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Location: New York; San Francisco ABOUT US: AI NEEDS A NEW INFRASTRUCTURE LAYER. WE'RE BUILDING IT AT MODAL. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation. Our team includes creators of popular open-source projects (e.g.,Seaborn https://github.com/mwaskom/seaborn,Luigi https://github.com/spotify/luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. THE ROLE: We’re building a platform that covers the whole life of an LLM: training it, deploying it, and observing it in production. We already run multi-node training, elastic inference, sandboxes, and distributed volumes, and we control the infrastructure underneath. We’re looking for research depth in post-training to sit alongside our systems and product work. We are looking for research scientists with a strong track record in reinforcement learning, machine learning, and foundation models, including large language and multimodal models, to join our research team. WHAT YOU’LL WORK ON: - Improve existing methods and develop new techniques for large-scale model training, optimization, and inference - Extend models to long-context and long-horizon tasks - Improve inference-time efficiency, reliability, and robustness in high-stakes real-world deployments YOU MAY BE A FIT IF: - You have a PhD in computer science, machine learning, or a related field - You have a demonstrated record of research accomplishments in reinforcement learning, machine learning, foundation models, or related fields - You have experience with large-scale training and inference infrastructure, including distributed systems and multi-node GPU clusters - You’ve developed, trained, optimized, or deployed state-of-the-art large-scale models - You have first-author publications at leading venues such as NeurIPS, ICML, ICLR, CoRL, CVPR, UAI, JMLR, or TMLR - You have a mission-driven mindset and a strong desire to translate research advances into meaningful product impact - You have a collaborative spirit and can work effectively across research and engineering teams Candidates with a master’s degree and significant research or industry experience will also be considered.

Location: New York; San Francisco ABOUT US: AI NEEDS A NEW INFRASTRUCTURE LAYER. WE'RE BUILDING IT AT MODAL. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation. Our team includes creators of popular open-source projects (e.g.,Seaborn https://github.com/mwaskom/seaborn,Luigi https://github.com/spotify/luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. THE ROLE: Most of the value of owning a model shows up at serving time. We’re building a platform that covers the whole life of an LLM (train it, deploy it, observe it), and inference is where teams feel the difference every day. We already run elastic inference, sandboxes, distributed volumes, and multi-node training, and we control the infrastructure underneath, so the serving stack is ours to shape rather than something we resell. You will do hands-on inference research at Modal, working with the research lead to pick high-impact bets and owning them end to end. The bets that matter most are the ones that move cost per token and tail latency on the workloads our customers actually run. WHAT YOU’LL WORK ON: - Own end-to-end inference research bets: speculative decoding, disaggregated prefill/decode, quantization (FP8, INT4), KV-cache and memory management, autoscaling for spiky serverless traffic, and whatever else the research agenda calls for - Train custom speculators against real production traffic and feed what you learn back into target models; acceptance length is the metric that decides the win - Work directly with customers alongside our Forward Deployed Engineers to deploy and tune models, and bring what you learn back into the research - Carry and expand collaborations with outside research labs, for example: - our work with ZLab on DFlash https://modal.com/blog/spec-is-all-u-need, a speculator design built on KV injection and blockwise parallel drafting - our work with SGLang on specdec https://modal.com/blog/host-overhead-inference-efficiency and multimodal inference https://modal.com/blog/boosting-multimodal-inference-performance-by-greater-than-10-with-a-single-python-dictionary performance - our work on Flash Attention 4 kernels https://modal.com/blog/flash-attention-4-faster - Work with engineering to turn frontier serving techniques into products: primitives for disaggregation, fast weight refresh for models that keep training after deployment, observability for quality and latency in production, or even a next-generation inference engine - Help shape the research agenda None of the above is prescriptive; your work will help guide our future. YOU MAY BE A FIT IF: - You have a research-leaning or systems background in LLM inference, with work you can point to - You’re fluent in the LLM serving stack, from kernels and quantization up to schedulers and autoscaling - You have a record of shipping research or systems that other people build on, whether in a lab or in industry - You have the drive to independently take a research bet from idea to result, working in the open with the rest of the team - You’re able to work in person in our NYC or San Francisco office

Location: Yanbu, Saudi Arabia; Manila, Philippines; Colombo, Sri Lanka; Dubai, United Arab Emirates; Kuala Lumpur, Malaysia; Kampala, Uganda Eram Talent, a reputable talent acquisition consultancy focused on providing top-notch recruitment solutions for its clients, is seeking to hire a Mechanical Technician for its Oil and Energy division. As a Mechanical Technician at Eram Talent, you will be responsible for ensuring that the mechanical systems and components of various projects, particularly in the oil and energy sector, are installed and maintained efficiently. You will also work closely with other technicians to analyze and troubleshoot mechanical issues, as well as recommend effective solutions for clients. Eram Talent prides itself on its extensive global reach and network, which ensures that high-potential professionals with sophisticated skills from various industries are recruited to meet the needs of clients across different geographies. Responsibilities S hould have a Diploma in Mechanical engineering or vocational certificate in appropriate discipline and a minimum experience of 5 year in mechanical maintenance of equipment similar those in a large utility company or experience in large petrochemical /refinery .shall have been in the field of repair, maintenance servicing and overhaul. He should have experience in operation of mechanical and electro mechanical equipment and system He shall be conversant with usage of measuring and testing instrument. Maintain and repair mechanical systems and components in various oil and energy projects. Perform routine maintenance on mechanical equipment and machinery. Monitor and inspect mechanical systems and related work to ensure compliance with safety regulations and industry standards. Troubleshoot and diagnose mechanical problems and recommend effective repair solutions. Read and interpret technical drawings and schematics related to mechanical projects. Collaborate with other technicians and engineers to provide effective mechanical solutions. Participate in the commissioning and start-up of new mechanical systems. Requirements Proven experience as a mechanical technician in a utility industry. Strong knowledge of mechanical systems, equipment, and components. Demonstrated ability to read and interpret technical drawings and schematics. Excellent analytical and problem-solving skills. Good communication and interpersonal skills. Ability to work under pressure and handle multiple tasks efficiently. Knowledge of safety regulations and industry standards.

Location: Paris; London ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. THE ROLE Mistral AI is seeking Applied Scientist Interns and Research Engineer Interns to drive innovative research and collaborate with clients on complex research projects. You will develop SOTA models across different modalities such as text, image, and speech. By developing novel methods and research ideas you will apply these models across a diverse set of use cases and domains. Working cross-functionally with both external and internal science, engineering, and product teams you will deliver high-impact AI solutions that turn the needle. WHAT YOU WILL DO - Run pre-training, post-training and deploy state of the art models on clusters with thousands of GPUs. - Generate and curate data for pre-training and post-training, working on evaluations and making sure the model's performance beats expectations. - Develop the necessary tools and frameworks to facilitate data generation, model training, evaluation and deployment. - Collaborate with cross-functional teams to tackle complex use cases using agents and retrieval pipelines. - Manage research projects and communications with client research teams. WHAT WE'RE LOOKING FOR - Fluent in English with excellent communication skills — at ease explaining complex technical concepts to both technical and non-technical audiences. - Expert with PyTorch or JAX. - Not afraid of contributing to a big codebase; finds their way around independently with little guidance. - Writes clean, readable, high-performance, fault-tolerant Python code. - Doesn’t need roadmaps: moves independently and navigates uncertainty with confidence. - Low-ego, collaborative and eager to learn. - Track record of success through personal projects, professional projects or academia. NICE TO HAVE - Pursuing a PhD / Master in a relevant field (Mathematics, Physics, Machine Learning) — exceptional candidates from other backgrounds welcome. - Preferred duration: at least 6 months. Priority to candidates about to finalise their studies. - Research experience in agents, multimodal models, world models, robotics, diffusion models, cybersecurity, 3D understanding/generation, or time-series analysis. - Contributions to a large open-source or industry codebase. - Publications in top academic journals or conferences. - Enjoys improving existing code: typing, tests, CI pipelines. Location & work authorization: This internship is available only in France or the UK. Please apply only if you have the required work authorization to complete the internship in the relevant country for its full duration. WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: Palo Alto; New York; San Francisco Workplace: Hybrid ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. THE ROLE As an AI Scientist, you will research and develop novel methods to advance the capabilities of large language models. This role exists to push the boundaries of what AI can achieve, enabling Mistral to deliver systems that transform how businesses operate and integrate into daily life. You will join a team of engineers and scientists focused on building tooling and infrastructure to train, evaluate, and analyse AI models at scale. Your work will span multiple use cases and modalities, from reasoning and code generation to text, image, and speech processing. The impact of this role is far-reaching, as you will collaborate cross-functionally to ship AI systems that have real-world applications and open-source frontier models for global benefit. WHAT YOU WILL DO - Research and develop innovative methods to advance the frontier of large language models. - Build tooling and infrastructure to enable large-scale training, evaluation, and analysis of AI models. - Collaborate with scientists, engineers, and product teams to deploy AI systems with tangible real-world impact. - Design and implement solutions that address complex challenges in AI model development and deployment. - Contribute to the open-source community by releasing cutting-edge models and tools. WHAT WE'RE LOOKING FOR - A strong publication record in a relevant scientific domain, such as machine learning or natural language processing. - High proficiency as a software engineer in at least one programming language, such as Python, Rust, Go, or Java. - Hands-on experience with AI frameworks like PyTorch or JAX, or distributed systems such as Ray or Kubernetes. - A self-starter mindset, with the autonomy to drive projects forward and the ability to work effectively in a team. - Experience with training large transformer models in a distributed manner. - Familiarity with the full MLOps stack, including fine-tuning, evaluation, and deployment. - Experience with audio or speech processing, including input/output and NLP.   WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: Valencia Workplace: OnSite ROLE HIGHLIGHTS: - Configuration Manager - Location: Valencia, Spain - Department: Manufacturing Assurance; Global Manufacturing Organisation - Reports to: Configuration and Change Team Lead - Employment type: Permanent - Workplace model: Hybrid - Employment is subject to applicable security screening (incl. SUPO, where required) WHY THIS ROLE MATTERS: We are looking for a highly skilled Configuration Manager to join our Configuration Management and Change Control team within the Global Manufacturing Organization (GMO). In this role, you will play a crucial part in executing our CM functions across multi-domain environments and ensuring flawless product data integrity for multi-site manufacturing. As a Configuration Manager, your mission is to actively bridge engineering and manufacturing by capturing product information, structuring it effectively, and managing changes throughout the product lifecycle for the local production site. Reporting to the global CM Team, you will act as a subject matter expert, driving configuration consistency and ensuring changes are rigorously controlled and documented within the local site. WHO WE ARE ICEYE is the world leader in sovereign intelligence from space. We deliver persistent monitoring capabilities to detect and respond to changes in any location on Earth. ICEYE owns the world's largest and most advanced SAR (synthetic aperture radar) satellite constellation. To our customers we provide intelligence with unmatched quality, latency and revisit times, in any weather, day or night. To governments who choose to operate their own constellation we provide this proven capability as a sovereign system. ICEYE-built constellations serve customers in defence and intelligence, environmental monitoring, insurance and emergency management. We enable fast decisions that contribute to a safer future. Founded and headquartered in Finland, ICEYE operates globally with over 1000 employees across Europe, North America, the Middle East, and Asia-Pacific.   YOUR DAY-TO-DAY RESPONSIBILITIES   - Execute and support the continuous improvement of the Configuration Management Standard Operating Procedures (CM SOPs). - Establish and manage product baselines for assigned segments, ensuring absolute data consistency across PLM, ERP and MES systems. - Independently manage the day-to-day change management process for assigned projects; process ECRs, ECOs, RFDs, and RFWs, and actively participate in or facilitate Change Control Boards (CCB). - Structure and maintain EBOM/MBOM as well as CIDL/ABCL configurations, ensuring seamless transitions and accurate product breakdowns. - Apply and enforce item classification schemes, part numbering conventions, and product breakdown structures across hardware and software. - Ensure that all relevant personnel at the site are trained on CM processes, workflows, and system usage, and maintain awareness of updates or changes to established procedures. - Act as an ambassador for the PLM and MES platforms, proactively guiding cross-functional teams on CM best practices and effective system utilization to drive adoption, streamline workflows, and protect data integrity. - Collaborate closely with program managers, engineers, supply chain, and quality assurance to resolve configuration issues and maintain integrity. - Track and compile CM metrics, KPIs, and configuration status reports for your assigned projects, identifying risks and proposing solutions. - Adapt CM practices to suit a rapid-paced environment, balancing prototype cycles, design iterations, and multi-program concurrency. WHAT WE’RE LOOKING FOR MUST HAVES: - Engineering background (Bachelor’s in electrical, electronics, mechanical, aerospace, or a relevant engineering discipline). - 4 to 6 years of experience in configuration management or a closely related engineering discipline within the aerospace, defense, or automotive industry. - Working knowledge of configuration management standards (e.g., ECSS-M-ST-40, EIA-649, or MIL-STD-973). - Experience with hardware and/or software configuration management within a multi-domain product environment. - Demonstrated experience processing change documentation and actively contributing to a CCB. - Strong understanding of the distinction between EBOM and MBOM, product breakdown structures, and item classification methodologies. - Hands-on experience with at least one PLM system (e.g., Arena, Windchill, Teamcenter, Enovia, Aras) and familiarity with an MES or ERP system. - Ability to work independently and collaboratively in a fast-paced environment where processes are still maturing. - Fluent in English. Spanish is a plus. NICE TO HAVES: - Familiarity with ground segment or mission operations system architectures. - Exposure to software CM concepts (version control, branching strategies, CI/CD pipelines). - Demonstrated experience in programming and AI tools for creating automations, tools and for day-to-day use - Experience assisting in the implementation or testing of PLM/MES system updates. - Certification or coursework in CM (e.g., CM2, CMIPC, NDIA CM training). - Experience in a manufacturing scale-up or transition environment. APPLICATION PROCESS - Talent Screening - Hiring Manager Interview - Assessment and Presentation - Final Interview WORKING AT ICEYE At ICEYE, you’ll join a diverse and highly engaged team united by the ambition to make the impossible possible. As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. Your growth, wellbeing, and success are a priority, with continuous professional development, training opportunities, and a culture where collaboration is how we win. HOW WE WORK (OUR VALUES) Make the impossible possible: We set ambitious goals and stay calm under pressure. We bring grit, optimism, and ownership when things get hard, and we keep moving until we find a way. - Be curious: Go deep, ask questions, listen carefully, and think critically. Understand the “why” behind decisions. - See the big picture: Stay close to what’s happening across the company so you can make better decisions. Consider how your work affects others. - Drive effective teamwork: Create psychological safety, invite different perspectives, and build inclusive teams. There are no bad questions. - Act as one team: We win together. We match tasks to the right owner and stay agile as priorities shift. - Have fun: What we do matters—and it should be enjoyable. Celebrate progress, take pride in results, and share the wins. BENEFITS Our benefits are designed to support your health and wellbeing, at work and beyond. We keep improving them based on employee feedback, and offerings vary by location. Talent Acquisition will confirm what applies for this role and location during the process. Base salary range for this position is dependent on experience, and will be negotiated individually. OUR COMMITMENT TO DIVERSITY, EQUITY, AND INCLUSION We want ICEYE to be a place where people can be themselves and do great work. Different backgrounds and perspectives make us stronger, which is why we work to create an environment where people feel included, respected, and able to speak up. Whatever your background, we want you to bring your authentic self to the table. We’re committed to fair, inclusive hiring and equal opportunity. Everyone is welcome to apply. If you need any adjustments or support during the recruitment process, tell us—we’ll do our best to help. Apply now to start your ICEYE journey, and help us continue to make the impossible possible together. Read more about ICEYE and working with us at iceye.com http://iceye.com.

Location: Merlimau, Melaka, Malaysia Bradken is a leading solutions provider and global manufacturer of innovative, custom-engineered products for the resources sector. With a workforce of more than 3,000 employees, our ability to adapt and evolve keeps us firmly positioned as global leaders in the wear solutions market. About the role Bradken is seeking a Metallurgist to support metallurgy, quality and process control at our Merlimau manufacturing facility. This is role is suited to someone who has developed a solid foundation in foundry operations and is ready to take greater ownership of day-to-day technical decisions. Reporting to the Technical Lead, you will work closely with production and technical teams across melting, heat treatment, inspection and product quality. It offers the opportunity to deepen your foundry expertise while contributing directly to product quality, manufacturing performance and continuous improvement. What You Will Do Monitor and provide technical support for melting, heat treatment and other metallurgical processes. Review inspection and test results to determine whether products meet customer and specification requirements. Prepare material test certificates, inspection records and technical documentation. Investigate non-conformances and product failures, identify likely causes and recommend practical corrective actions. Work with production teams to resolve quality issues without compromising safety or technical standards. Support material selection, process changes and improvements to existing products. Help improve manufacturing cost and performance through better metallurgical control and problem-solving. Maintain quality procedures, process controls and relevant Quality Management System requirements. Ensure testing and inspection equipment remains calibrated and fit for use. Communicate quality findings clearly to production, technical and sales stakeholders. Participate in Gemba, 5S, safety activities and continuous improvement initiatives across the site. What You Will Bring A degree in Metallurgy, Materials Science is essential At least three years of relevant experience in a foundry, metals manufacturing or similar environment. Working knowledge of melting, heat treatment, metallurgy and material properties. Experience supporting process control, product inspection, quality investigations or non-conformance analysis. Ability to interpret technical requirements and prepare clear reports, procedures and test documentation. A structured approach to problem-solving and the confidence to make sound technical recommendations. Good communication skills and the ability to work effectively with production teams in a hands-on plant environment. Exposure to Lean Manufacturing, Kaizen, Six Sigma or similar improvement methods would be useful.  Current legal right to work in Malaysia. Based in Merlimau or within practical commuting distance, with the ability to attend the Merlimau site daily. What Will Help You Succeed You will be practical, analytical and comfortable working in a hands-on manufacturing environment. You can build effective relationships with production and technical teams, investigate issues thoroughly and communicate clear recommendations. You take ownership of your work, use sound judgement and remain focused on improving quality, process performance and customer outcomes. Why join us? Bradken is committed to providing a safe, inclusive and collaborative workplace where people are encouraged to challenge existing thinking and develop better solutions. We offer: Safety first environment and mindset Flexible work options Competitive Total Reward Packages EAP for you and your family How we hire : About Our Screening Process As we work with teams around the world, time‑zone differences can make live screening challenging. To support a fair, consistent, and inclusive evaluation, we may invite candidates to complete a one‑way video screening at a time that suits them.If you require adjustments or an alternative format, we’re happy to discuss this. Before commencing employment , you will be required to complete a psychometric assessment and a pre-employment medical, including drug and alcohol testing. We respectfully request no recruitment agency approaches. Bradken is an Equal Opportunity Employer. We are committed to providing a diverse, inclusive, engaging and flexible environment for our people. All employment decisions are based on merit, competence, performance and business needs.

Location: United States- Milwaukee, Wisconsin Founded in 1985, ATS is a company with a presence in the United States, Mexico and the United Kingdom. We are professionals in Industrial Maintenance and we make factories run better. Fundada en 1985, ATS es una empresa con presencia en los Estados Unidos, México y el Reino Unido. Somos profesionales en mantenimiento industrial y hacemos que las fábricas funcionen mejor. Principal Duties/Responsibilities: · Performs expert level break-fix & preventative maintenance. This includes but is not limited to: observing devises in operation to location root cause of problem; dismantling devices to gain access to and remove defective parts; examining parts to detect imperfections; adjustment of functional parts of devices and control instruments; repair and/or replacement of defective parts; testing of device to observe performance; and performing tests for electrical circuitry and mechanical systems; reconditioning and repairing machine tools. · Identifies and sources parts, supplies and repair items as necessary. Performs evaluations of alternatives to improve cost and / or reliability of equipment. Compiles alternative packages for purposes of retrofit, upgrade, or alternative functionality of equipment. · Independently performs maintenance as per industry standards; creates maintenance standards and instructions for altered or new manufacturing equipment. · Directs customer counterparts in maintenance optimization efforts, reliability, and preventative maintenance processes. · May be required to setup and operate multiple machining operations including but not limited to: lathe, drill press, grinder, and other metalworking tools to make and repair parts. May perform welding tasks. · Conforms and complies with customer contractor codes of conduct, housekeeping standards, and safety processes · Documents work performed in service reports, applicable management systems, and written explanation regarding observation and collected equipment performance data. Compiles technical manuals, operations, and maintenance processes relevant to equipment upgrades and automation integrations. · Provides assistance to lower level technicians and leadership to project teams. Performs expert functions as a part of training and development. · Alters, troubleshoots and analyzes complex control systems to resolve in-depth software/ hardware and configuration problems. · Utilizes advanced maintenance technologies to collect equipment performance data. Observes trends and makes recommendations. · Conducts on-the-job training and leads technical programs for technical development of customers and coworkers · Follows all safety related policies, rules, regulations, technical instructions and guidelines. Situational awareness and identify unsafe behaviors and conditions. Knowledge, Skills, Abilities (KSAs), & Competencies: Essential KSAs: · High School Graduate or equivalent (GED). · Associates degree with a Technical focus and 12 years of related experience in specific industry; or, 15 years of experience in specific industry. · Possesses comprehensive understanding of electrical, mechanical, fluid power and control systems. Can analyze the problem, synthesize alternative solutions, and perform repairs. · Must be able to use basic hand tools and specialized tools, and programming software as appropriate. · Extensive travel required. (Local and/or National) Desirable KSAs: · Experience in condition based maintenance techniques, precision mechanical alignments, maintenance of applicable process equipment, and automation integration. · Robust experience in programmable logic controllers, field device troubleshooting, maintenance of electrical drive and motor systems, and motion control devices. Competencies: · Communications · Customer Focus · Personal Discipline · Safety Physical Demands and Working Conditions: While performing the duties of this job, the employee is regularly required to stand; walk; use hands/fingers to handle, or feel; reach with hands and arms; climb, ascend/descend or balance to heights that may require a ladder or lift; stoop, kneel, crouch, or crawl in confined spaces; and talk or hear. The employee is occasionally required to sit. The employee must occasionally lift and/or move more than 50 pounds. The employee is regularly required to use close vision and color vision. The employee is occasionally exposed to outside weather conditions and risk of electrical shock. Work is typically performed in a factory environment and is usually very loud. In the factory environment, the employee may be exposed to hazardous materials and/or greasy or slippery factory floors. ATS believes in fair and equitable pay. Please note that actual salaries may vary within the range, or be above or below the range, based on factors including, but not limited to, education, training, experience, professional achievement, business need, and location. We also offer market leading benefit programs including Medical, Dental and Vision plans, PTO, a 401k retirement plans with employer matching, tuition reimbursement, and more. Pay Range USD $47.26 - $60.43 Please note that compensation will vary based on the candidate’s experience and location. ​ ATS is committed to providing equal employment opportunities in all aspects of employment to all applicants and employees without regard to age, color, race, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, disability, veteran status, genetic information, or other legally protected status. Review the privacy policy here. ATS se compromete a brindar igualdad de oportunidades de empleo en todos los aspectos del empleo a todos los solicitantes y empleados, independientemente de su edad, color, raza, religión, sexo (incluido el embarazo, identidad de género y orientación sexual), origen nacional, discapacidad, estatus de veterano, información genética u otro estatus legalmente protegido. Revisión de la política de privacidad aquí here.

MDiet — early-stage HealthTech стартап, разрабатывающий AI-powered платформу, которая помогает снижать количество повторных госпитализаций пациентов. Продукт ориентирован на рынок здравоохранения США. Возможна релокация в США при успешном росте компании, обсуждается индивидуально. Tech Stack: • LangGraph + LangChain / Agentic AI • vLLM + Hugging Face • PyTorch + PEFT / LoRA / QLoRA • Vector databases: pgvector, Qdrant, Weaviate, Chroma, Pinecone • Advanced RAG, Prompt Engineering, Embeddings • FastAPI + PostgreSQL • Docker + Kubernetes + async processing: Arq / Celery / Redis Streams • Apache Airflow для data pipelines • AWS Cloud: EC2, S3, SageMaker, Lambda, RDS, Bedrock • Structured output: Outlines / Guidance / Instructor • Evaluation & observability: Langfuse, RAGAS / DeepEval, Prometheus + Grafana • MLOps practices Задачи: • Проектирование и разработка multi-step LLM agents и pipelines для обработки медицинских данных • Разработка production RAG-систем с высоким уровнем grounding и качеством citation • Деплой и оптимизация self-hosted LLM inference через vLLM с фокусом на cost и throughput optimization • Fine-tuning open-source моделей на domain-specific medical data с измеримым улучшением результата • Построение data pipelines и versioning для документов, embeddings и training data • Создание evaluation frameworks, guardrails и систем контроля hallucinations • Реализация reliable structured output и data extraction • Тесное взаимодействие с physicians и Platform Architect Требования: • Сильный hands-on опыт с production LLM systems: RAG, agents, inference • Опыт fine-tuning open-source LLMs: LoRA / QLoRA / PEFT, с измеримыми результатами • Опыт построения data pipelines и versioning для LLM / RAG workloads • Сильные навыки в evaluation, hallucination reduction и structured output • Production Python + FastAPI + async processing • Опыт с self-hosted inference: vLLM или аналогичные решения • Опыт GPU optimization • Английский язык на уровне C1: strong written and spoken communication skills • Bachelor’s degree или выше в Computer Science, Artificial Intelligence, Machine Learning, Data Science или смежной технической области • 5+ лет опыта в ML/AI • 1.5–2+ года опыта в production LLM projects • Опыт с MLOps Будет плюсом: • Опыт в medical / clinical NLP или regulated domains • Cost modeling и optimization of LLM workloads • MLOps и production fine-tuning pipelines • Apache Airflow, Prometheus / Grafana или AI Solution Architecture • Publications in relevant fields Условия: • Работа в early-stage HealthTech startup с продуктом для US healthcare market • Возможность участвовать в создании AI-powered платформы с реальным влиянием на healthcare-процессы • Офисный формат в Астане первые 7–9 месяцев, далее возможен hybrid/remote • Зарплата $4 000 – $5 000 USD gross + equity • Возможность релокации в США при успешном росте компании, обсуждается индивидуально

Обязанности: • управлять проектами по разработке агентов: сбирать требования, формулировать метрики качества, согласовывать архитектуру, разрабатывать, проектировать MLOps-пайплайнов • разрабатывать и внедрять AI-агентов на базе LLM (Python, LangChain, LangGraph, GigaChain) • интегрировать решения с core-системами банка (REST, Kafka, PostgreSQL). Требования: • опыт разработки на Python от 3 лет • опыт создания backend приложений и разработки API используя веб-фреймворк FastAPI • опыт работы с PostgreSQL (SQL, индексы, транзакции), SQLAlchemy/asyncpg, Redis • опыт в разработке и проектировании концептуальной и детальной архитектуры ИТ-решений (PoEE, TOGAF), построения MLOps-пайплайнов (Groovy, Jenkins), понимание базовых принципов MLSecOps, LLMOps • опыт создания AI-агентов и их внедрения будет преимуществом. Условия: • гибридный формат работы (3 дня в офисе) • годовой бонус и ежегодный пересмотр • расширенный ДМС с первого дня + стоматологию и льготное страхование для семьи • корпоративный университет Сбера, внутреннюю образовательную платформу, участие в IT-конференциях • офис на Варшавском шоссе д.9 с зонами отдыха и спортзалом • льготную ипотеку в Сбере, корпоративную пенсионную программу, подписку СберПрайм с возможностью совместного использования на трёх близких, скидки от партнеров и сервисов группы компаний.

Location: Prague, Czechia D-ploy is an IT and Engineering Solutions company with operations throughout the EMEA region including Switzerland, Germany, Czech Republic, Austria, UK, as well as the USA. We pride ourselves on delivering innovative and superior services and solutions to numerous industry-leading clients. By building relationships and trusted partnerships within the IT community, we optimize our customer‘s IT productivity and contribute to the organization’s success and value. We are interested in talking to engaging, flexible, and solution-oriented individuals who are looking to become a part of a dynamically growing and international organization. We are focused on creating value where IT counts, join us! Tasks and Responsibilities Support of IT tools for end-users & IT project owners Act as liaison between the client and/or appropriate resolver teams Create / Manage our IT platforms on behalf of user and appropriate resolver teams Providing initial response time to the requester using the predetermined process & SLA. Perform fault isolation in support of clients escalating as required. Use collaboration technologies such as Microsoft Teams, Webcasting, etc. Escalation of tickets to other Support teams when necessary, On-site Incident and Request resolution, ticket closure. Report customer feedback and potential product requests Help create technical documentation and manuals Requirements 2+ years of experience in Service Desk / IT support centre / 1st/2nd line support Working knowledge of office automation products and generally used SW Hands-on experience with Windows/Linux/Mac OS environments Ability to perform remote troubleshooting and provide clear instructions Excellent problem-solving and multitasking skills Customer-oriented attitude with good communication skills Fluent English & Czech or Slovak (spoken & written); German is a plus Candidates must declare Criminal record extract not older than three months Benefits Broad range of activities, tasks, and projects Flexible working conditions Minimum 5 weeks of vacation Paid sick days Meal vouchers Vouchers (B-day voucher, wedding, and new born surprise) Contributions to wellness programs (multisport card) Fishing for Friends program – our referral program Refreshments in the D-ploy office Further development and professional advancement Friendly and international working environment Company-sponsored events Competitive salary and various benefits Is IT in your DNA?

Location: Bengaluru, India We are seeking a Gemini Enterprise, Agent Platform and Google Workspace Deployment Lead to join our Cloud Operations Hub. This is a unique hybrid role with a distinct 50/50 split in focus. This is a unique role for an extremely innovative AI expert. DataArt will provide the environment to test, deploy and scale Agents while also allowing you to fully engage with clients and help accelerate the GE adoption. 50% Internal Optimization: Serving as our internal champion for Gemini Enterprise & Agent Platform and integration with GWS, automating administrative workflows, and managing our cloud ecosystem. 50% Client Delivery: Partnering with clients to deliver Gemini Enterprise solutions, driving GCP automation, and guiding them through modern cloud transformation initiatives. This project focuses on building and optimizing a modern Google Cloud ecosystem that combines internal cloud operations with client facing AI driven solutions. You will contribute to deploying and scaling Gemini Enterprise adoption, automation workflows, and cloud transformation initiatives across multiple environments. Gemini Enterprise Delivery: Lead the deployment and enablement of Gemini Enterprise for clients, helping them integrate GenAI capabilities into their workflows and Google Workspace environments. Cloud Transformation: Consult with clients to architect, automate, and optimize their GCP infrastructure, aligning their setups with modern cloud-native best practices. Automation Engineering: Build automated workflows for clients to streamline GCP project creation, billing configurations, and resource management. Client Enablement: Act as a technical subject matter expert, conducting workshops or creating documentation to help client teams adopt Gemini Enterprise and advanced GCP features. Workspace & Gemini Administration: Manage internal Gemini Enterprise and Google Workspace environments, including access controls, license allocation, and utilization auditing. Identity & Access Management (IAM): Configure and maintain secure IAM roles, OAuth consent screens, and API credentials following the principle of least privilege. Workflow Automation: Develop and maintain automated scripts to handle employee lifecycle events (onboarding/offboarding), license monitoring, and group-based provisioning. Ecosystem Integration: Monitor and optimize synchronization between Microsoft Entra ID and Google Workspace; integrate automation into Jira Helpdesk workflows to process requests automatically. Financial Operations (FinOps): Implement internal GCP cost controls, setting up budgets, alerts, and cost-monitoring dashboards. Google Cloud Expertise: Strong hands-on experience with GCP (Project hierarchy, folder structures, billing, API enablement) and advanced Google Workspace and administration. Gemini Enterprise Knowledge: Familiarity with deploying, managing, and driving adoption for Gemini Enterprise features (or similar enterprise-level GenAI suites). Client-Facing Skills: Proven ability to interface with clients, understand their business transformation goals, and deliver technical solutions effectively. Automation & Scripting: Solid experience using scripting or APIs to automate repetitive IT administrative tasks and user lifecycle workflows. Identity Governance: Deep understanding of IAM, OAuth scopes, and syncing third-party identity providers like Microsoft Entra ID. Operational Discipline: Experience working within structured environments (using ticketing systems like Jira) with a strong commitment to documenting changes for traceability. Experience integrating Jira Service Management with automated webhooks or cloud functions. Active Google Cloud certifications (e.g., Professional Cloud Architect, Professional Google Workspace Administrator). Familiarity with Google partner platforms such as Skill Boost or Partner Advantage.

Location: Kundl, Austria D-ploy is a leading IT and Engineering Solutions company with operations worldwide. Our mission is to deliver innovative and D-ploy is an IT and Engineering Solutions company with operations throughout the EMEA region including Switzerland, Germany, Czech Republic, Austria, UK, as well as the USA. We pride ourselves on delivering innovative and superior services and solutions to numerous industry-leading clients. By building relationships and trusted partnerships within the IT community, we optimize our customer‘s IT productivity and contribute to the organization’s success and value. We are interested in talking to engaging, flexible, and solution-oriented individuals who are looking to become a part of a dynamically growing and international organization. We are focused on creating value where IT counts, join us! Responsibilities Onsite IT/OT support including break/fix for thin clients, IPCs, handhelds, and lab equipment Local hands-and-feet support for global IT teams Troubleshooting automation and production systems (PLC, SCADA, OT networks) Support for software upgrades, patching, and backups in lab/OT environments Incident, problem, and change management (ITIL-based) Compliance with CSV, GxP, and data integrity procedures Participation in disaster recovery and business continuity planning Requirements Bachelor's in IT, Engineering, or related field 5+ years of IT/OT support experience in regulated environments Experience with industrial IT systems, SCADA/PLC, and lab software Networking knowledge (VLAN, Firewall, Routing) ITIL process knowledge; ServiceNow/Remedy ticketing Database Troubleshooting Experience MSSQL Available for onsite support and 24/7 on-call rotation Fluency in German and English (both written and spoken) is essential. Candidate must declare Criminal Record no older than 3 months. Benefits Broad range of activities, tasks, and projects Flexible working conditions Vouchers (B-day voucher, wedding, and new born surprise) Fishing for Friends program – our referral program Refreshments in the D-ploy office Further development and professional advancement Friendly and international working environment Company-sponsored events Is IT in your DNA?

Location: Paris; London Workplace: Hybrid TL;DR: We're looking for a research scientist to build autonomous, large-scale environments that push LLM agents (single and multi-agent) to failure, and study how they actually break. About us White Circle http://whitecircle.com is an AI Safety company building the safety, reliability, and optimization layer for AI systems. At the core of our platform are policies – simple natural-language rules that define what an AI model should and shouldn’t do. We automatically test, enforce, and continuously improve these policies at scale. - We’ve recently raised our Series A funding round, taking our total funding to $70M. Our investors include top funds, founders, and senior leaders at OpenAI, Anthropic, HuggingFace, Mistral, DeepMind, Datadog, Sentry, and others - We process over 100M+ API calls every month - We fine-tune and train our own LLMs so they run faster and cheaper than any open or proprietary model We’re a small, highly focused team. If you want to work deeply on hard problems, see your work ship to production quickly, and influence how AI safety is actually built – you’re the one we need. About the team White Circle's fundamental research team works on the science of how AI systems fail: where agents break, why misalignment and unsafe behaviours emerge, and how to catch them before they reach the real world. We build the evals, benchmarks, environments, and tooling that empirically study the most pressing AI safety concerns — some of which become the guardrails shipped in our products, and some of which become public writeups. What you’ll do - Build adversarial environments for agents: complex, uncertain settings that sit on the boundary of agent capability and alignment, where failure is informative rather than trivial. - Build realistic multi-agent environments and instrument them so emergent breakdowns are observable — failures that arise from the agents themselves, not ones scripted from the outside. - Run experiments end to end, against external APIs and our own models, orchestrating many agents in parallel. - Catalogue concrete agent failure modes and build the tooling to surface them at scale. - Turn findings into internal models of agent behaviour and into public writeups. You’ll fit right in if you - Have built at least one non-trivial agent environment or automated research pipeline that ran end to end (single- or multi-agent), and can talk through what broke and why. - Have strong software and AI engineering skills. Can independently orchestrate many agents and containers in parallel without that orchestration being the bottleneck. - Have a track record of empirical research in agents, red-teaming, or post-training where you defined the question, ran it, and drew a defensible conclusion. - Are a fast empirical iterator who is comfortable defining the question when there's no playbook: can take a fuzzy concern ("do these agents collude under pressure?") and turn it into a concrete, falsifiable experiment. - Are an AI power-user — fluent with frontier models and coding agents in your daily work. A big plus - Published research at A* venues on automated red-teaming, agentic environments, or post-training. - Experience building monitoring for model failures and anomalous behaviour. - Experience reproducing public benchmark results and finding where the original methodology is fragile or misleading. - An MSc or PhD in machine learning, computer science, cognitive science, computational neuroscience, physics, or a related quantitative field. - AI safety fellowship (MATS, ASTRA, Anthropic Fellows, etc.), or a comparable self-directed research record. Compensation & benefits - Competitive compensation, including equity - Flexible time off - Office in central London/Paris with flexible hybrid setup - Relocation support if you’re moving to Paris, available after your probationary period - Premium private health insurance - Mental health support, including coverage for therapy when you need it - Lunch and dinner covered when you work from the office - Learning and development support for courses, conferences, and opportunities to grow your skills - All the hardware, subscriptions, tools, and services you need - Team off-sites twice a year: we’ve recently been to the Alps, Saint-Tropez, and Marbella Process 1. Intro call with Talent 2. Test assignment 3. Technical interview with Head of Fundamental Research 4. Final interview with CEO

Location: Mexico (Remote) Workplace: Remote ABOUT THE OPPORTUNITY We are looking for experienced Manufacturing and Industrial Operations professionals to support a cutting-edge AI benchmarking project focused on industrial, production, and supply chain environments. As a Subject Matter Expert, you will create and review realistic, high-quality scenarios that reflect operational, engineering, procurement, production, logistics, and inventory management challenges across manufacturing facilities and industrial operations. Your expertise will help ensure AI systems understand and respond accurately within one of India's most strategically important sectors. WHAT YOU’LL DELIVER - Design realistic Manufacturing and Industrial Operations scenarios in the target language or English grounded in target locale operational contexts (e.g., production workflows, procurement coordination, quality control, industrial maintenance, process optimization, warehouse operations, shipping and receiving activities) - Adapt structured evaluation rubrics for operational problem-solving, engineering analysis, inventory coordination, and production management tasks - Review AI and human-generated responses for factual accuracy, operational efficiency, safety awareness, and industrial realism - Contribute to “gold standard” solutions reflecting best practices across target locale manufacturing, engineering, and supply chain operations QUALIFICATIONS - Native-level of target language with strong professional English proficiency - 5+ years of professional experience in Manufacturing, Industrial Operations, Production Management, Engineering, Procurement, or Supply Chain Operations - Background in one or more relevant roles: Purchasing & Procurement, Production Supervision, Industrial Engineering, Mechanical Engineering, Inventory Control, Warehouse Operations, Logistics Coordination, or Manufacturing Operations - Strong understanding of industrial workflows, operational safety standards, production processes, procurement procedures, and manufacturing environments WHY COLLABORATE WITH LILT? - Your schedule, your rules. As an independent contractor, work when you want, as much or as little as you want. No fixed hours, no check-ins, no micromanaging. - Get paid quickly and fairly. We respect your time and your expertise. Competitive rates, prompt payments, no chasing invoices. - Work on projects that actually matter. Contribute to cutting-edge AI and language technology that is shaping how humans and machines communicate. - Be part of something bigger. Join a global community of linguists, subject matter experts, and language professionals who are advancing human knowledge together. - Grow without limits. As a Lilt contractor you get access to diverse, innovative projects that expand your portfolio and sharpen your skills across industries and domains. - Have fun doing what you love. Bring your language skills to life on projects that are as interesting as they are impactful. WHAT TO CONSIDER BEFORE APPLYING - Not ideal as a full time job or primary income source. Work availability fluctuates with project demand, making this better suited as a supplemental income stream. As a 1099 contractor, you won't receive benefits such as health insurance, paid time off, or retirement contributions, and hours are not guaranteed. - Requires reliable availability and commitment. Once you accept a task, we expect quality work and on-time delivery. Most tasks require a minimum of 2 hours per day or 10 hours per week. If your schedule is unpredictable, this may not be the right fit. - Geographic restrictions may apply. We cannot engage contractors in regions subject to international embargo or sanctions. As a 1099 contractor, you are solely responsible for your own tax obligations. We recommend consulting a tax professional before engaging. HOW TO JOIN OUR EXPERT COMMUNITY Step 1: Apply with the English-language version of your Resume/C.V. highlighting your expertise in the domain. Step 2: Register in Tipalti to ensure a smooth payment process Step 3: Finalize onboarding and join the Production team AI is changing how the world communicates — and LILT is leading that transformation. LILT's mission is to make the world's information available to everyone, no matter the language they speak. Join our global community who thrive on innovation and excellence. Our collective knowledge, uniqueness, and skills deliver multilingual AI and human-verified services to Enterprises, Governments, and AI Developers around the world. Earn money. Have fun. Advance human knowledge. Work on diverse projects from anywhere, any time you want. Get paid quickly and fairly, and build your professional network in a supportive community—all through a streamlined application process tailored to your expertise. Information collected and processed as part of your application process, including any job applications you choose to submit, is subject to LILT's Privacy Policy at https://lilt.com/legal/privacy. At LILT, we are committed to a fair, inclusive, and transparent hiring process. As part of our recruitment efforts, we may use artificial intelligence (AI) and automated tools to assist in the evaluation of applications, including résumé screening, assessment scoring, and interview analysis. These tools are designed to support human decision-making and help us identify qualified candidates efficiently and objectively. All final hiring decisions are made by people. If you have any concerns, require accommodations, or would like to opt-out of the use of AI in our hiring process, please let us know at recruiting@lilt.com. LILT is an equal opportunity employer. We extend equal opportunity to all individuals without regard to an individual’s race, religion, color, national origin, ancestry, sex, sexual orientation, gender identity, age, physical or mental disability, medical condition, genetic characteristics, veteran or marital status, pregnancy, or any other classification protected by applicable local, state or federal laws. We are committed to the principles of fair employment and the elimination of all discriminatory practices.

Задачи: — Обеспечивать исключительную поддержку клиентов по телефону, электронной почте и в чате, поддерживая высокий уровень эмпатии, ясности и профессионализма — Быстро и точно решать сложные технические и процедурные вопросы, при необходимости эскалируя их — Обрабатывать большой объем входящих запросов с отличным приоритизированием, управлением временем и вниманием к деталям — Проводить проактивные обращения и продуманные последующие действия для предотвращения повторяющихся проблем и повышения удовлетворенности клиентов — Вносить вклад в создание базы знаний и улучшение процессов, выявляя тенденции поддержки и болевые точки клиентов — Сотрудничать с командами продукта, операций и инженерии для предоставления обратной связи и улучшения клиентского опыта Требования: — Опыт работы в поддержке клиентов не менее 1 года в условиях большого объема, например, в контакт-центре, SaaS-платформе или стартапе — Исключительные устные и письменные коммуникативные навыки, сильное активное слушание и понимание прочитанного — Умение решать проблемы с программным и аппаратным обеспечением, используя различные платформы и инструменты — Высокая способность к многозадачности и работе с несколькими системами одновременно без потери точности — Демонстрация устойчивости, самоуправления и стремления к постоянному обучению и улучшению — Менталитет "А-игрока" с сильной склонностью к действию: повышаете стандарты, действуете быстро, сохраняете устойчивость в условиях неопределенности и берете ответственность за достижение значимых результатов Условия: — Быстрая и совместная рабочая среда — Пособие на обучение и развитие — Конкурентная денежная и долевая компенсация, а также возможности для карьерного роста — 100% покрытие медицинских, стоматологических и офтальмологических расходов — Возмещение до $25,000 за услуги по планированию фертильности, усыновления и родительского планирования — Гибкая политика отпусков — Ежемесячный стимул для поддержания здоровья — Офисные хабы с ожиданием работы из офиса 3+ дней в неделю и офисными привилегиями — Возможна помощь с релокацией для желающих переехать в офис Checkr

Location: Dubai, United Arab Emirates We are seeking a detail-oriented Quantity Surveyor to join our team. Key Responsibilities Prepare cost estimates, budgets, and Bills of Quantities (BOQs). Review drawings, specifications, and tender documents. Analyze project costs and monitor budgets throughout project execution. Prepare tender documentation and assist in the procurement process. Measure completed work and prepare interim valuations and final accounts. Assess and manage project variations, change orders, and claims. Coordinate with project managers, engineers, designers, contractors, and clients to ensure effective cost control. Ensure compliance with contractual obligations, project specifications, and local regulations. Requirements Bachelor's degree in Quantity Surveying, Civil Engineering, Construction Management, or a related field. 3+ years of experience as a Quantity Surveyor within the UAE. Strong knowledge of construction contracts, cost estimation, and project budgeting. Experience preparing BOQs, tender documentation, and cost reports. Strong analytical, numerical, and negotiation skills. Excellent attention to detail and organizational abilities. Ability to manage multiple projects simultaneously and meet deadlines. Fluency in English is required. Benefits Competitive salary; Official UAE employment status; Comprehensive medical insurance coverage; Working schedule 6 days per week from Monday to Saturday and Sunday is off.

Location: Buenos Aires Workplace: OnSite ABOUT HALTER At Halter, we’re on a mission to enable farmers and graziers to run the most productive and sustainable operations. Our customers are using Halter to break free from the time-intensive constraints of conventional practices. Imagine watching 500 cattle stand up and walk calmly towards their next break? No quad bikes, no dogs, no fences. Just a group of cattle walking at their own pace. People say it looks like magic. Our customers are revolutionizing grazing with Halter. It's changing lives and transforming an industry. People join Halter to do meaningful work. By joining us you’ll be solving challenging problems within a talented team and a culture built for high performance. Our team out-think, out-work and out-care. We’re committed to delivering real change in the world - this isn’t easy, and in truth, we love that it’s hard. We’re backed to deliver on a mission that matters by Tier 1 investors including Founders Fund https://foundersfund.com, Bessemer Venture Partners https://www.bvp.com/, BOND, https://www.bondcap.com/ DCVC https://www.dcvc.com/, Blackbird https://www.blackbird.vc/, Promus Ventures https://www.promusventures.com/, Rocket Lab’s Peter Beck and Icehouse ventures https://www.icehouseventures.co.nz/?utm_term=icehouse%20ventures&utm_campaign=Brand+Keywords&utm_source=adwords&utm_medium=ppc&hsa_acc=4064636360&hsa_cam=16902737884&hsa_grp=134004309485&hsa_ad=592971340272&hsa_src=g&hsa_tgt=kwd-1082530126230&hsa_kw=icehouse%20ventures&hsa_mt=b&hsa_net=adwords&hsa_ver=3&gclid=Cj0KCQjw2v-gBhC1ARIsAOQdKY0J0DepRVFDmjQlAkJPbZuQnLSA5UVzUzOXYiPxkjX-SeVa513_BhkaAr-MEALw_wcB. To find out more, visit our LinkedIn https://www.linkedin.com/company/halter-limited & Instagram https://www.instagram.com/lifeathalter/. ABOUT THE ROLE We’re looking for a motivated, hands-on Fleet Ops Specialist to join our team as one of our first hires on the ground in South America. When we say Fleet, we mean the hardware - collars and towers that are what makes us HalterThis is a rare opportunity to be part of something genuinely new, getting Halter up and running in a region with enormous potential for cattle producers. You’ll be responsible for building an efficient operational system from the ground up, getting out onto farms, and making sure our hardware infrastructure runs without a hitch. One moment you’re diagnosing a technical issue in the paddock, the next you’re delivering collars to a new producer. You’ll be the go-to person on the ground, the kind of person who takes ownership and gets things done. South America is a critical and exciting market for us. You’ll help us understand the unique nuances of cattle production in the region and feed those learnings back to our product and engineering teams in Auckland. What you learn in the field will directly shape what we build next. You’ll work closely with dedicated teams in South America, the United States, and at Halter’s Auckland HQ. You’ll play a key role in making sure our pioneering producers in the region get an unmatched experience from day one. WHAT YOUR DAY COULD LOOK LIKE - Infrastructure maintenance: Oversee the upkeep and repair of Halter’s on-farm infrastructure to keep operations running smoothly. - Hardware diagnosis: Diagnose issues with our hardware and feed that information back to the right team quickly. - Deployment support: Get out onto farms to help deploy Halter with our first South American customers. Troubleshoot issues, support installations, and make sure things go well. - Field insights: Feed your learnings back clearly to our product and engineering teams, so we’re always building what matters most for South American cattle producers. - On-call: Be part of our global on-call roster to support tower-related incidents and proactively find solutions in a timely manner. - Data analysis: Collect, interpret, and analyse data from our hardware to optimise processes and improve operational efficiency. Spot issues before they become problems. - Maintenance system: Help build and manage a maintenance system tailored to the South American market. - Collaboration: Work closely across Halter’s teams to stay aligned and drive strong customer outcomes. - Travel: With producers spread across South America, you’ll be on the road regularly. Expect 3 to 4 days a week and some nights away from home. - Whatever else it takes: This is an early-stage market entry. You’ll do what needs doing to make Halter succeed in South America. WHO ARE WE LOOKING FOR - Hands-on experience: Practical experience with tools, electrical work, construction, networking, or equipment fitting is a must. - South American cattle production experience: You know the land, the animals, and the way producers in this region operate. This is a must-have. - Go-getter attitude: You’re proactive, you take ownership, and you’re not afraid to figure things out on the go. - Strong communicator: You can translate what you’re seeing in the field into clear, actionable feedback for a remote product and engineering team. - Time management: You manage your own time well and get tasks done on schedule without someone looking over your shoulder. - Team player: You work well with people across different locations and time zones. - Comfortable with ambiguity: This is early-stage market entry. Things will be imperfect. You’ll thrive on that rather than be frustrated by it. - Commitment to excellence: You take pride in delivering the best possible service and making sure Halter’s infrastructure is always at its best. - Willingness to travel: You’re up for regular and sometimes spontaneous travel across the region. - Language: Spanish + English fluency is required. English proficiency is a requirement for this role. The recruitment process will include interviews conducted in English, and a significant part of the day-to-day work will also be conducted in English. Candidates should feel comfortable communicating, participating in professional conversations, and working effectively in English. If you are not comfortable having professional conversations in English, this role may not be the right fit for you. BONUS QUALIFICATIONS: - Broader agriculture or agri-tech experience beyond cattle production. OUR BENEFITS: - Importantly, we offer an inclusive and attractive remuneration package made up of salary, benefits and restricted stock units, so you own a part of what we’re building. - Healthy body, healthy mind. You’ll be on the OSDE 410 plan, fully paid by Halter with dependents included, giving you comprehensive maternity cover, dental and vision, and complementary therapies like acupuncture. - Mental health matters. You’ll have access to up to 30 sessions per year of individual or group therapy, plus up to 15 sessions per family group for bonding therapy. - Our personal growth is important. Halter offers an annual US$750 personal growth fund to be used for anything that fuels personal growth. - We offer 26 weeks of paid parental leave for primary caregivers, 4 weeks of paid leave for the other parent, and flexible return-to-work options. JOIN OUR TEAM Halter is committed to promoting a diverse and inclusive workplace — a place where we can each be ourselves and do the best work of our lives. Research shows that while men apply to jobs when they meet an average of 60% of the requirements, women and under-represented groups of candidates tend to only apply when they meet every requirement. If you think you have what it takes but don’t necessarily tick every requirement on this job description, please still get in touch and apply to Halter. We’d love to chat to see if you’ll be an epic fit! If this opportunity sounds like you, please apply below by sending through your cover letter explaining why you’re excited about this role and working at Halter, along with your CV, and we’ll be in touch! Please also feel free to check out the careers page https://www.halterhq.com/careers for more information on working at Halter and don't forget to follow us on LinkedIn https://www.linkedin.com/company/halter-limited & Instagram https://www.instagram.com/lifeathalter/. WHY OUR TEAM LOVES WORKING AT HALTER: - Work that genuinely matters. Every now and again a company comes along that transforms an entire industry and leaves the world in a better place. Our team gets to be part of something truly meaningful, helping farmers improve their livelihoods, spend more time with their families, and build more sustainable operations. - Spectacular people solving hard problems. Our culture is designed for talented people to do work that changes lives. The team is filled with diverse, kind, and driven people who push each other to do their best work. You'll be thrown into the deep end, tackling complex challenges and building something tangible that solves real problems. - You'll grow here. Autonomy, mastery, and learning define how we work. You'll have the freedom to work on interesting problems, master new skills, and continuously develop yourself, both through your role and our personal growth fund. - This isn't easy, and we love that it's hard. Working at Halter will be the most rewarding and the most challenging work of your life. We move fast, take bold bets, and work hard to reshape an entire industry. As one team member put it: "Joining Halter is a bit like strapping yourself to a rocket ship, but it's an epic journey to be a part of!"