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Location: Athens; Limassol; Nicosia; Thessaloniki Workplace: hybrid The Role:  We are looking for a Senior Data Scientist specializing in Graph AI to join our growing Data Science team. In this role, you will design and deploy production-grade graph machine learning solutions, working with Graph Neural Networks (GNNs), graph databases, and large-scale datasets to solve complex real-world problems.   You will play a key role in shaping the company's Graph AI capabilities, collaborating with cross-functional teams and mentoring other data scientists while delivering innovative, business-impacting solutions. The main responsibilities of the position include: Design, develop, and deploy Graph Neural Networks (GNNs) and graph-based machine learning solutions Transform large, complex datasets into graph representations and extract actionable insights using advanced analytics, graph algorithms, and statistical techniques. Drive the adoption of Graph AI across the organisation by identifying new use cases and contributing to the evolution of the company's data science strategy. Communicate complex technical concepts and model outcomes clearly to both technical and business audiences. Ensure high standards in data preparation, feature engineering, model evaluation, documentation, and code quality . Leverage technologies such as Python, Graph Neural Networks, graph databases, modern ML frameworks, and cloud-based data platforms to build innovative data solutions Ensure adherence to best practices in data quality, model monitoring, version control, and reproducible analytics Lead and supervise a team of data scientists working on graph-related tasks Partner closely with Data Engineers, Software Engineers, Product Managers, and business stakeholders to translate business challenges into scalable Graph AI solutions. Main requirements: University degree in Mathematics, Physics, Computer Science, Engineering, Data Science, or a related quantitative field At least 6 years of experience in data science, machine learning and AI , including hands-on experience in designing, training and optimising Graph Neural Networks (GNNs) for production applications. Experience working with relational and non-relational databases Solid experience working with graph databases (e.g., Neo4j, Neptune) and proficiency in graph query languages (e.g., Cypher or Gremlin). Experience with data visualization tools such as Matplotlib, Seaborn, or Plotly Strong programming skills in Python and experience with Pandas, NumPy , and similar data analysis libraries Strong analytical thinking, problem-solving ability, and attention to detail . Excellent communication skills and the ability to work collaboratively in a team environment Fluent in English Benefit from: Attractive remuneration package plus performance related reward Private health insurance Corporate pension fund Intellectually stimulating work environment Continuous personal development and international training opportunities The Hiring Experience: What Awaits You Let’s Connect – Intro Chat with Talent Acquisition Deep Dive – First Interview with Your Future Team Bring It to Life – Role-Specific Take-Home Task Final Connection – Final Interview All applications will be treated with strict confidentiality!   By submitting this application, I confirm that I have read and agree to the terms of the Privacy and Data Protection Notice and the Confidentiality Undertaking.

Location: Dubai, United Arab Emirates We are looking for an experienced Mechanical Engineer to join our construction team in the UAE. The ideal candidate must have a strong background in the construction industry with hands-on experience in HVAC and plumbing systems across residential, commercial, or high-rise building projects. This role requires an individual who can oversee mechanical works from planning through execution, ensuring all systems are delivered according to project specifications, quality standards, and project timelines. Key Responsibilities Manage and supervise mechanical works on construction sites. Coordinate the installation, testing, and commissioning of HVAC and plumbing systems. Review mechanical drawings, shop drawings, and technical specifications. Coordinate with consultants, subcontractors, architects, and other engineering disciplines. Monitor site progress and ensure compliance with project schedules. Ensure all mechanical installations comply with local authority regulations and industry standards. Conduct inspections and resolve technical issues during construction. Review material submittals and ensure approved materials are used on site. Prepare progress reports and participate in project meetings. Ensure adherence to health, safety, and quality standards throughout project execution. Requirements Requirements Bachelor's Degree in Mechanical Engineering. Mandatory UAE construction experience. Hands-on experience with HVAC and Plumbing systems is mandatory. Minimum 5 years of relevant experience in construction projects. Strong understanding of MEP coordination and site execution. Experience reviewing shop drawings and coordinating with consultants. Experience working on residential, commercial, or mixed-use developments. Strong problem-solving and project coordination skills. Knowledge of local UAE construction standards and regulations. Excellent communication and coordination skills. Ability to manage multiple priorities and work under tight deadlines. Benefits Competitive salary package. Employment Visa. Medical Insurance. Career growth opportunities within a leading construction company.

Location: Dubai, United Arab Emirates We are looking for a skilled Safety officer to join our team! Work format: On-site (Project Office, Construction Site) Responsibilities: Implement HSE Policy, HSE Plan, and HSE legislation and other requirements, monitor HSE performance, and HSE targets, and suggest measures for further improvement. Liaise with Safety Manager and Contractors for the improvement & implementation of Corporate HSE Management ethics. Monitor contractors to ensure the implementation of applicable Safety measures and best practices. Review and Monitor Contractors' monthly HSE inspections/reports. Conducting monthly Safety meetings, setting the target to achieve the outstanding issues, prepare / submit the minutes to all concerned for follow-up. Review Emergency Preparedness and response, Permit to work system, HSE meetings, HSE statistics & records of the contractors according to Company requirements. Review Incident/Accident investigation reports from contractors, report & communicating the learning points, and monitor the immediate action and follow-up actions to minimise/prevent re-occurrence. Perform other responsibilities associated with this position as may be appropriate. Requirements Minimum Diploma or B.Sc. or equivalent degree in environmental/loss prevention or any relevant engineering disciplines from an accredited university. With recognised Health and Safety education, SARS card (training in UAE will be a plus) or NEBOSH/IOSH certificates. Trakhees card holder or desire to get it. At least 3+ years of construction supervision experience working as a Safety Officer. Recent experience in construction supervision. Preferably with experience the in UAE and with a driving license is an advantage. 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: Queens, NY 📍 Location: Queens, NY 🏠 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 Queens. You will deliver ABA sessions under the direction of a supervising BCBA and record session data. What we are looking for ✅ Experience working with children required ✅ High school diploma or equivalent required ✅ Caring, patient, and reliable What we offer 💰 $25–$30 per hour, based on experience 📩 Apply today to be considered.

Location: Registered Behavioral Therapist- Baldwin NY 📍 Location: Baldwin, NY 🕒 Schedule: Monday to Thursday, 3:00 PM to 6:00 PM 🏠 Setting: 1:1 home-based ABA therapy About the role LBAPS is seeking a Registered Behavior Technician (RBT) for a 1:1 home-based case in Baldwin. 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 ✅ Caring, patient, and dependable What we offer 💰 $25–$30 per hour, depending on experience 🕒 Weekday afternoon schedule 💙 Supportive team environment 📩 Apply today to be considered.

Location: Ridge, New York 📍 Location: Ridge, NY 🕒 Schedule: Monday, Tuesday, Thursday and Friday, 4:00 PM to 6:00 PM About the role LBAPS is seeking a Registered Behavior Technician (RBT) for a case in Ridge. You will deliver ABA sessions under the direction of a supervising BCBA and record session data. What we are looking for ✅ Experience working with children required ✅ Patient, compassionate, and reliable ✅ Strong communication and teamwork skills ✅ ABA experience is a plus What we offer 💰 $25–$30 per hour, based on experience 🕒 Weekday afternoon schedule 📩 Apply today to be considered.

Location: Brooklyn, NY 📍 Location: Brooklyn, NY 🕒 Schedule: Monday–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 ✅ Registered Behavior Technician (RBT) credential ✅ Experience working with children is required ✅ Reliable, patient, and committed to helping learners reach their full potential What we offer 💰 Pay of $25–$30/hour, depending on experience 🕒 Consistent weekday hours 💙 Rewarding one-on-one work in a supportive team environment 📩 Apply today to be considered.

Location: Queens, New York 📍 Location: Queens, NY 🕒 Schedule: Monday–Friday, 4:00 PM – 7:30 PM 🏠 Setting: In-home ABA therapy About the role LBAPS is seeking a Registered Behavior Technician (RBT) for an in-home case in Queens. 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 ✅ ABA or RBT experience is a plus ✅ Patient, compassionate, and dependable ✅ Strong communication and teamwork skills What we offer 💰 Pay based on experience 💙 Rewarding work making a lasting impact on children 📩 Apply today to be considered.

Location: Forest Hills, NY 📍 Location: Forest Hills, NY (Queens) 🕒 Schedule: Monday–Friday, 4:00 PM – 7:00 PM 🏠 Setting: In-home ABA therapy About the role LBAPS is seeking a Registered Behavior Technician (RBT) for an in-home case in Forest Hills. You will deliver ABA sessions under the direction of a supervising BCBA and record session data. What we are looking for ✅ Male RBT required ✅ Previous RBT experience required ✅ Experience working with children receiving ABA services ✅ Physically fit and able to safely support active sessions ✅ Patient, dependable, and compassionate What we offer 💰 Competitive rate based on experience 💙 Supportive home environment 📩 Apply today to be considered.

Location: Flushing,NY 📍 Location: Flushing, NY 🕒 Schedule: Sunday–Friday, 3:00 PM – 7:00 PM 🏠 Setting: In-home ABA therapy About the role LBAPS is seeking a Registered Behavior Technician (RBT) for an in-home case in Flushing. You will deliver ABA sessions under the direction of a supervising BCBA and record session data. What we are looking for ✅ High school diploma ✅ A few years of experience working with children ✅ ABA therapy experience preferred ✅ Patient and compassionate ✅ Reliable and committed to helping children grow and succeed What we offer 💰 Competitive rate based on experience 📩 Apply today to be considered.

Location: Brownsburg, Indiana Lumos is looking for a full-time Supervisor – Service Operations ! If you’re experienced as a leader in telecom service operations who’s excited for a fast-paced experience, ready to help us grow, and ready to recommend process changes that ensure we’re harnessing our technology to the best of our ability while broadening our ability to set up and maintain our service, we want to hear from you! The Supervisor – Service Operations leads employees and contractors that ensure our customers have a professional experience when we’re onsite installing service or troubleshooting, all supported by the Manager – Service Operations and wider leadership team. Why Lumos: Lumos is transforming the future of connectivity by building one of the nation's fastest-growing 100% Fiber Optic networks. Through T-Fiber, our joint venture with T-Mobile, we're working toward a shared goal of connecting 12 to 15 million homes by 2030 while expanding access to reliable, high-speed internet in the communities we serve. Here, you'll find more than a job, you'll have the opportunity to make an impact, take ownership of your work, and help shape how we grow. We move quickly, collaborate across teams, and believe the best ideas come from people who are curious, solutions-oriented, and ready to build what's next. What You'll Do: Supervises teams in the achievement of service and quality objectives, maintains alignment with budgets and SLAs, and creates and present reports about service metrics, embodying Lumos’s servant leadership model. Demonstrates leadership and vision managing people, major projects, and initiatives. Provides direction to managers and supervisors in areas of quality assurance, safety, productivity monitoring, training, and budget & SLA adherence. Performs proactive and reactive field visits: assessing customer service with site visits to customers to obtain their feedback on their experience with tech installation or repair, perform compliance reviews of vendor-provided services, and coordinate appropriate installation and repair activities. Performs administrative duties including management of employee timesheets and contractor invoicing, differentiating between capital and operational expenses, installation and repair calendar scheduling, approving invoices, and supporting invoice audits. Ensures teams follow service and safety standards as required by State Corporation Commission, industry & manufacturer guidelines, OSHA, National Electric Safety Code, Departments of Transportation, and local building codes covering our multi-state network. Responsible for managing the overall operational and daily activities of the department: planning and implementing systems that support the work and fulfill the mission and goals of the department efficiently and effectively. Supports Manager in budget adherence as well as multiple service quality standards including Troubles/100 Lines, Repeat Troubles, Drop Wire Troubles, Inside Wire Troubles and certain levels of complaints. Works with day-to-day fiduciary functions to ensure effective expense measures are in place. Ensures operational efficiencies along with accountability and adherence to departmental policies and procedures for his/her team. Establishes performance measures, goals, objectives, and priorities for team. Evaluates employee work performance; identifies appropriate training and counseling opportunities when needed in partnership with leadership and HR team. Evaluates and recommends changes and improvements to management regarding departmental policies, procedures, and issues to improve productivity and efficiencies. Performs other duties as assigned including departmental and cross-functional projects. What You'll Bring: Exceptional customer service and interpersonal presence. Solid people leader; open to giving and taking direction, as well collaborative work styles and a commitment to get the job done. Able to successfully build and maintain relationships within and across teams, demonstrating servant leadership behaviors and project management skills. Excellent written and verbal communication skills. Possesses strong time management and organizational skills. Maintains flexibility and grace under pressure in a fast-paced, ever-changing environment – managing multiple projects and priorities simultaneously, approaching others in a tactful manner, accepting responsibility for own actions, and following through on commitments. Demonstrates self-motivation and team player attributes with a positive, collaborative management approach and attitude. What Makes You a Great Fit: 6+ years’ Service Operations experience in telecommunications required. High school diploma or equivalent required; Bachelor’s degree preferred. Able to travel to various worksites or service locations as the job requires. Proactive, independent, and ability to take initiative to keep on-task and on-target. Physical Requirements: Constantly operates computer, keyboard, and related peripherals. Frequently sedentary. Near-constant use of sight, speech, hearing, comprehension, and reasoning. Benefits & Perks: Our commitment to communities includes recruiting and rewarding the Lumos team members who are working together to build a brighter tomorrow. We have: Comprehensive health, dental, and vision coverage. Competitive compensation packages, including bonus options for eligible positions. Paid Time Off & Paid Holidays. Health Savings Accounts (HSAs) and Flexible Spending Accounts (FSAs). 100% employer-paid life and disability insurance. Employee Assistance Program (EAP) with access to professional support for life’s challenges. 401K plan w/ up to 5% employer contribution and a self-directed brokerage option. Wellness program offering education and cash incentives for gym attendance and nutrition programs. Employee referral bonuses. Discounts on Lumos Fiber Internet for employees who live in our service areas. Discounts on T-Mobile wireless service and select features for lines. Applicant Eligibility Notice: Applicants must be at least eighteen (18) years of age at the time of application. At Lumos we recruit, hire, employ, train, promote, and compensate individuals based on job-related qualifications and abilities. We have a longstanding policy of providing a work environment that respects the dignity and worth of each individual and is free from all forms of employment discrimination, including harassment, because of race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. We will provide reasonable accommodation to qualified individuals with disabilities or based on a sincerely held religious belief, in accordance with applicable laws.

Location: Taiwan About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. About the Role We are looking for a technically strong, hands-on QA Engineer to join our hardware team on-site at ODM factories in Taiwan. This is not a checklist job - we're looking for someone who enjoys digging deep into technical issues, investigating root causes, and taking ownership of complex hardware problems.You'll be the key person ensuring the quality of our servers and racks before they ship, but more importantly, you'll play a critical role in debugging failures, analyzing test data, and working closely with RnD, logistics, and factory teams to continuously improve the process and the product.This is a deeply technical role that blends hardware validation, manufacturing QA, and problem-solving - perfect for someone who understands how servers are built and tested, and wants to make sure every unit that leaves the factory is production-grade. What You'll Own Technical Investigation & Debugging Investigate complex problems (e.g., high GPU failure rate, power-related test failures), gather logs, run diagnostics, and escalate with context to RnD when needed. Drive root cause analysis across factory teams and internal engineering groups. Document findings and help define preventive actions for recurring problems. Act as the first line of technical escalation for hardware issues discovered during factory QA or internal testing.Engineering Support Participate in new platform bring-up sessions together with the visiting RnD teams during on-site trips to ODM labs. Provide technical support, coordination, and hands-on assistance during the bring-up process. Help ensure early-stage hardware behaves as expected, and escalate integration or platform issues to the relevant teams.On-Site Product QA Perform visual inspections of completed products (servers, racks) before packaging. Define and maintain QA checklists and inspection procedures tailored to different product lines. Verify inventory records at the factory against internal system data (part numbers, serials, configurations). Oversee the product packaging process for compliance with defined standards. Supervise pickup operations: ensure outbound trucks meet shipment conditions and schedules.Failure Rate Monitoring & Analytics Collect failure data from vendor-side burn-in and our own test systems. Analyze failure trends and estimate spare part needs for future datacenter deployments. Use dashboards and structured reporting to communicate insights with QA, engineering, and supply chain teams.Feedback Loop & Quality Improvement Gather and process feedback from datacenters on each delivered batch of equipment: * Report on packaging issues, impact sensor triggers, shipping anomalies. * Assess rack-level build quality: cabling, bracket alignment, labeling. * Log systemic hardware issues (design flaws, infant mortality, recurring failures). Forward the feedback to the teams: logistics, ODM partners, hardware RnD, QA.Test Infrastructure & Validation Assist with deployment and maintenance of test infrastructure on-site. Ensure Nebius post-manufacturing hardware validation tests run smoothly (uptime, monitoring, coordination with support team). Coordinate real-time issue escalation and basic triage with factory and internal teams.Local Insight & Communication Communicate relevant local risks and context (e.g., typhoons, holidays, factory-specific constraints) to our global logistics and hardware teams. Maintain productive relationships with factory staff, logistics providers, and internal stakeholders. Working Conditions & Tools During production peaks, issues may arise that require fast, hands-on debugging and resolution on-site. Flexibility is expected: you may need to stay late to investigate failures in freshly built batches or arrive early to verify and unblock outbound truck shipments. Rapid response and clear communication with engineering and factory teams are critical during these high-pressure periods. Occasional international travel may be expected to Nebius headquarters in Amsterdam or to datacenters in Europe and the US. Daily work tools involve: * Managing workflows and escalation via Jira * Writing and maintaining technical documentation in Confluence * Using Grafana dashboards for monitoring test environments and system health * Operating with several internal inventory and test control systems What You'll Bring Strong technical background in hardware or systems engineering, able to independently investigate and troubleshoot complex issues with server systems. 5+ years of experience in hardware QA, manufacturing supervision, or server validation. A strong background in R&D is a significant plus. Solid understanding of server and rack hardware: components, layout, cabling, power/cooling, diagnostics. Ability to read and interpret technical documentation (e.g., datasheets, system specs, debug manuals). Solid knowledge of electrical engineering fundamentals (e.g., power specs, grounding, signal integrity). Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Sta. Rosa, Laguna Workplace: OnSite Duties and Responsibilities - Customer Onboarding - Conducts customer due diligence and KYC (know-your-customer) - Checks the legitimacy of the proof of identity and escalates immediately if suspected counterfeit or suspicious. - Validates the completeness and accuracy of customer information on the customer information sheet/account opening form. - Conducts signature verification. - Photocopies the proof of identity and files it together with the account opening form. - Creates the customer profile and opens the account in the Core Banking System (CBS) - Secures appropriate approval for the creation completed. - Releases passbook / chequebook / Time Deposit Certificate, as applicable, depending on the product availed by the customer. - Scans the Account Opening Document Set. - End-Of-Day (EOD) generation of report of all accounts opened and submits EOD report to the Service Delivery Head. - Customer Information Update – validation of customer documents presented to support the update if customer-initiated request or performs update of customer profile as part of the periodic review. - Conducts Enhanced Due Diligence as necessary. - Maintains Customer’s Account in the system based on customer’s request or bank-initiated activities. - Preparation of Customer Notifications and monitor its delivery status. - Fire-Proof Cabinet / Vault Custodianship - Safekeeps accountable forms and records the utilization of accountable forms. - Safekeeping of Account Opening Documents, together with the proof of deposit, in a secured and organized manner during the branch banking hours. - Act as dual custodian to safekeep or release the cheques received in a fire-proof cabinet/vault for deposit to the Depository Bank by the Teller. - Customer Interaction such as but not limited to: - Attends to customer queries at the branch. - Responds to Customer Inquiry via email. - Resolves customer complaint. - Call-out (TD Maturity, Bounced Cheques, etc.) - Release and Monitoring of Bounced Cheques Pick up and/or Replacement - Debit Cards Handling - Release of Debit Cards to Customers and Tagging in the System - Blocking of Card – Lost / Stolen - Destruction of aged card - All files shall be safekept in the designated filing cabinet and shall be within the retention period. - Ensure completion of tasks assigned within the agreed turnaround-time. - Other processes that may arise related to Account Services. - Timely reports concerns identified and possible issues that might have impact to branch operations. - Acts as reliever when somebody goes on leave based on the relief arrangement within the team. - Organizes team files (soft and hard copy) and adheres to the record retention policy. - Identifies processes/systems for improvement but ensuring controls are in place. - Initiates projects for the betterment of the team and the company as a whole. - Participates on UAT/UVT for new or enhancement of systems that will have impact to the team. - Participates in Business Continuity Plan (BCP) Activities. - Prompt identification and escalation of issues noted and propose resolution to the immediate supervisor. - Performs tasks that maybe assigned from time to time other than the basic responsibilities listed above. - Assists in combatting money laundering by ensuring processes required are in place. - Complies with regulatory requirements like BSP, AMLC, PDIC, BIR and other governing bodies. - Strict adherence to company’s policies and code of conduct. EDUCATION & COMPETENCIES - University degree on Banking & Finance, or any related Business Course - With at least 3 years of relevant experience in a banking industry - Strong knowledge and experience in teller services or branch operations - Sufficient knowledge of BSP regulations - Good communication skills - Problem-solving skills in a well-structured manner - Ability to work with different culture, race, or ethnic group. - Can work independently with minimal supervision. - Acceptable risk management skills and ability to mitigate identified risks. - Good interpersonal skills - Keen attention to details - Organize, innovative and results oriented. - Ability to multi-task in a fast-paced environment - Positive attitude knows how to find ways to address different circumstances. - With official Signature Verification, KYC / CDD Training / Seminars attended.

Location: Singapore About the Company Our client is a stealth AI startup backed by one of Southeast Asia's leading technology companies and is currently building its global founding team. The company is developing an AI-native communication platform designed to simplify everyday tasks by integrating AI directly into conversations. Instead of switching between multiple applications, users can plan, organize, compare, research, and complete tasks within a single intelligent assistant. Serving a market of billions of users still relying on traditional productivity tools, the platform focuses on delivering reliable AI workflows, persistent context, multi-step reasoning, and seamless task execution. The mission is to create an AI assistant that significantly improves productivity while making everyday work simpler and more intuitive. About the Role Our client is seeking a Technical Lead, Machine Learning to lead the execution of its AI platform by translating research into scalable, production-ready machine learning systems. This role sits at the intersection of research, infrastructure, and product, with responsibility for ensuring models are trainable, deployable, observable, and optimized for real-world performance. Working closely with research, engineering, and product teams, this position will drive the development of robust ML infrastructure while balancing performance, reliability, latency, and cost. Key Responsibilities Lead the end-to-end execution of machine learning systems, including data pipelines, training workflows, evaluation frameworks, inference architecture, and production deployment. Fine-tune and optimize models using modern techniques such as LoRA, QLoRA, Supervised Fine-Tuning (SFT), Direct Preference Optimization (DPO), and model distillation . Design, build, and operate scalable inference systems with a focus on latency, cost efficiency, and reliability. Develop and maintain data pipelines for both synthetic and real-world training datasets. Build evaluation frameworks to measure model performance, robustness, safety, and bias in collaboration with research teams. Optimize production deployments through GPU utilization, memory efficiency, inference optimization, and scaling strategies. Partner closely with application engineering teams to integrate machine learning systems into backend, desktop, and mobile products. Continuously improve production systems through rapid iteration, monitoring, and data-driven optimization. Requirements Proven experience building and deploying production-grade machine learning systems used by real users. Strong expertise working with large language models and understanding model behavior, limitations, and failure modes. Experience developing scalable ML infrastructure, training pipelines, and inference systems. Strong software engineering skills with the ability to write maintainable, production-quality code. Experience balancing real-world production constraints, including latency, reliability, scalability, cost, and safety. Strong ownership mindset with the ability to independently drive technical initiatives from design through deployment. Excellent communication and collaboration skills, with experience working in cross-functional, high-performing engineering teams. Preferred Technical Skills Experience with the following technologies is preferred: Python PyTorch and/or JAX GPU-based model training and inference systems

Location: Singapore About the Company Our client is a stealth AI startup backed by one of Southeast Asia's leading technology companies and is currently building its global founding team. The company is developing an AI-native communication platform designed to simplify everyday tasks by integrating AI directly into conversations. Instead of switching between multiple applications, users can plan, organize, compare, research, and complete tasks within a single intelligent assistant. Serving a market of billions of users still relying on traditional productivity tools, the platform focuses on delivering reliable AI workflows, persistent context, multi-step reasoning, and seamless task execution. The mission is to create an AI assistant that significantly improves productivity while making everyday work simpler and more intuitive. About the Role Our client is seeking a Principal Machine Learning Engineer to build and deploy production-grade machine learning systems that power its AI platform. This role focuses on translating research into scalable solutions by developing robust training pipelines, inference systems, evaluation frameworks, and deployment infrastructure. Working closely with research and application engineering teams, this position will play a key role in delivering reliable, high-performance ML systems that operate effectively under real-world production constraints. Key Responsibilities Build and own end-to-end machine learning pipelines covering data processing, model training, evaluation, inference, and deployment. Fine-tune and adapt models using modern techniques such as LoRA, QLoRA, Supervised Fine-Tuning (SFT), Direct Preference Optimization (DPO), and model distillation. Design and operate scalable inference systems while balancing latency, cost, and reliability. Develop and maintain data pipelines for both synthetic and real-world training datasets. Build evaluation frameworks to assess model performance, robustness, safety, and bias in collaboration with research teams. Optimize production deployments through GPU optimization, memory efficiency, latency reduction, and scaling strategies. Collaborate with application engineering teams to integrate machine learning systems into backend, mobile, and desktop applications. Continuously improve ML systems through rapid iteration and real-world performance monitoring while balancing production constraints such as latency, cost, reliability, and safety. Requirements Strong background in deep learning and transformer-based architectures. Hands-on experience training, fine-tuning, or deploying large-scale machine learning models in production. Proficiency with modern machine learning frameworks such as PyTorch or JAX . Experience with distributed training and inference frameworks, including technologies such as DeepSpeed, FSDP, Megatron, ZeRO, or Ray . Strong software engineering skills with experience building robust, maintainable, production-grade systems. Experience optimizing GPU workloads, including memory efficiency, quantization, and mixed precision. Ability to independently own end-to-end machine learning systems in fast-moving environments. Strong problem-solving skills with a focus on rapid iteration and continuous improvement. Preferred Qualifications Experience with one or more of the following is preferred: LLM inference frameworks such as vLLM, TensorRT-LLM, or FasterTransformer Open-source contributions to machine learning or systems libraries Scientific computing, compiler technologies, or GPU kernel development Reinforcement Learning from Human Feedback (RLHF) pipelines, including PPO, DPO, or ORPO Training or deploying multimodal or diffusion models Large-scale data processing frameworks such as Apache Arrow, Spark, or Ray

Location: Tabuk, Saudi Arabia; Jeddah, Saudi Arabia; Riyadh, Saudi Arabia; Yanbu, Saudi Arabia The Operations Engineer will be responsible for monitoring and controlling the operation of all facility systems and coordinating maintenance-related activities at the Primary Nursery Facility in NEOM. The role will also oversee the delivery of support services, including Janitorial, Horticulture, Pest Control, Waste Management, and Office Services. The Operations Engineer will ensure the safe, efficient, and reliable operation of electro-mechanical systems, monitor service provider performance, ensure compliance with operational KPIs, resolve customer complaints, and continuously identify opportunities to improve facility performance, energy efficiency, and end-user satisfaction. Key Responsibilities Supervise and coordinate the daily operation of all MEP and electro-mechanical systems at the Primary Nursery Facility. Monitor and control equipment including MCCs, pumps, VFDs, fans, instrumentation, emergency generators, AHUs, chillers, and related systems. Plan operational activities, establish priorities, and coordinate maintenance and project-related works. Conduct regular inspections and monitor system performance to ensure facility readiness, reliability, and compliance with operational requirements. Analyze system performance, operating parameters, alarms, and set points, and implement corrective actions and improvement initiatives. Respond promptly to emergencies, major faults, equipment failures, and operational interruptions. Support Root Cause Analysis (RCA), incident investigations, commissioning activities, and the implementation of corrective actions. Manage and monitor contractors and service providers delivering Janitorial, Horticulture, Pest Control, Waste Management, and Office Services. Ensure customer satisfaction by resolving complaints, high-priority tickets, and recurring operational issues while monitoring service delivery against KPIs. Requirements Bachelor’s degree in Electrical, Mechanical, Electro-Mechanical Engineering, or a related field. 4–6 years of experience in Facility Management, Facility Operations, or a similar role. Proven experience in the operation and monitoring of MEP and electro-mechanical systems. Good knowledge of facility systems and equipment, including MCCs, pumps, VFDs, generators, AHUs, chillers, fans, and instrumentation. Ability to read and interpret technical drawings and understand MEP commissioning procedures. Experience in contractor management, service provider coordination, and KPI monitoring. Strong knowledge of troubleshooting, problem-solving, Root Cause Analysis (RCA), and corrective action processes. Good communication, leadership, coordination, analytical, and customer service skills. Good command of written and spoken English, with the ability to work effectively under pressure and respond to operational emergencies.

Location: Canada; United States Role: We are is looking for qualified Payload System Verification and Validation Engineers to join our advanced satellite payload development team. This role focuses on system-level engineering of next-generation digital communications payloads, with a strong emphasis on requirements verification through test . The selected candidate will contribute to the entire payload lifecycle — from architecture definition and requirement specification to integration, verification, and in-orbit validation. The role requires good understanding of both digital signal processing and RF payload architectures , especially involving Software Defined Radio (SDR) and Direct Radiating Array (DRA) systems. Tasks Define, analyze, and validate system and subsystem requirements for digital telecommunications payloads. Develop and execute verification plans , including defining test strategies, writing test procedures, and analyzing results. Lead or support system-level payload test campaigns, both at equipment and spacecraft level. Interface with payload hardware and software teams to ensure correct implementation and traceability of requirements. Participate in technical reviews and support anomaly investigation and resolution. Work with multi-disciplinary teams including RF, digital, embedded software, FPGA, and systems engineering. Contribute to technology evolution by identifying opportunities for design optimization and innovation. Must haves Bachelor’s degree in Electrical Engineering, Telecommunications, Aerospace Engineering, or a related field. 5 years+ of experience in telecommunications systems, particularly in digital payloads. (experience outside of the Space industry will also be considered) Strong expertise in requirements verification by test , including practical experience in developing and executing test plans. Solid understanding of digital payload architectures , including SDR-based flexible processors and beamforming using DRA. Familiarity with hardware and software tools used in payload verification, such as: Vector Network Analyzers (VNA) and Spectrum Analyzers for RF testing Baseband signal generators , Channel Emulators , and BER testers Python , MATLAB , or LabVIEW for test automation and data analysis SCPI , VISA , and similar interfaces for instrument control Good understanding of FPGA-based systems and embedded software architectures is a plus. Must be eligible to work in Canada, capable of obtaining necessary security clearance. Complementary skills/knowledge Previous experience in Space or Constellation Operations Development and testing of new automated testing methodologies Knowledge of requirements Management tools such as DOORS/Windchill/Jama Demonstrated capability to efficiently work autonomously and with little to no supervision Written and verbal communications skills in English, knowledge of French will be considered favorably

Location: Montreal, Canada Role Overview: As a Senior PCB Design Engineer, you will take on a leadership position within our hardware design group. Your key duties will revolve around crafting, executing, and validating mixed-signal (Digital & RF) Printed Circuit Boards (PCBs) customized for application in satellite and other orbital systems. These applications encompass a diverse spectrum, encompassing digital control/processing,  motor drive units,  onboard processors,  and mass-storage units, all of which utilize cutting-edge space technologies. Key Responsibilities: Lead the digital/analog PCB design for space environments. Mentor and oversee junior team members and interns in PCB design. Translate board-level requirements into a comprehensive design concept (incorporating architecture, I/Os, key components, power dissipation estimates, FPGA integration, software integration, etc.). Collaborate closely with FPGA, software, and test designers to finalize functional concepts and streamline integration. Complete or review the schematic capture level design. Identify and manage technology and design risks. Provide guidance to ensure Design for Manufacture/Test in space environments. Supervise and review design layout constraints, parts placement, manufacturing, and assembly drawings. Prepare or review lists of long lead items, bills of materials, and ensure parts qualifications for space. Conduct and review circuit simulations (using tools like SPICE, Hyperlynx, ADS, etc.) and various design analyses (e.g., worst-case scenarios, FMECA). Coordinate with various specialized teams (structural, thermal, packaging, manufacturing, quality assurance, etc.) to conduct necessary reviews for PCB component placement and layout. Oversee board assembly and manufacturing tests. Prepare and review various documents, including review presentations, test plans, test procedures, etc. Lead and guide junior team members in testing, troubleshooting, and debugging complex mixed-signal boards. Provide support for environmental and functional tests and validation for space missions. Report progress and address issues to the program lead or manager. Required Qualifications: Bachelor’s degree in electrical engineering, computer engineering, or equivalent field. Minimum of seven (7) years of experience in designing processor, digital, analog, high-speed, or mixed-signal PCBs. Demonstrated expertise in at least one of these areas of competence. Proficiency in coaching and supervising junior team members and interns. Experience in design architecture and handling multidisciplinary specifications and reviews (FPGA, software, mechanical, etc.). Proficiency in tools/software languages such as Excel spreadsheets, Python, MathCAD, Spice, Matlab, JIRA, etc. Strong understanding of electronic circuits and communication protocols, coupled with extensive PCB design experience. Knowledge of PCB manufacturing processes. Exposure to mechanical packaging is a valuable asset. Experience conducting analyses (FMECA, WCA, signal integrity, power integrity, etc.) using various tools like SPICE, ADS SiPro, Hyperlynx, etc.