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Location: Warszawa, Poland; Almaty, Kazakhstan; Prague, Czechia; Tallinn, Estonia; Tbilisi, Georgia; Budapest, Hungary; Rīga, Latvia; Vilnius, Lithuania; Lisboa, Portugal; Bucharest, Romania; Madrid, Spain Workplace: fully Customer Description: The customer is a global mobility and urban services platform providing transportation and other on-demand services through a digital marketplace. Project Description: The work spans deep learning model development, large-scale geospatial data pipelines, and low-latency production serving. The candidate will measure the impact through offline evaluation metrics and the results of online experiments Project Phase: ongoing Soft Skills: • Ability to influence teammates and cross-functional stakeholders effectively. • Curious and improvement-oriented mindset with a willingness to challenge existing approaches. • Excellent ability to communicate complex technical findings in a clear and concise manner. Hard Skills / Must Have: • 5+ years of machine learning engineering experience building and deploying deep learning models in production. • Experience building regression, forecasting, or other supervised machine learning systems for production prediction tasks. • Expert-level proficiency in Python and its core data science libraries (e.g., PySpark, Pandas, NumPy, Scikit-learn, PyTorch; gradient-boosting libraries such as CatBoost/XGBoost/LightGBM). • SQL. • Ability to design an ML system from scratch, including data analysis and processing. • Experience translating business goals into ML problems with appropriate metrics and non-functional requirements. • Experience designing and evaluating ML experiments. • Experience with MLOps tools. • Experience working with large-scale geospatial and behavioral datasets. • Experience deploying models to production on ML serving infrastructure and optimizing for latency, and awareness of concept drift and how to detect and manage it. • Comfort working with large-scale geospatial and behavioral data (e.g., GPS traces, H3 spatial indexing) Hard Skills / Nice to Have (Optional): • Academic background in Computer Science, Mathematics, or a related discipline. • Experience with travel time prediction, traffic estimation, or routing quality. • Experience with open-source routing engines. • Knowledge of map matching, speed profiles, road graph tiles, and historical traffic. • Experience with mapping, location, or geospatial products. • Experience building products for developing markets. • Experience with cloud data and machine learning platforms. Responsibilities and Tasks: • Design and build machine learning models to improve routing and travel time prediction. • Develop traffic estimation models using large-scale GPS data. • Implement map-matching solutions for noisy GPS data. • Improve travel time calculation, smoothing, and rerouting logic. • Translate routing objectives into machine learning objectives and evaluation metrics. • Lead offline and online model evaluation activities. • Collaborate with backend engineers to deploy low-latency production models. • Partner with product and operations teams to define new features and requirements. • Own the production ML lifecycle, including serving, monitoring, drift detection, and retraining pipelines. 🧪 Technology Stack: }Python, SQL, PySpark, Pandas, NumPy, Scikit-learn, PyTorch, XGBoost, LightGBM, CatBoost, MLOps, ML Lifecycle Management, Production ML Systems, ML Infrastructure, Geospatial Analytics, GPS Data, H3 Spatial Indexing 📝 Additional notes: The work will be carried out either on client's equipment or via a virtual workstation. Requires fluent Russian , as part of the team communication is conducted in Russian

Location: Serbia Job Title: AI/ML Engineer Department: IT Services /IT Infrastructure Reports To: IT Project Manager Job Overview: The AI/ML Engineer plays a critical role in designing, developing, and deploying machine learning models and AI-driven solutions to support strategic business initiatives. The role involves collaborating with cross-functional teams, including software engineering, data analytics, product development, and business stakeholders, to drive intelligent automation, data-driven decision-making, and advanced analytics capabilities. The ideal candidate will have 3 to 5 years of experience in AI/ML model development, with a strong foundation in machine learning algorithms, data preprocessing, and deployment pipelines. Experience with Python, TensorFlow/PyTorch, and cloud-based ML services is essential. Responsibilities: 1. Model Development and Optimization Design, build, and deploy ML models for classification, regression, NLP, computer vision, or time-series forecasting. Select appropriate algorithms and techniques based on business needs and data characteristics. Continuously monitor and improve model performance using metrics and feedback loops. 2. Data Preparation and Feature Engineering Clean, preprocess, and transform structured and unstructured datasets for training and inference. Engineer and select relevant features to improve model accuracy and generalizability. Collaborate with data engineers to ensure data quality and accessibility. 3. Model Deployment and MLOps Package and deploy models using tools like Docker, Flask/FastAPI, and Kubernetes. Implement CI/CD pipelines for ML using platforms like MLflow, Airflow, or Kubeflow. Monitor deployed models for drift, latency, and performance in production environments. 4. AI Solutions and Use Case Implementation Work with business stakeholders to translate real-world problems into AI/ML use cases. Prototype and test AI-driven solutions (e.g., recommendation engines, chatbots, fraud detection). Contribute to proof-of-concept projects and assist in scaling successful models to production. 5. Research and Innovation Stay updated with the latest research, frameworks, and tools in machine learning and AI. Experiment with cutting-edge models (e.g., LLMs, transformers, generative AI) and assess their viability. Promote innovation by recommending and implementing modern AI strategies. 6. Cross-functional Collaboration Collaborate with software developers, DevOps, data analysts, and domain experts for end-to-end solution delivery. Translate technical insights into business value through clear documentation and presentations. 7. Documentation and Best Practices Maintain comprehensive documentation for models, experiments, and pipelines. Ensure reproducibility, scalability, and compliance with data governance policies. Requirements: Experience: 3–5 years of hands-on experience in machine learning model development and deployment. Proven track record of solving real-world problems using supervised, unsupervised, or deep learning methods. Technical Skills: Strong knowledge of: Python and ML libraries (scikit-learn, pandas, NumPy, TensorFlow/PyTorch) Model evaluation, hyperparameter tuning, and pipeline automation REST APIs for model serving and integration Familiarity with: MLOps tools (MLflow, Airflow, DVC, Docker, Kubernetes) Cloud ML services (AWS SageMaker, Azure ML, GCP AI Platform) NLP or computer vision frameworks (e.g., Hugging Face, OpenCV) Soft Skills: Strong analytical and problem-solving abilities. Excellent communication skills, both verbal and written. Ability to work independently and within cross-functional teams. Curiosity, adaptability, and willingness to learn continuously.

Location: Romania Job Title: AI/ML Engineer Department: IT Services Reports To: IT Project Manager Job Overview: The AI/ML Engineer plays a critical role in designing, developing, and deploying machine learning models and AI-driven solutions to support strategic business initiatives. The role involves collaborating with cross-functional teams, including software engineering, data analytics, product development, and business stakeholders, to drive intelligent automation, data-driven decision-making, and advanced analytics capabilities. The ideal candidate will have 3 to 5 years of experience in AI/ML model development, with a strong foundation in machine learning algorithms, data preprocessing, and deployment pipelines. Experience with Python, TensorFlow/PyTorch, and cloud-based ML services is essential. Responsibilities: 1. Model Development and Optimization Design, build, and deploy ML models for classification, regression, NLP, computer vision, or time-series forecasting. Select appropriate algorithms and techniques based on business needs and data characteristics. Continuously monitor and improve model performance using metrics and feedback loops. 2. Data Preparation and Feature Engineering Clean, preprocess, and transform structured and unstructured datasets for training and inference. Engineer and select relevant features to improve model accuracy and generalizability. Collaborate with data engineers to ensure data quality and accessibility. 3. Model Deployment and MLOps Package and deploy models using tools like Docker, Flask/FastAPI, and Kubernetes. Implement CI/CD pipelines for ML using platforms like MLflow, Airflow, or Kubeflow. Monitor deployed models for drift, latency, and performance in production environments. 4. AI Solutions and Use Case Implementation Work with business stakeholders to translate real-world problems into AI/ML use cases. Prototype and test AI-driven solutions (e.g., recommendation engines, chatbots, fraud detection). Contribute to proof-of-concept projects and assist in scaling successful models to production. 5. Research and Innovation Stay updated with the latest research, frameworks, and tools in machine learning and AI. Experiment with cutting-edge models (e.g., LLMs, transformers, generative AI) and assess their viability. Promote innovation by recommending and implementing modern AI strategies. 6. Cross-functional Collaboration Collaborate with software developers, DevOps, data analysts, and domain experts for end-to-end solution delivery. Translate technical insights into business value through clear documentation and presentations. 7. Documentation and Best Practices Maintain comprehensive documentation for models, experiments, and pipelines. Ensure reproducibility, scalability, and compliance with data governance policies. Requirements: Experience: 3–5 years of hands-on experience in machine learning model development and deployment. Proven track record of solving real-world problems using supervised, unsupervised, or deep learning methods. Technical Skills: Strong knowledge of: Python and ML libraries (scikit-learn, pandas, NumPy, TensorFlow/PyTorch) Model evaluation, hyperparameter tuning, and pipeline automation REST APIs for model serving and integration Familiarity with: MLOps tools (MLflow, Airflow, DVC, Docker, Kubernetes) Cloud ML services (AWS SageMaker, Azure ML, GCP AI Platform) NLP or computer vision frameworks (e.g., Hugging Face, OpenCV) Soft Skills: Strong analytical and problem-solving abilities. Excellent communication skills, both verbal and written. Ability to work independently and within cross-functional teams. Curiosity, adaptability, and willingness to learn continuously.

Location: India Job Title: AI/ML Engineer Department: IT Services Reports To: IT Project Manager Job Overview: The AI/ML Engineer plays a critical role in designing, developing, and deploying machine learning models and AI-driven solutions to support strategic business initiatives. The role involves collaborating with cross-functional teams, including software engineering, data analytics, product development, and business stakeholders, to drive intelligent automation, data-driven decision-making, and advanced analytics capabilities. The ideal candidate will have 3 to 5 years of experience in AI/ML model development, with a strong foundation in machine learning algorithms, data preprocessing, and deployment pipelines. Experience with Python, TensorFlow/PyTorch, and cloud-based ML services is essential. Responsibilities: 1. Model Development and Optimization Design, build, and deploy ML models for classification, regression, NLP, computer vision, or time-series forecasting. Select appropriate algorithms and techniques based on business needs and data characteristics. Continuously monitor and improve model performance using metrics and feedback loops. 2. Data Preparation and Feature Engineering Clean, preprocess, and transform structured and unstructured datasets for training and inference. Engineer and select relevant features to improve model accuracy and generalizability. Collaborate with data engineers to ensure data quality and accessibility. 3. Model Deployment and MLOps Package and deploy models using tools like Docker, Flask/FastAPI, and Kubernetes. Implement CI/CD pipelines for ML using platforms like MLflow, Airflow, or Kubeflow. Monitor deployed models for drift, latency, and performance in production environments. 4. AI Solutions and Use Case Implementation Work with business stakeholders to translate real-world problems into AI/ML use cases. Prototype and test AI-driven solutions (e.g., recommendation engines, chatbots, fraud detection). Contribute to proof-of-concept projects and assist in scaling successful models to production. 5. Research and Innovation Stay updated with the latest research, frameworks, and tools in machine learning and AI. Experiment with cutting-edge models (e.g., LLMs, transformers, generative AI) and assess their viability. Promote innovation by recommending and implementing modern AI strategies. 6. Cross-functional Collaboration Collaborate with software developers, DevOps, data analysts, and domain experts for end-to-end solution delivery. Translate technical insights into business value through clear documentation and presentations. 7. Documentation and Best Practices Maintain comprehensive documentation for models, experiments, and pipelines. Ensure reproducibility, scalability, and compliance with data governance policies. Requirements: Experience: 3–5 years of hands-on experience in machine learning model development and deployment. Proven track record of solving real-world problems using supervised, unsupervised, or deep learning methods. Technical Skills: Strong knowledge of: Python and ML libraries (scikit-learn, pandas, NumPy, TensorFlow/PyTorch) Model evaluation, hyperparameter tuning, and pipeline automation REST APIs for model serving and integration Familiarity with: MLOps tools (MLflow, Airflow, DVC, Docker, Kubernetes) Cloud ML services (AWS SageMaker, Azure ML, GCP AI Platform) NLP or computer vision frameworks (e.g., Hugging Face, OpenCV) Soft Skills: Strong analytical and problem-solving abilities. Excellent communication skills, both verbal and written. Ability to work independently and within cross-functional teams. Curiosity, adaptability, and willingness to learn continuously.

Location: San Francisco Bay Area, USA Workplace: Hybrid WHY WORK AT HIGGSFIELD AI? Higgsfield AI is the fastest-scaling generative AI company in history, hitting $1B in annual revenue run rate, 30M+ users worldwide, 6M+ generations per day, and powering 390 of Fortune 500 brands.   We're building at the absolute frontier of AI-powered video creation and next-generation creative tools. Joining Higgsfield means becoming part of a high-impact team shaping the future of AI-native experiences, at a company that isn't just moving fast, but rewriting what fast looks like. ABOUT THE ROLE We're looking for exceptional Machine Learning Engineers focused on Ads to help take Higgsfield's advertising platform to the next level. You'll work at the intersection of large-scale machine learning, generative AI, and advertising systems—building the models and infrastructure that determine how creative is generated, ranked, optimized, and ultimately performs. This role is for someone who understands ads systems deeply and is equally strong in modern generative AI. You should be comfortable moving across ranking and recommendation, targeting and optimization, prompt engineering, post-training, and production ML systems. You'll help define what an AI-native advertising platform looks like from the ground up. WHAT YOU'LL DO: - Build and improve ML systems powering advertising products, including ranking, recommendation, targeting, prediction, and optimization. - Develop models that improve ad creative quality, relevance, personalization, and performance at scale. - Build systems that connect generative models with real-world advertising performance signals, creating feedback loops that continuously improve model outputs. - Apply prompt engineering and post-training techniques to improve generative models for advertising and creative use cases. - Work on fine-tuning, preference optimization, evaluation, and other techniques for adapting foundation models to specific creative and advertising objectives. - Design and run experiments across creative generation, ranking, targeting, and delivery to understand what drives advertiser performance. - Build production ML systems that operate reliably at significant scale, from experimentation through inference and serving. - Work closely with Product, Research, Engineering, and GTM teams to turn advances in generative AI into products advertisers can use. REQUIREMENTS - Deep experience building machine learning systems for advertising. - Strong understanding of ads systems, including areas such as ranking, recommendation, targeting, bidding, conversion prediction, creative optimization, or measurement. - Hands-on experience with LLMs, multimodal models, or generative AI systems. - Strong experience with prompt engineering and model evaluation. - Experience with post-training, including techniques such as supervised fine-tuning, preference optimization, reinforcement learning, or related approaches. - Strong software engineering fundamentals and experience shipping production ML systems. - Ability to operate across research and engineering: you can experiment quickly, identify what works, and turn it into a scalable production system. - High agency. - Working English. NICE TO HAVE - Experience building ads, ranking, or recommendation systems at a major consumer, social, search, or advertising platform. - Experience with generative video, image, or multimodal models. - Experience using downstream signals such as CTR, CVR, ROAS, engagement, or retention to train or optimize ML systems. - Experience with large-scale model training, inference optimization, or distributed ML infrastructure. - Experience building AI systems that generate or optimize advertising creative. COMPENSATION & BENEFITS • We offer a competitive and thoughtfully structured compensation package designed to align with impact, experience, and long-term growth. • Base Salary: The anticipated salary range for this role is $165 - $230k, depending on experience, skills, scope, and location. • Equity: In addition to cash compensation, employees are eligible to participate in the company’s stock option program and share in Higgsfield’s long-term growth. • • Benefits: We offer a comprehensive benefits package designed to support employees professionally and personally • The opportunity to work on ambitious AI products alongside a highly experienced, fast-moving, and international team. • Significant ownership, direct impact, and opportunities for professional growth as the company scales.   This is a hybrid role based in the San Francisco Bay Area. Team members are expected to work from our San Francisco office three full days per week, with the remaining days worked remotely and are expected to be available during agreed working hours and to maintain sufficient overlap with the relevant team’s time zone. We value in-person collaboration, active communication, responsiveness, and close partnership across teams. Higgsfield AI is an equal opportunity employer. We are committed to building a diverse and inclusive team and do not discriminate on the basis of race, color, religion, sex, gender identity or expression, sexual

Location: IND - Pune About Monster Energy: Forget about blending in. That's not our style. We're the risk takers, the trailblazers, the gamechangers. We're not perfect and we don't pretend to be. We're raw, unfiltered, and a bit unconventional. Our drive is just like our athletes, unrivaled. The power is in your hands to define what success looks like and where you want to take your career. It's not just about what we do, but about who we become on along the way. We are much more than a brand here. We are a way of life, a mindset. Join us. A Day in the Life: Ready to own the floor? As a Warehouse Supervisor, you'll be the driving force behind our warehouse operations, leading a team to keep products moving seamlessly from receiving to shipping. You'll oversee inventory management, order fulfillment, loading and unloading activities, and warehouse organization, ensuring every shift runs safely, efficiently, and with the relentless pace that powers Monster Energy. The Impact You'll Make: Assist with design and implementation of work methods and operational procedures for activities, such as verification of incoming and outgoing shipments, handling and disposition of materials, and keeping warehouse inventory current. Review shipping or receiving orders and requests for movement of materials and products. Manage inventory accuracy through monitoring daily warehouse activities, cycle counts, stock takes and audits to verify results. Develop work schedules and assigns work to subordinates. Supervise staff, manage workload and provide effective guidance and direction. May train, evaluate employee performance, and recommend or initiate promotions, transfers, and disciplinary action. Review work processes, recommend measures to improve production methods, equipment performance, and quality of product or service, and suggest changes in working conditions to increase efficiency. Provide leadership support by establishing clear expectations and demonstrating high standards of work practices and safety conscious behavior. Communicate with other shift supervisor and warehouse manager regarding the progress of the shift and any outstanding issues. Keeps accurate records, and prepares and submits required paperwork. Who You Are: Prefer a Bachelor's Degree in the field of -- Business Administration, or related field of study. Between 3-5 years of experience in Warehouse supervisor role. Experience in logistics operations would be an added advantage. Candidates with knowledge of WMS (Warehouse Management Systems), OHSAS, and 5S would be preferred. Read our privacy policy here: Privacy Policy

Location: India Job Title: Accounting Manager Location: Remote (LATAM or INDIA) Employment Type: Full-Time Job Summary: We are looking for an experienced and client-focused Accounting Manager to join our team. The Accounting Manager will be responsible for maintaining strong client relationships, managing portfolio of accounts, and ensuring accurate and timely financial operations. This role requires strong leadership, analytical skills, and a proactive approach to driving account performance and revenue growth. Key Responsibilities: Client Relationship Management Build and maintain long-term relationships with clients through consistent communication and support. Serve as the primary point of contact for all client-related concerns, escalations, and conflict resolution. Ensure client satisfaction by delivering timely and effective solutions. Sales and Financial Oversight Oversee the sales process, including contract renewals, invoicing, and billing accuracy. Review and approve account transactions to ensure compliance with company policies and financial standards. Monitor account performance to identify trends and areas for improvement. Team Supervision and Coordination Collaborate with the internal operations team to supervise staff assigned to accounts under your management. Provide guidance and support to ensure team members meet or exceed performance targets. Facilitate communication between clients and internal departments to maintain smooth account operations. Growth and Revenue Generation Identify new sales opportunities within existing accounts to drive revenue growth. Develop strategies for account expansion and retention. Reporting and Analysis Prepare and present regular account performance reports and financial updates to senior management. Analyze account metrics and sales performance, recommending improvements as needed. Qualifications: Bachelor’s degree in Accounting, Finance, Business Administration, or a related field. Proven experience in account management, client servicing, or financial oversight. Strong leadership and interpersonal skills. Excellent communication, conflict resolution, and problem-solving abilities. High attention to detail and accuracy in financial processes. Proficiency in accounting software and Microsoft Office tools. Join Us: Become a part of our dynamic team! If you are a strong English communicator with a positive attitude, optimism, and energy, and you’re eager to make a significant impact in a growing company, we would love to hear from you. At H!KINEX, we offer not just a job, but a career path where your contributions are valued, your ideas are heard, and your growth is supported. Enjoy the flexibility of remote work, the challenge of a rewarding role, and the opportunity to work alongside industry leaders in a collaborative and innovative environment. Join us, and let's achieve success together!

Location: Seoul, South Korea About Our Client Our client is a privately owned, profitable global software company specializing in IT performance management solutions. Its platform helps organizations monitor, manage, and optimize the performance of their applications, cloud environments, and IT infrastructure from a single platform. Headquartered in Singapore, the company has a global presence supported by international R&D teams and an established network of partners, including global system integrators, consultants, distributors, and resellers. The business has a strong track record of profitable growth and serves enterprise customers across major markets worldwide. About The Role Our client is looking for a Sales Director to lead enterprise sales growth in South Korea . This is an outside sales role with significant ownership of the Korean market. The successful candidate will be responsible for generating and developing new business opportunities, managing the full sales cycle, and building strong relationships with enterprise customers and channel partners. The role requires someone who is comfortable working independently, combining marketing-generated leads with proactive business development, networking, and self-generated opportunities . Key Responsibilities Drive new business development across the South Korean market, with a focus on enterprise customers. Identify, qualify, and develop opportunities for IT performance management solutions. Manage the full sales cycle , from prospecting and discovery through negotiation and deal closure. Build and maintain a strong pipeline of qualified opportunities to consistently meet or exceed sales targets. Generate opportunities through a combination of inbound leads, networking, cold outreach, existing relationships, and market research. Understand customer environments and business challenges and position relevant solutions accordingly. Deliver compelling product presentations and value propositions to prospective customers. Manage objections and navigate complex B2B sales cycles through to successful closure. Work closely with partners, consultants, distributors, and resellers to identify and develop new opportunities. Maintain accurate pipeline, opportunity, and customer information in Salesforce CRM . Conduct ongoing account and market research to identify target organizations and potential opportunities. Maintain accurate sales forecasting and provide visibility into pipeline development and competitive activity. Develop strong product knowledge and stay informed on customer needs, market trends, and competitive dynamics. Requirements 10+ years of experience in enterprise software sales , ideally selling IT infrastructure, monitoring, virtualization, or related technology solutions. Proven track record of consistently meeting or exceeding sales targets . Strong experience managing complex B2B enterprise sales cycles , from prospecting through closing. Experience across areas such as Application Performance Management (APM), IT monitoring, IT analytics, IT Service Management, enterprise applications, or infrastructure software . Experience selling into enterprise organizations and/or service providers. SAP-related sales experience is a plus. Strong prospecting and new business development capabilities, with a demonstrated hunter mentality . Excellent consultative selling, presentation, negotiation, and stakeholder management skills. Ability to understand complex customer environments and translate business challenges into relevant technology solutions. Highly independent and self-motivated, with the ability to operate effectively with limited supervision. Comfortable working in a fast-paced environment with a high degree of ownership and autonomy. Strong communication, organization, prioritization, and time management skills. Experience using Salesforce or similar CRM platforms . Comfortable conducting both virtual and face-to-face meetings with customers. Bachelor's degree or equivalent experience.

Location: Canada; United States Tasks summary: Architecture Concept & Requirements • Translate mission‑level requirements into C&DH functional and non‑functional specifications. • Produce System Requirements, Interface Control (ICDs), and Description documents. • Perform requirement management and maintain bidirectional traceability throughout the project lifecycle. • Collaborate with cyber-security to embed resilience and security by design, ECU. Design & Development • Lead detailed design of on‑board processors, data‑buses (SpaceWire, MIL‑1553, CAN, Ethernet), memory subsystems, and I/O interfaces. • Support software architecture: command sequencing, telemetry packetization, health‑monitoring, services, fault‑detection‑isolation‑recovery (FDIR). • Support Satellite Reference Database development and validation Cross‑Functional Coordination, Stakeholder & Program Interaction • Communicate technical status, risk assessments and trade‑study results to senior management and/or customers or partners. • Work with FSW teams to define RTOS, APIs, task scheduling, real‑time operating system configuration, services usage. • Define uplink command formatting, downlink telemetry packet structures, and ground‑segment data‑handling interfaces (mission‑control servers, data‑archiving pipelines). • Coordinate with the TT&C/PDT engineering and Ground Segment ICDs to ensure end‑to‑end data integrity. • Support B&P (Phase 0 & pre-phase A). Integration & Verification (IVV) • Develop verification plans, test matrices, and validation procedures for unit, subsystem, and spacecraft level C&DH tests. • Execute functional tests, bus‑protocol compliance, SIL and HIL campaigns. • Manage anomaly investigations, root‑cause analysis, and corrective‑action implementation. Technical Leadership & Mentorship • Mentor, guide junior engineers and interns. • Act as technical liaison with customers, partners and external vendors • Act as Continuous Improvement stakeholder Configuration, Documentation & Standards Management • Author and maintain C&DH standards (bus protocols, data‑format conventions, redundancy policies). • Ensure all artefacts, analysis and documentations are version controlled in PLM environment. • Support design reviews (SRR, PDR, CDR, MRR/TRR…etc.). • Support Technology Road‑Mapping & Innovation On‑Orbit & Operations Support • Support launch‑pre‑launch and early‑orbit checkout, validate satellite functions, HK and nominal operation • Support and analyse on‑orbit telemetry, update filter parameters as needed. • Support SOOH development and associated operator trainings Required Qualifications: • B.Sc. in Electrical Engineering, Aerospace or related field with 8+ years of C&DH engineering experience on LEO/MEO/GEO platforms. • Deep knowledge of spacecraft data-bus standards: SpaceWire, MIL-1553, CAN-A, Ethernet, CCSDS packet telemetry/command and PUS services. • Knowledge in processor, FPGA, firmware and embedded • Strong understanding of aerospace system engineering fundamentals, space environment and orbit mechanics. • Hands-on individual who can support systems integration processes and capability to test systems and resolve problems. • Experience with Confluence and JIRA. • Demonstrated capability to efficiently work with little supervision. • Ability to distill complex problems to fundamentals to solve with analysis, similarity, or creativity. • Demonstrate excellent written and oral communication skills in English; knowledge of French will be considered an asset (Contact with clients outside Quebec and work on deliverables in English).

Location: Newburyport, MA Psychologist Location: Newburyport, MA Schedule: Part-Time Compensation: $90,000- $120,000 About Infinite Medical P.C. Infinite Medical P.C. is a nationwide network of advanced practice providers and specialty clinicians committed to delivering high-quality, proactive care directly to residents in skilled nursing and long-term care facilities. Our partnership with MedElite Healthcare Management Group empowers us to focus on what matters most: providing compassionate, personalized care that meets the unique needs of each resident. Together, we champion continuous innovation and collaboration in our shared mission to redefine senior care across the country. Job Summary We are seeking a skilled and compassionate Licensed Psychologist (PhD or PsyD) to join our growing team. The ideal candidate is passionate about serving diverse populations, values collaborative care, and is eager to make a meaningful impact in an urban community setting. This position offers flexibility, professional growth opportunities, and a supportive environment where clinicians can thrive. Responsibilities Conduct comprehensive psychological evaluations, including diagnostic interviews and standardized testing (e.g., personality, IQ, behavioral) Develop and implement individualized treatment plans using evidence-based interventions (e.g., CBT, DBT, trauma-informed care) Provide psychotherapy to residents primarily in skilled nursing and long-term care settings, with opportunities for outpatient or community-based work if desired Collaborate with interdisciplinary teams (psychiatrists, social workers, nurses, educators) to ensure holistic care Provide psychoeducation to clients and families, promoting mental health awareness and resilience Maintain accurate, timely, and confidential documentation in compliance with state and federal regulations Participate in team meetings, case conferences, and ongoing professional development Requirements Doctoral degree in Clinical, Counseling, or School Psychology (PhD or PsyD) from an APA-accredited program Current Massachusetts State Psychologist License Minimum of 1–2 years of supervised clinical experience; postdoctoral experience preferred Demonstrated ability to work effectively with culturally and linguistically diverse populations Strong interpersonal, communication, and organizational skills Prolonged sitting. Computer work including keyboard and mouse use for extended periods. Lifting/moving patients. Benefits Competitive salary: $90,000- $120,000 Malpractice Paid Time Off Why Work With Us? Make a meaningful impact on the lives of seniors Work in a collaborative, mission-driven environment Enjoy work-life balance Equal Opportunity Employer Infinite Medical P.C is an equal-opportunity employer. We acknowledge and honor the fundamental value and dignity of all individuals. We pledge ourselves to crafting and maintaining an environment that respects diverse traditions, heritages, and experiences. Infinite Medical P.C is an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. The above-noted job description is not intended to describe, in detail, the multitude of tasks that may be assigned but rather to give the applicant a general sense of the responsibilities and expectations of this position. As the nature of business demands change so, too, may the essential functions of the position. Ready to Make a Difference? Apply today and help us deliver compassionate, personalized care where it matters most. #INDL

Location: Buxton Workplace: OnSite MAKE A DIFFERENCE FOR ONE CHILD - WE’LL TRAIN YOU Tellos is hiring a part-time Behavior Technician in Buxton, NC to work one-on-one with a child with autism. No RBT certification is required - we provide and pay for the training needed to become certified. This is an excellent fit for a teacher, teaching assistant, childcare professional, CNA, coach or caregiver who is patient, dependable and naturally connects with children. THE OPPORTUNITY - Pay: $22–$28/hour, based on certification and relevant experience - Schedule: Monday - Friday 3-6pm - Weekly hours: Approximately 15 hours/week - Location: In-home services in Buxton - Start date: ASAP - Employment: Part-time W-2 position WHAT YOU’LL DO - Help one child strengthen communication, daily-living and social skills - Deliver structured, play-based one-on-one support - Follow a treatment plan designed by a Board Certified Behavior Analyst - Record progress after each session - Receive regular coaching and clinical support—you will not be left to figure it out alone WE’LL HELP YOU BECOME AN RBT If you are not already certified, Tellos will provide: - Paid RBT training - Support through the competency assessment and certification process - Ongoing coaching from an experienced BCBA YOU MAY BE A GREAT FIT IF YOU - Have experience working with children - professional or personal - Are patient, warm, dependable and receptive to feedback - Can consistently work the listed schedule - Have a high school diploma or equivalent - Have reliable transportation and a valid driver’s license Experience with autism or special needs is valuable, but not required. WHY TELLOS - $22–$28/hour - Paid pathway to RBT certification - Consistent support from your supervising BCBA - Meaningful one-on-one work where you can see the child’s progress - Career growth in behavioral health and child development Apply now. We review applications quickly and will contact qualified candidates within 24–48 hours We believe in hiring people, not resumes. If you’re excited by Tellos’s mission but unsure if you meet every requirement, we still encourage you to apply, we’d love to learn what you’d bring to the team.

Location: Ozone Park, Queens 11420 📍 Location: Ozone Park, NY (Queens) 🕒 Schedule: Monday to Friday, 4:00 PM to 8:00 PM. Friday can be swapped for Sunday, with Sunday hours earlier in the afternoon. 🏠 Setting: 1:1 in-home ABA therapy About the role LBAPS is seeking an ABA Paraprofessional (RBT) for a 1:1 in-home case in Ozone Park, NY. You will deliver ABA sessions under the direction of a supervising BCBA and record session data. What we are looking for ✅ Female technician required ✅ High school diploma required ✅ ABA experience preferred ✅ Comfortable providing in-home services ✅ Reliable and dependable What we offer 💰 $25–$30 per hour, depending on experience and qualifications 🕒 Flexible schedule option, with Sunday available in place of Friday 📩 Apply today to be considered.

Location: Brooklyn, New York 11234 📍 Location: Brooklyn, NY 🕒 Schedule: Monday to Friday, 3:00 PM to 4:30 PM 🏠 Setting: 1:1 in-home ABA therapy About the role LBAPS is seeking a Female Registered Behavior Technician (RBT) for a 1:1 in-home case in Brooklyn. You will deliver ABA sessions under the direction of a supervising BCBA and record session data. What we are looking for ✅ High school diploma ✅ Experience working with children ✅ Female technician required ✅ Patient, caring, and dependable ✅ Strong communication skills What we offer 🕒 Weekday afternoon hours, Monday to Friday 📩 Apply today to be considered.

Location: Canada; United States Tasks summary: Architecture Concept & Requirements • Translate mission‑level ΔV, thrust, lifetime, and reliability goals into EP system requirements (performance, power, mass, contamination, EMI). • Produce System Requirements, Interface Control Documents (ICDs), and Description documents for thruster assemblies, Power‑Processing Units (PPU), propellant feed & storage, and control electronics. • Perform requirement management and maintain bidirectional traceability throughout the project lifecycle. Detailed Design • Perform system‑level power, thermal, and mass budget analyses; produce trade‑off matrices (thrust vs. power vs. propellant mass, reliability vs. complexity). • Lead detailed mechanical/electrical design of thruster mounting, heater/thermal control, and PPU (converter, regulator, fault‑protection). • Define propellant handling hardware (tanks, valves, feed‑lines, interconnects) and develop contamination control procedures. • Negotiate ICDs and interface agreements with external thruster vendors and component suppliers. Modeling & Simulation • Support or Develop 1‑D/3‑D plume models and perform reliability prediction. Software & Control • Define command and telemetry interfaces for EP & health‑monitoring telemetry. • Work with FSW teams to develop thrust profile generation, and fault detection isolation recovery (FDIR) algorithms. Cross‑Functional Coordination, Stakeholder & Program Interaction • Communicate technical status, risk assessments and trade‑study results to senior management and/or customers or partners. • Negotiate and manage ICDs with platform subsystems and supplier teams. • Support B&P (Phase 0 & pre-phase A). Integration & Verification (IVV) • Develop verification plans, test matrices, and validation procedures for unit, subsystem, and spacecraft‑level EP tests. • Oversee hardware‑in‑the‑loop (HIL) and thrust‑stand testing, including thrust‑calibration, specific impulse measurement, pulse‑modulation, and lifetime cycling. Technical Leadership & Mentorship • Mentor, guide junior engineers and interns. • Act as technical liaison with customers, partners and external vendors • Act as Continuous Improvement stakeholder Configuration, Documentation & Standards Management • Author and maintain client's EP standards (thruster qualification, PPU design, contamination limits). • Ensure all artefacts, analysis, software, deliverables and documentations are version controlled in PLM environment. • Support design reviews (SRR, PDR, CDR, MRR/TRR…etc.). • Support Technology Road‑Mapping & Innovation. Launch-Site, On-Orbit & Operations Support • Provide real‑time EP support during launch, early‑orbit checkout, and routine station‑keeping. • Support on‑orbit checkout procedures, thruster test campaigns, and contingency recovery plans. • Support SOOH development and associated operator training. Required Qualifications: · B.Sc. in Electrical Engineering, Aerospace, or Physics with 8+ years of electrical propulsion engineering experience on LEO/MEO platforms. · Strong knowledge of EP thruster families and their performance characteristics. · Experience with propellant storage & feed-system design (tanks, valves, micro-valves). · Strong understanding of aerospace system engineering fundamentals, space environment and orbit mechanics. · Hands-on individual who can support systems integration processes and capability to test systems and resolve problems. · Experience with Confluence and JIRA. · Demonstrated capability to efficiently work with little to no supervision · Ability to distill complex problems to fundamentals to solve with analysis, similarity, or creativity. · Demonstrate excellent written and oral communication skills in English; knowledge of French will be considered an asset (Contact with clients outside Quebec and work on deliverables in English). · Support the Spacecraft operations team in critical phases

Location: Flushing, New York 📍 Location: Flushing, NY 🕒 Schedule: Monday to Friday, 4:00 PM to 7:00 PM 🏠 Setting: In-home ABA services About the role LBAPS is seeking an ABA Paraprofessional (RBT) for a 1:1 case in Flushing, NY. You will deliver ABA sessions under the direction of a supervising BCBA and record session data. What we are looking for ✅ Previous RBT or ABA therapy experience required ✅ Experience working with children with autism required ✅ High school diploma or GED required ✅ Patient, dependable, and compassionate ✅ Strong communication and teamwork skills What we offer 💰 Competitive pay 🕒 Consistent part-time hours 💙 Supportive team environment 📩 Apply today to be considered.

Location: Fulton /Cobb County, GA About Us Ennoble Care is a mobile primary care, palliative care, and hospice service provider with patients in New York, New Jersey, Maryland, DC, Virginia, Oklahoma, Kansas, Pennsylvania, Texas, Florida, Ohio, Kentucky, Mississippi, and Georgia. Ennoble Care’s clinicians go to the home of the patient, providing continuum of care for those with chronic conditions and limited mobility. Ennoble Care offers a variety of programs including, remote patient monitoring, behavioral health management, and chronic care management, to ensure that our patients receive the highest quality of care by a team they know and trust. We seek individuals who are driven to make a difference and embody our motto, “To Care is an Honor.” Join Ennoble Care today! About the Role: Ennoble Care is hiring for a Full-time Hospice Registered Nurse Case Manager to work within and around the Fulton / Cobb County, GA region. As a member of the interdisciplinary team, the RN Case Manager works under the general direction of the Director of Nursing, the attending physician and the interdisciplinary group in providing skilled nursing assessments, planning, and care in order to maximize the comfort and health of both patients and their loved ones/caregivers. Responsible for identifying patient and loved ones/caregiver needs and for providing supportive care in accordance with the attending physician’s orders and plan of care and the policies and procedures. The functions of this position will include the following: Shall be assigned patient caseload by the Patient Care Coordinator or designee Assume primary responsibility for a patient caseload that includes the assessing, planning, implementing and evaluating phases of the nursing process Initiate communication with attending physicians, Hospice staff members and other agencies as needed to coordinate optimal care and use of resources for the patient and loved ones/caregivers Maintain regular communication with the attending physician concerning patient and loved ones/caregivers Seek input from other team members regarding the patient plan of care to obtain additional knowledge and support Provide accurate and timely documentation in electronic medical records. Participates in and contributes appropriate information for Interdisciplinary Group meetings Accept responsibility for coordinating physical care of the patient by teaching primary caregivers, volunteers, and employed caregivers or by providing direct care as appropriate Meet regularly with the Hospice nursing staff to review problems or unique issues from caseloads; share professional support; and exchange feedback aimed toward enhancing professional growth Attend patient care conferences and facilitate discussion of issues from caseload for full staff discussion, consultation and evaluation Supervise and document the NAC every two weeks or as assigned Inform the Patient Care Coordinator of unusual or potentially problematic patient/family issues Assume the role of associate nurse when responding to patient/loved ones/caregivers of other primary nurses during off-hour times or as requested by the Patient Care Coordinator to fill patient/family needs during the absence of other primary nurses Provide appropriate support at time of death and period of bereavement Participate in the Hospice orientation and in-service training programs for professional staff Participate in agency and community programs as required to promote professional growth and understanding of hospice care Maintain familiarity with policies of the agency and rules and regulations of State and Federal bodies which govern hospice Accept other assignments as appropriate Qualifications: Must be a graduate from an accredited School of Nursing. Must be a Registered Nurse who is currently licensed to practice nursing under the provisions of Article 1 of Chapter 26 of Title 43 of the Official code of Georgia. One year of RN experience. Hospice experience preferred. Must have excellent assessment skills and problem-solving skills. CPR certified for patient care. Should be skillful in organization and in the principles of time management and have knowledge of case management processes. Must be a licensed driver with an insured automobile in good working order. The ability to communicate well, both verbally and in writing. Must have no exceptions to RN license, and be able to administer pharmaceuticals, perform medication reconciliation, and any nursing procedures or special treatments needed within the scope of nursing practice for state. All skills must be deemed competent before actual hands-on patient care, and when procedures or treatments are not usually performed. #purple Full-time employees qualify for the following benefits: Medical, Dental, Vision and supplementary benefits such as Life Insurance, Short Term and Long Term Disability, Flexible Spending Accounts for Medical and Dependent Care, Accident, Critical Illness, and Hospital Indemnity. Paid Time Off Paid Office Holidays All employees qualify for these benefits: Paid Sick Time 401(k) with up to 3% company match Referral Program Payactiv: pay-on-demand. Cash out earned money when and where you need it! Candidates must disclose any current or future need for employment-based immigration sponsorship (including, but not limited to, OPT, STEM OPT, or visa sponsorship) before an offer of employment is extended. Ennoble Care is an Equal Opportunity Employer, committed to hiring the best team possible, and does not discriminate against protected characteristics including but not limited to - race, age, sexual orientation, gender identity and expression, national origin, religion, disability, and veteran status.

Location: Montreal, Canada Tasks summary: Architecture Concept & Requirements Translate mission‑level ΔV, thrust, lifetime, and reliability goals into EP system requirements (performance, power, mass, contamination, EMI). Produce System Requirements, Interface Control Documents (ICDs), and Description documents for thruster assemblies, Power‑Processing Units (PPU), propellant feed & storage, and control electronics. Perform requirement management and maintain bidirectional traceability throughout the project lifecycle. Detailed Design Perform system‑level power, thermal, and mass budget analyses; produce trade‑off matrices (thrust vs. power vs. propellant mass, reliability vs. complexity). Lead detailed mechanical/electrical design of thruster mounting, heater/thermal control, and PPU (converter, regulator, fault‑protection). Define propellant handling hardware (tanks, valves, feed‑lines, interconnects) and develop contamination control procedures. Negotiate ICDs and interface agreements with external thruster vendors and component suppliers. Support or Develop 1‑D/3‑D plume models and perform reliability prediction. Modeling & Simulation Software & Control Define command and telemetry interfaces for EP & health‑monitoring telemetry. Work with FSW teams to develop thrust profile generation, and fault detection isolation recovery (FDIR) algorithms. Cross‑Functional Coordination, Stakeholder & Program Interaction Communicate technical status, risk assessments and trade‑study results to senior management and/or customers or partners. Negotiate and manage ICDs with platform subsystems and supplier teams. Support B&P (Phase 0 & pre-phase A). Integration & Verification (IVV) Develop verification plans, test matrices, and validation procedures for unit, subsystem, and spacecraft‑level EP tests. Oversee hardware‑in‑the‑loop (HIL) and thrust‑stand testing, including thrust‑calibration, specific impulse measurement, pulse‑modulation, and lifetime cycling. Technical Leadership & Mentorship Mentor, guide junior engineers and interns. Act as technical liaison with customers, partners and external vendors Act as Continuous Improvement stakeholder Contribute to MDA’s knowledge‑base, process enhancements, and standards development. Configuration, Documentation & Standards Management Author and maintain MDA EP standards (thruster qualification, PPU design, contamination limits). • Ensure all artefacts, analysis, software, deliverables and documentations are version controlled in PLM environment. Support design reviews (SRR, PDR, CDR, MRR/TRR…etc.). Support Technology Road‑Mapping & Innovation. Launch-Site, On-Orbit & Operations Support Provide real‑time EP support during launch, early‑orbit checkout, and routine station‑keeping. Support on‑orbit checkout procedures, thruster test campaigns, and contingency recovery plans. Support SOOH development and associated operator training. B.Sc. in Electrical Engineering, Aerospace, or Physics with 8+ years of electrical propulsion engineering experience on LEO/MEO platforms. Strong knowledge of EP thruster families and their performance characteristics. Experience with propellant storage & feed‑system design (tanks, valves, micro‑valves). Strong understanding of aerospace system engineering fundamentals, space environment and orbit mechanics. Hands-on individual who can support systems integration processes and capability to test systems and resolve problems. Experience with Confluence and JIRA. Demonstrated capability to efficiently work with little to no supervision Ability to distill complex problems to fundamentals to solve with analysis, similarity, or creativity. Demonstrate excellent written and oral communication skills in English; knowledge of French will be considered an asset (Contact with clients outside Quebec and work on deliverables in English). Support the Spacecraft operations team in critical phases. Required Qualifications: • B.Sc. in Electrical Engineering, Aerospace, or Physics with 8+ years of electrical propulsion engineering experience on LEO/MEO platforms. • Strong knowledge of EP thruster families and their performance characteristics. • Experience with propellant storage & feed system design (tanks, valves, micro valves). • Strong understanding of aerospace system engineering fundamentals, space environment and orbit mechanics. • Hands-on individual who can support systems integration processes and capability to test systems and resolve problems. • Experience with Confluence and JIRA. • Demonstrated capability to efficiently work with little to no supervision • Ability to distill complex problems to fundamentals to solve with analysis, similarity, or creativity. • Demonstrate excellent written and oral communication skills in English; knowledge of French will be considered an asset (Contact with clients outside Quebec and work on deliverables in English). • Support the Spacecraft operations team in critical phases.

Location: Brooklyn, NY 📍 Location: Brooklyn, NY 🕒 Schedule: Monday to Friday, 4:00 PM to 7:00 PM 🏠 Setting: 1:1 in-home ABA therapy About the role LBAPS is seeking a Registered Behavior Technician (RBT) for a 1:1 in-home case in Brooklyn. You will deliver ABA sessions under the direction of a supervising BCBA and record session data. What we are looking for ✅ High school diploma required ✅ Experience working with children required ✅ Reliable, patient, and passionate about helping learners reach their full potential What we offer 💰 $25–$30/hour, depending on experience 🕒 Consistent weekday hours 💙 Supportive team environment 📩 Apply today to be considered.