Sales Engineer Jobs - Dubai UAE

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Product Engineer based in United Arab Emirates.<br><br>This role offers the opportunity to build innovative products at the intersection of artificial intelligence, biotechnology, and decentralized science.<br><br>You will transform emerging AI capabilities into practical applications that help users explore complex health and biological data.<br><br>The position combines engineering execution, product thinking, and rapid experimentation to bring ideas from concept to deployed MVPs.<br><br>You will work closely with a technical team focused on advancing AI-driven research while owning the user-facing experiences that bring these systems to life.<br><br>This is an ideal opportunity for a versatile full-stack engineer who enjoys solving ambiguous problems and shipping impactful products quickly.<br><br>You will have significant autonomy, influence product direction, and contribute to technologies shaping the future of personalized health and scientific discovery.<br><br>Accountabilities<br><br>As a Product Engineer, you will be responsible for rapidly designing, building, and launching user-facing applications that connect advanced AI capabilities with real-world use cases. You will bridge the gap between complex technical systems and intuitive user experiences while driving product experimentation and delivery.<br><br>Build and deploy user-facing MVPs quickly, using an iterative approach to validate ideas and measure user value. Develop applications and product experiences that make AI-powered tools accessible and useful for end users. Create integrations and connectors for external data sources, including health platforms, electronic health records, and biological databases. Translate complex and non-deterministic AI outputs into clear, intuitive, and actionable user interfaces. Prototype new product concepts, test assumptions with users, and rapidly refine solutions based on feedback. Take ownership of application development while enabling the core technical team to focus on AI reasoning capabilities. Work across the full product lifecycle, from initial concept and architecture decisions to deployment and continuous improvement. Navigate technical uncertainty and build practical solutions when working with evolving technologies and incomplete requirements. Collaborate with technical and product stakeholders to identify opportunities and create meaningful user experiences.<br><br>Requirements<br><br>The ideal candidate is a product-minded full-stack engineer who enjoys building quickly, experimenting with new technologies, and solving complex user problems. You should combine strong engineering skills with curiosity, creativity, and a focus on delivering products that create real value.<br><br>Proven experience building and launching products that are actively used by customers or end users. Strong full-stack engineering capabilities with a particular focus on frontend development and user experience. Ability to rapidly prototype, iterate, and deliver production-ready applications. Experience integrating with complex, inconsistent, or undocumented APIs and external data sources. Strong product intuition with a focus on solving user needs rather than purely technical challenges. Comfortable working in ambiguous environments with changing priorities and rapid iteration cycles. Ability to translate technical concepts into simple, intuitive user experiences. Experience building interfaces for AI or machine learning systems is a plus. Familiarity with healthcare APIs, health data platforms, fitness tracking systems, or personal analytics tools is valued. Strong interest in biology, health technology, AI, or emerging scientific applications is a plus. Background in design or strong UI/UX skills is beneficial.<br><br>Benefits<br><br>Fully remote work environment with flexibility to work from anywhere. High level of autonomy and ownership over products from concept through launch. Opportunity to work at the intersection of AI, biotechnology, and decentralized science. Competitive compensation package including token and/or equity components. Ability to build innovative applications with direct impact on scientific research and personal health. Collaborative environment focused on experimentation, learning, and rapid execution. Opportunity to work with cutting-edge AI technologies and emerging data ecosystems.<br><br>How Jobgether Works<br><br>We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.<br><br>We appreciate your interest and wish you the best!<br><br> Why Apply Through Jobgether?<br><br>Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.<br><br>We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

we seeking a SOC engineer to lead incident response efforts, mentor junior analysts, and strengthen our security monitoring capabilities.<br>Requirements:4+ years of experience in a SOC or security operations environment Deep knowledge of networking, endpoint security, and OS internals (Windows/Linux) Hands-on experience with SIEM platforms (Splunk, QRadar, Sentinel) and EDR tools (Crowd Strike, Defender, Sentinel One) Strong understanding of the MITRE ATT&CK framework and threat modeling Experience with scripting/automation (Python, Power Shell) for detection or response tasks Proven incident response experience, including containment and remediation Excellent written and verbal communication for reporting to technical and non-technical stakeholders Ability to work under pressure during active incidents<br>Preferred:Certifications such as GCIH, GCIA, CySA+, or OSCPExperience with cloud security monitoring (AWS, Azure, GCP) Familiarity with threat intelligence platforms and IOC management Prior experience mentoring or leading a small team

Role: Software Engineer - Evaluation (Remote) Location: Remote (Work from Anywhere) Job Type: Part-Time Payout: Competitive, based on experience<br>Role Overview:We are hiring for one of our clients, seeking a Senior Software Engineer – Go (LLM Evaluation & Repository Validation) to work on a part-time basis. The project involves building LLM evaluation and training datasets to train models on realistic software engineering problems. This includes developing verifiable software engineering tasks based on public repository histories using a synthetic approach with human-in-the-loop input.<br>Key Responsibilities:• Analyze and triage Git Hub issues across trending open-source libraries to assess LLM performance.• Set up and configure code repositories, including Dockerization and environment setup for testing.• Evaluate unit test coverage and quality across complex codebases.• Modify and run codebases locally to assess how LLMs perform in bug-fixing scenarios.• Collaborate with researchers to design and identify repositories and issues that challenge LLMs.<br>Required Skills & Qualifications:• Minimum 3+ years of overall software engineering experience.• Strong proficiency in Go and familiarity with Git, Docker, and basic software pipeline setup.• Ability to understand and navigate complex codebases efficiently.• Experience running, modifying, and testing real-world projects locally.• Comfortable contributing to or evaluating open-source projects.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the technology industry, contributing to the advancement of AI-assisted software development. The position blends practical software engineering with AI research, enabling hands-on impact in evaluating LLMs against real-world coding challenges.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!

We are hiring for HSE Engineer position, in Abu Dhabi.<br>Responsibilities : 1. Strong knowledge of HSE legislation, standards, and EPC project practices.2. Experience in hazard identification, risk assessment, and control measures.3. Familiarity with construction safety (scaffolding, excavation, lifting, confined space, hot works).4. Good communication and leadership skills to influence contractors and multicultural workforces. 5. Proficiency in incident investigation techniques (e.g., root cause analysis).6. Experience in offshore projects in GCC & other locations is preferred, but not essential.7. Project work experience related to ADNOC Group Companies would be advantageous.<br>Required Qualifications & Skills: 1. Bachelor’s degree or Diploma in Engineering OR Bachelor Degree in relevant Science OR HSE discipline (from an institution of higher learning authorized to grant academic degrees in the country of issue).2. Minimum one of the following:• NEBOSH IGC or Equivalent (Subject to approval by ADNOC Group)• Any other HSE certifications (considered at ADNOC Group discretion)3. Mandatory:• Lead auditor ISO 45001/ ISO 14001 or equivalent.• Incident Investigation techniques.4. Additional HSE Trainings / Certifications will be added advantage.5. Minimum 8-10 years’ experience in HSE in construction, fabrication, installation and/or commissioning projects / operations in the oil & gas or petrochemical industries.6. Have strong understanding of the HSE issues, practices and behavioral aspects in the Oil & Gas EPC business.7. Able to lead a team of HSE personnel such as HSE officers, hygiene officers etc.8. Sound understanding of the HSE Management System and HSE legislative requirements.

Responsibilities<br><br>AI & ML Engineering<br><br>Develop, deploy, and optimize machine learning and deep learning models. Build AI solutions for NLP, computer vision, predictive analytics, and intelligent automation. Integrate AI services into enterprise applications and internal platforms.<br><br>Generative AI<br><br>Develop LLM-based applications, AI copilots, and RAG solutions. Implement prompt engineering, model evaluation, embeddings, and semantic search. Optimize model performance, scalability, and cost.<br><br>Agentic AI<br><br>Design and deploy autonomous and multi-agent AI systems. Develop agent orchestration, planning, reasoning, memory, and tool integration. Implement human-in-the-loop approvals and enterprise workflow automation.<br><br>AI Operations (MLOps / LLMOps / Agent Ops)<br><br>Build CI/CD pipelines for AI models and agents. Monitor AI systems for performance, drift, hallucinations, security, and reliability. Manage model versioning, deployment, observability, and lifecycle operations.<br><br>AI Governance & Responsible AI<br><br>Implement AI governance, model risk management, and Responsible AI practices. Maintain model documentation, validation, audit readiness, and compliance. Ensure fairness, traceability, maintainability, privacy, and regulatory adherence.<br><br>Agent Governance & Security<br><br>Govern AI agent lifecycle, identity, access, and runtime controls. Implement guardrails, audit logging, and secure integration with enterprise systems. Protect AI solutions against prompt injection, data leakage, and adversarial attacks.<br><br>Collaboration<br><br>Work with business, engineering, security, and architecture teams to deliver AI solutions. Mentor team members and promote AI engineering standards and best practice<br><br>Technical Skills<br><br>AI & Machine Learning<br><br>Machine Learning, Deep Learning, NLP, Computer Vision Predictive Analytics, Feature Engineering, Model Optimization<br><br>Generative AI<br><br>Large Language Models (LLMs) Retrieval-Augmented Generation (RAG) Prompt Engineering Embeddings and Semantic Search Fine-tuning Foundation Models<br><br>Agentic AI<br><br>Autonomous and Multi-Agent Systems Agent Orchestration Planning and Reasoning Memory Management Tool Calling Human-in-the-Loop (HITL) Model Context Protocol (MCP)<br><br>Frameworks & Libraries<br><br>PyTorch Tensor Flow Scikit-learn Hugging Face Lang Chain Lang Graph Llama Index Auto Gen Crew AISemantic Kernel<br><br>Cloud & Infrastructure<br><br>Microsoft Azure AI Foundry Azure Machine Learning AWS Bedrock Amazon Sage Maker Google Vertex AIDocker Kubernetes Terraform<br><br>Data & Integration<br><br>SQLPostgre SQLMongo DBApache Spark Vector Databases REST APIsFast API<br><br>AI Operations<br><br>MLflow Kubeflow Azure ML Pipelines Git Hub Actions Azure Dev Ops<br><br>AI Monitoring & Observability

Role: Mandarin Audio Engineer (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: $20 - $40/hour<br>Role Overview:We are hiring for one of our clients, seeking a Mandarin Audio Recording Expert to work on a contract basis. The role involves recording high-quality Mandarin audio files for AI training datasets. Candidates must have native-level proficiency in Mandarin and prior experience in audio recording.<br>Key Responsibilities:• Record clear, accurate Mandarin audio content following provided scripts and guidelines.• Ensure audio quality meets technical standards for AI model training.• Maintain consistent pronunciation, tone, and pacing throughout recordings.• Follow project-specific instructions for file naming, formatting, and delivery.• Work independently with minimal supervision to meet daily recording targets.<br>Required Skills & Qualifications:• Native fluency in Mandarin (both spoken and written).• Prior experience in professional audio recording or voice-over work.• Strong attention to detail and ability to follow precise instructions.• Access to a quiet recording environment with professional-grade equipment.• Ability to meet deadlines and deliver consistent output.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Technology, Information and Internet industry, contributing to advancements in AI-powered language models. The project supports cutting-edge natural language processing applications.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!

Role: Software Engineer - Cloud (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: $100 - $230/hour<br>Role Overview:We are hiring for one of our clients, seeking a Senior Software Engineer to work on a contract basis. The role involves designing, developing, and maintaining software systems to support platform operations. Candidates will collaborate with cross-functional teams to deliver scalable solutions.<br>Key Responsibilities:• Design, implement, and optimize software solutions for platform performance and scalability.• Lead code reviews and provide technical guidance to junior engineers.• Debug and resolve complex technical issues across distributed systems.• Develop and maintain APIs, microservices, and backend infrastructure.• Ensure code quality through testing, documentation, and adherence to best practices.<br>Required Skills & Qualifications:• Proficiency in multiple programming languages including Python, Java, or Go.• Experience with cloud platforms such as AWS, GCP, or Azure.• Strong understanding of data structures, algorithms, and system design.• Familiarity with containerization tools like Docker and orchestration with Kubernetes.• Ability to work independently in a remote environment with minimal supervision.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Technology, Information and Internet industry, contributing to the development of a cutting-edge platform. The project involves building scalable infrastructure to support high-traffic applications.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!

We’re Hiring – Technical & Training Engineer | Immediate Opportunity <br>ME Integra is expanding our technical team and we are looking for a talented Technical & Training Engineer with strong expertise in Building Automation, Home Automation, KNX, and BMS. If you have experience in system integration, automation programming, commissioning, troubleshooting, and technical training, we would like to hear from you.<br>Key Requirements:✅ 7+ years of experience in Building & Home Automation✅ Strong knowledge of KNX, BMS, and Building Automation Systems✅ Hands-on experience in programming, integration, testing & commissioning✅ Experience with KNX, BACnet, Modbus, HVAC & Lighting Control Systems✅ Ability to provide technical support and training to customers and partners✅ Knowledge of Java and Python will be an added advantage✅ KNX Certification is preferred???? Location: Dubai, UAE???? Interested candidates can share their CV at:abin@meintegra.aeadmin@meintegra.aeaccounts@meintegra.ae

Databricks Platform Lead (AWS)<br>Location: UAE and Saudi arabia, Europe<br>About the Role We are looking for a Senior Databricks Platform Lead to design, build, and manage an enterprise Databricks Lakehouse platform on AWS. This is a hands-on technical leadership role where you will define the platform architecture, improve security, optimize cloud costs, mentor engineers, and work closely with business and technical teams. Key Responsibilities Design and maintain the Databricks Lakehouse platform on AWS. Build secure, scalable, and high-performance data platform architecture. Manage AWS infrastructure including VPC, IAM, EC2, S3, networking, and security. Configure and administer Databricks workspaces, Unity Catalog, clusters, and permissions. Develop standards for data ingestion, transformation, and orchestration using PySpark and Delta Lake. Build and support batch and streaming data pipelines using Databricks, Kinesis, SNS/SQS, and Auto Loader. Create cluster policies, autoscaling, and cost controls to optimize cloud spending. Monitor platform health, audit logs, security, and performance. Support ML workloads using MLflow and integrations with Sage Maker or AWS Bedrock. Lead migration of legacy data warehouses and on-premise platforms to Databricks Lakehouse. Mentor engineering teams, review designs, and establish coding best practices. Work closely with business stakeholders and AWS teams to deliver platform improvements. Required Skills Strong experience with Databricks Platform Administration and development. Deep knowledge of AWS including VPC, IAM, EC2, S3, Private Link, and networking. Hands-on experience with Unity Catalog, SCIM, and data governance. Strong PySpark and Delta Lake development experience. Experience building large-scale ETL/ELT and streaming data pipelines. Knowledge of Kinesis, SNS, SQS, Glue, and AWS DMS. Experience managing Databricks clusters, autoscaling, and cloud cost optimization. Experience migrating legacy data platforms to cloud-based Lakehouse architecture. Strong leadership, mentoring, and stakeholder management skills. Nice to Have MLflow, Sage Maker, or AWS Bedrock experience. Databricks Certification. AWS Solutions Architect or AWS Data Analytics certification. Experience with SOC 2 or similar security compliance standards.

Cloud Architect / Cloud Engineer (AWS / Azure / Dev Ops / Infrastructure) Role Description We are seeking a Cloud Architect / Cloud Engineer (AWS / Azure / Dev Ops / Infrastructure) to design, implement, and optimize cloud-based infrastructure and solutions that support business objectives, digital transformation initiatives, and operational excellence. This role is responsible for architecting secure, scalable, and resilient cloud environments while ensuring high availability, performance, and cost efficiency across cloud platforms and infrastructure services. The successful candidate will collaborate closely with software engineers, Dev Ops teams, cybersecurity specialists, system administrators, and cross-functional stakeholders to deliver innovative and reliable cloud solutions. You will evaluate business and technical requirements, design cloud architectures, and implement infrastructure strategies that align with organizational goals, scalability requirements, and security standards. Key responsibilities include designing, deploying, and managing cloud infrastructure across platforms such as Amazon Web Services (AWS), Microsoft Azure, and other cloud ecosystems. You will develop and maintain cloud architectures that support business continuity, disaster recovery, and operational resilience while optimizing cloud resource utilization and infrastructure performance. The role also involves implementing Dev Ops practices and infrastructure automation initiatives to streamline software delivery and infrastructure management processes. You will design and maintain CI/CD pipelines, automate infrastructure provisioning using Infrastructure as Code (IaC) methodologies, and support continuous integration and deployment activities across development, testing, and production environments. You will contribute to cloud migration and modernization initiatives by assessing existing systems, developing migration strategies, and implementing cloud-native solutions that improve scalability, reliability, and operational efficiency. In addition, you will support containerization and orchestration technologies to facilitate modern application deployment and management practices within cloud environments. This position requires close collaboration with multidisciplinary teams to monitor cloud infrastructure, optimize system performance, and implement cloud governance and security best practices. You will manage cloud resources, monitor infrastructure health, troubleshoot technical issues, and support incident response and operational improvement initiatives where necessary. You will identify opportunities for infrastructure optimization, cloud cost management, and process enhancements while staying current with emerging cloud technologies, industry trends, and best practices. Success in this role requires strong technical expertise, analytical thinking, problem-solving capabilities, and the ability to manage multiple cloud initiatives within dynamic technology environments. This position offers the opportunity to contribute to cutting-edge cloud initiatives by building scalable, secure, and future-ready cloud infrastructures that support sustainable business growth and accelerate digital transformation efforts across the organization.<br><br>Qualifications Bachelor's degree or Professional Qualification in Computer Science, Information Technology, Cloud Computing, Software Engineering, Computer Engineering, or a related discipline. Strong understanding of cloud computing principles, cloud architecture design, and infrastructure management practices. Proficiency in cloud platforms such as Amazon Web Services (AWS), Microsoft Azure, or equivalent cloud service providers. Knowledge of Dev Ops methodologies, CI/CD pipelines, and infrastructure automation practices. Familiarity with Infrastructure as Code (IaC) tools such as Terraform, AWS Cloud Formation, Ansible, or equivalent technologies. Understanding of containerization and orchestration technologies, including Docker, Kubernetes, and cloud-native deployment practices. Knowledge of cloud networking concepts, including virtual networks, load balancing, DNS management, and network security principles. Familiarity with cloud migration strategies, hybrid cloud architectures, and multi-cloud environments is advantageous. Understanding of cloud security best practices, identity and access management (IAM), compliance requirements, and governance frameworks. Proficiency in scripting and programming languages such as Python, Bash, Power Shell, or equivalent technologies for automation purposes. Familiarity with monitoring and logging tools for cloud infrastructure performance, observability, and operational visibility. Knowledge of Linux and Windows server administration within cloud environments is preferred. Understanding of cost optimization strategies, resource allocation practices, and cloud operational management methodologies. Ability to prepare cloud architecture diagrams, technical specifications, infrastructure documentation, and deployment plans accurately and professionally. Strong analytical thinking, technical problem-solving, and decision-making skills with excellent attention to detail. Excellent communication and interpersonal skills with the ability to collaborate effectively with multidisciplinary technical and business teams. Strong organizational and time management skills with the ability to manage multiple cloud initiatives and infrastructure priorities effectively. Commitment to continuous learning, technological innovation, and professional development within the cloud computing and Dev Ops domain. Professional, proactive, and results-oriented mindset with strong accountability, collaboration, and commitment to engineering excellence. Passion for designing scalable, secure, and high-performing cloud solutions that create long-term business value and technological impact.

Databricks Platform Lead (AWS)<br>Location: UAE and Saudi arabia, Europe<br>About the Role We are looking for a Senior Databricks Platform Lead to design, build, and manage an enterprise Databricks Lakehouse platform on AWS. This is a hands-on technical leadership role where you will define the platform architecture, improve security, optimize cloud costs, mentor engineers, and work closely with business and technical teams. Key Responsibilities Design and maintain the Databricks Lakehouse platform on AWS. Build secure, scalable, and high-performance data platform architecture. Manage AWS infrastructure including VPC, IAM, EC2, S3, networking, and security. Configure and administer Databricks workspaces, Unity Catalog, clusters, and permissions. Develop standards for data ingestion, transformation, and orchestration using PySpark and Delta Lake. Build and support batch and streaming data pipelines using Databricks, Kinesis, SNS/SQS, and Auto Loader. Create cluster policies, autoscaling, and cost controls to optimize cloud spending. Monitor platform health, audit logs, security, and performance. Support ML workloads using MLflow and integrations with Sage Maker or AWS Bedrock. Lead migration of legacy data warehouses and on-premise platforms to Databricks Lakehouse. Mentor engineering teams, review designs, and establish coding best practices. Work closely with business stakeholders and AWS teams to deliver platform improvements. Required Skills Strong experience with Databricks Platform Administration and development. Deep knowledge of AWS including VPC, IAM, EC2, S3, Private Link, and networking. Hands-on experience with Unity Catalog, SCIM, and data governance. Strong PySpark and Delta Lake development experience. Experience building large-scale ETL/ELT and streaming data pipelines. Knowledge of Kinesis, SNS, SQS, Glue, and AWS DMS. Experience managing Databricks clusters, autoscaling, and cloud cost optimization. Experience migrating legacy data platforms to cloud-based Lakehouse architecture. Strong leadership, mentoring, and stakeholder management skills. Nice to Have MLflow, Sage Maker, or AWS Bedrock experience. Databricks Certification. AWS Solutions Architect or AWS Data Analytics certification. Experience with SOC 2 or similar security compliance standards.

We’re Hiring – Technical & Training Engineer | Immediate Opportunity <br>ME Integra is expanding our technical team and we are looking for a talented Technical & Training Engineer with strong expertise in Building Automation, Home Automation, KNX, and BMS. If you have experience in system integration, automation programming, commissioning, troubleshooting, and technical training, we would like to hear from you.<br>Key Requirements:✅ 7+ years of experience in Building & Home Automation✅ Strong knowledge of KNX, BMS, and Building Automation Systems✅ Hands-on experience in programming, integration, testing & commissioning✅ Experience with KNX, BACnet, Modbus, HVAC & Lighting Control Systems✅ Ability to provide technical support and training to customers and partners✅ Knowledge of Java and Python will be an added advantage✅ KNX Certification is preferred???? Location: Dubai, UAE???? Interested candidates can share their CV at:abin@meintegra.aeadmin@meintegra.aeaccounts@meintegra.ae

Cloud Architect / Cloud Engineer (AWS / Azure / Dev Ops / Infrastructure) Role Description We are seeking a Cloud Architect / Cloud Engineer (AWS / Azure / Dev Ops / Infrastructure) to design, implement, and optimize cloud-based infrastructure and solutions that support business objectives, digital transformation initiatives, and operational excellence. This role is responsible for architecting secure, scalable, and resilient cloud environments while ensuring high availability, performance, and cost efficiency across cloud platforms and infrastructure services. The successful candidate will collaborate closely with software engineers, Dev Ops teams, cybersecurity specialists, system administrators, and cross-functional stakeholders to deliver innovative and reliable cloud solutions. You will evaluate business and technical requirements, design cloud architectures, and implement infrastructure strategies that align with organizational goals, scalability requirements, and security standards. Key responsibilities include designing, deploying, and managing cloud infrastructure across platforms such as Amazon Web Services (AWS), Microsoft Azure, and other cloud ecosystems. You will develop and maintain cloud architectures that support business continuity, disaster recovery, and operational resilience while optimizing cloud resource utilization and infrastructure performance. The role also involves implementing Dev Ops practices and infrastructure automation initiatives to streamline software delivery and infrastructure management processes. You will design and maintain CI/CD pipelines, automate infrastructure provisioning using Infrastructure as Code (IaC) methodologies, and support continuous integration and deployment activities across development, testing, and production environments. You will contribute to cloud migration and modernization initiatives by assessing existing systems, developing migration strategies, and implementing cloud-native solutions that improve scalability, reliability, and operational efficiency. In addition, you will support containerization and orchestration technologies to facilitate modern application deployment and management practices within cloud environments. This position requires close collaboration with multidisciplinary teams to monitor cloud infrastructure, optimize system performance, and implement cloud governance and security best practices. You will manage cloud resources, monitor infrastructure health, troubleshoot technical issues, and support incident response and operational improvement initiatives where necessary. You will identify opportunities for infrastructure optimization, cloud cost management, and process enhancements while staying current with emerging cloud technologies, industry trends, and best practices. Success in this role requires strong technical expertise, analytical thinking, problem-solving capabilities, and the ability to manage multiple cloud initiatives within dynamic technology environments. This position offers the opportunity to contribute to cutting-edge cloud initiatives by building scalable, secure, and future-ready cloud infrastructures that support sustainable business growth and accelerate digital transformation efforts across the organization.<br><br>Qualifications Bachelor's degree or Professional Qualification in Computer Science, Information Technology, Cloud Computing, Software Engineering, Computer Engineering, or a related discipline. Strong understanding of cloud computing principles, cloud architecture design, and infrastructure management practices. Proficiency in cloud platforms such as Amazon Web Services (AWS), Microsoft Azure, or equivalent cloud service providers. Knowledge of Dev Ops methodologies, CI/CD pipelines, and infrastructure automation practices. Familiarity with Infrastructure as Code (IaC) tools such as Terraform, AWS Cloud Formation, Ansible, or equivalent technologies. Understanding of containerization and orchestration technologies, including Docker, Kubernetes, and cloud-native deployment practices. Knowledge of cloud networking concepts, including virtual networks, load balancing, DNS management, and network security principles. Familiarity with cloud migration strategies, hybrid cloud architectures, and multi-cloud environments is advantageous. Understanding of cloud security best practices, identity and access management (IAM), compliance requirements, and governance frameworks. Proficiency in scripting and programming languages such as Python, Bash, Power Shell, or equivalent technologies for automation purposes. Familiarity with monitoring and logging tools for cloud infrastructure performance, observability, and operational visibility. Knowledge of Linux and Windows server administration within cloud environments is preferred. Understanding of cost optimization strategies, resource allocation practices, and cloud operational management methodologies. Ability to prepare cloud architecture diagrams, technical specifications, infrastructure documentation, and deployment plans accurately and professionally. Strong analytical thinking, technical problem-solving, and decision-making skills with excellent attention to detail. Excellent communication and interpersonal skills with the ability to collaborate effectively with multidisciplinary technical and business teams. Strong organizational and time management skills with the ability to manage multiple cloud initiatives and infrastructure priorities effectively. Commitment to continuous learning, technological innovation, and professional development within the cloud computing and Dev Ops domain. Professional, proactive, and results-oriented mindset with strong accountability, collaboration, and commitment to engineering excellence. Passion for designing scalable, secure, and high-performing cloud solutions that create long-term business value and technological impact.

Role: Data Engineer (Remote) Location: Remote (Work from Anywhere) Job Type: Part-Time Payout: Competitive, based on experience<br>Role Overview:We are hiring for one of our clients, seeking a SWE Bench – Data Engineer/Data Scientist to work on a part-time basis. This role involves hands-on work with production-like datasets, data pipelines, and data science tasks to help evaluate and improve the performance of advanced AI systems. The ideal candidate has strong foundations in data engineering and data science, with the ability to work across data preparation, analysis, and model-related workflows in real-world codebases.<br>Key Responsibilities:• Work with structured and unstructured datasets to support SWE bench-style evaluation tasks• Design, build, and validate data pipelines used in benchmarking and evaluation workflows• Perform data processing, analysis, feature preparation, and validation for data science use cases• Write, run, and modify Python code to process data and support experiments locally• Evaluate data quality, transformations, and outputs for correctness and reproducibility<br>Required Skills & Qualifications:• Minimum 3+ years of overall experience as a data engineer, data scientist, or software engineer (data-focused)• Strong proficiency in Python for data engineering and data science workflows• Demonstrated experience with data processing, analysis, and model-related workflows• Ability to design, build, and validate data pipelines for benchmarking and evaluation workflows• Experience with code reviews to ensure high standards of code quality and maintainability<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Research Services industry, contributing to the evaluation and improvement of advanced AI systems. Collaboration with researchers and engineers will focus on designing real-world data tasks for AI benchmarking.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!

Role: ML Engineer (Remote) Location: Remote (Work from Anywhere) Job Type: Part-Time Payout: Competitive, based on experience<br>Role Overview:We are hiring for one of our clients, seeking a MLE Bench – ML Engineers to work on a part-time basis. This role involves hands-on work with production-grade ML codebases, model training and evaluation pipelines, and deployment-oriented workflows to help assess and improve the capabilities of advanced AI systems. The ideal candidate is comfortable bridging research and engineering, working deeply with models, data, and infrastructure in realistic ML environments.<br>Key Responsibilities:• Work with real-world ML codebases to support MLE Bench–style evaluation tasks• Build, run, and modify model training, evaluation, and inference pipelines• Prepare datasets, features, and metrics for ML benchmarking and validation• Debug, refactor, and improve production-like ML systems for correctness and performance• Evaluate model behavior, failure modes, and edge cases relevant to benchmark tasks<br>Required Skills & Qualifications:• Minimum 3+ years of overall experience as a machine learning engineer or software engineer (ML-focused)• Strong proficiency in Python for machine learning and data workflows• Hands-on experience with model training, evaluation, and inference pipelines• Solid understanding of machine learning fundamentals (supervised/unsupervised learning, evaluation metrics, optimization)• Experience working with ML frameworks (e.g., PyTorch, Tensor Flow)<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Technology, Information and Internet industry, contributing to the development and evaluation of frontier AI systems. Candidates will collaborate with top AI researchers and engineers to design and solve challenging real-world ML engineering tasks.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!

Role: Software Engineer (Remote) Location: Remote (Work from Anywhere) Job Type: Part-Time Payout: Competitive, based on experience<br>Role Overview:We are hiring for one of our clients, seeking a Senior Software Engineer – C++ (LLM Evaluation & Repository Validation) to work on a part-time basis. The project involves building LLM evaluation and training datasets to train large language models on realistic software engineering problems. The role requires hands-on engineering work, including development environment automation, issue triaging, and evaluating test coverage and quality.<br>Key Responsibilities:• Analyze and triage Git Hub issues across trending open-source libraries.• Set up and configure code repositories, including Dockerization and environment setup.• Evaluate unit test coverage and quality in public repositories.• Modify and run codebases locally to assess LLM performance in bug-fixing scenarios.• Collaborate with researchers to design and identify repositories and issues that are challenging for LLMs.<br>Required Skills & Qualifications:• Minimum 3+ years of overall software engineering experience.• Strong proficiency in C++ and experience with Git, Docker, and basic software pipeline setup.• Ability to understand and navigate complex codebases comfortably.• Experience running, modifying, and testing real-world projects locally.• Experience contributing to or evaluating open-source projects is a plus.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Technology, Information and Internet industry, contributing to the advancement of AI-assisted software development. The work directly influences the future of how LLMs interact with real code.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!

Role: Electrical Engineer (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: $60 - $80/hour<br>Role Overview:We are hiring for one of our clients, seeking a contract Electrical Engineer to design, develop, and validate electrical systems for high-impact projects across multiple industries. The role involves end-to-end engineering execution from concept to deployment, ensuring compliance with industry standards and project specifications.<br>Key Responsibilities:• Design and simulate electrical circuits, power systems, and control systems using industry-standard tools and methodologies.• Develop and review electrical schematics, PCB layouts, and wiring diagrams in alignment with project requirements and safety regulations.• Perform failure mode analysis, root cause investigations, and corrective actions for electrical subsystems and components.• Collaborate with cross-functional teams including mechanical, software, and systems engineers to integrate electrical components into full product solutions.• Validate designs through prototyping, testing, and documentation, ensuring compliance with relevant certifications and regulatory frameworks.<br>Required Skills & Qualifications:• Bachelor’s degree in Electrical Engineering or related field, or equivalent practical experience in electrical system design and development.• Minimum 3 years of hands-on experience designing and troubleshooting analog and digital circuits, power distribution, and embedded systems.• Proficiency with CAD tools such as Altium, KiCad, or similar for schematic capture and PCB layout.• Experience with simulation tools like SPICE, MATLAB, or Simulink for modeling and analysis of electrical systems.• Familiarity with industry standards including IEC, UL, and IPC for electrical safety, testing, and manufacturing.• Strong problem-solving skills with the ability to diagnose and resolve complex electrical issues under tight deadlines.• Experience working in Agile or structured engineering environments with version control systems like Git.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the engineering services industry, contributing to the development of next-generation electrical systems for diverse applications. The position supports a high-growth contract portfolio in energy, automation, and consumer electronics sectors.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!

Role: Software Engineer (Remote) Location: Remote (Work from Anywhere) Job Type: Full-Time Payout: Competitive, based on experience<br>Role Overview:We are hiring for one of our clients, seeking a Software Engineer – AI Code Evaluation & Benchmarking (US candidates only) to work on a full-time basis. This role involves evaluating and benchmarking the coding capabilities of advanced AI models to ensure their accuracy, efficiency, and reliability. You will assess AI-generated code, validate solutions against real-world software engineering tasks, and identify correctness and quality issues.<br>Key Responsibilities:• Review and evaluate AI-generated code for correctness, efficiency, maintainability, and adherence to requirements.• Analyze software engineering tasks and validate whether proposed solutions meet expected outcomes.• Debug code, reproduce issues, and verify fixes across different programming environments.• Assess model-generated explanations, reasoning, and implementation approaches for technical accuracy.• Create, refine, and maintain evaluation datasets, benchmarks, and grading rubrics for coding tasks.<br>Required Skills & Qualifications:• Bachelor's or master's degree in computer science, software engineering, or a related technical field.• 3+ years of professional software engineering experience.• Strong proficiency in one or more programming languages, such as Python, Java, C/C++, Go, Swift, Objective-C, PHP, or SQL.• Strong understanding of data structures, algorithms, software design principles, and debugging methodologies.• Experience performing code review and identifying edge cases, failure modes, and areas where AI systems struggle with software engineering problems.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the AI industry, contributing to the advancement of large language models through high-quality human feedback and evaluation. The position is ideal for engineers who enjoy code review, debugging, problem-solving, and applying strong software engineering judgment to complex technical scenarios.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!

Role: Mechanical Engineer (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: $20 - $40/hour<br>Role Overview:The client seeks an Engineering Expert to provide specialized technical guidance for system architecture decisions, troubleshooting complex issues, and optimizing performance across distributed systems. The role requires deep expertise in multiple engineering domains to support critical infrastructure and product development initiatives.<br>Key Responsibilities:• Design and evaluate scalable system architectures to meet evolving business and technical requirements.• Diagnose and resolve high-priority technical issues in production environments with minimal downtime.• Develop and document engineering best practices, standards, and guidelines for cross-team adoption.• Collaborate with product, engineering, and operations teams to align technical solutions with business objectives.• Mentor junior engineers and conduct code reviews to ensure adherence to quality and security standards.<br>Required Skills & Qualifications:• Experience with distributed systems, microservices, or large-scale backend infrastructure.• Proficiency in at least one programming language such as Python, Java, Go, or Rust.• Strong problem-solving skills with a track record of resolving complex technical challenges.• Familiarity with cloud platforms (e.g., AWS, GCP, Azure) and containerization tools (e.g., Docker, Kubernetes).• Ability to write clear technical documentation and communicate architectural decisions effectively.<br>More About the Opportunity:This role offers the chance to work with a global leader in the Technology, Information and Internet industry, contributing to the scalability and reliability of mission-critical systems. The position provides exposure to cutting-edge technologies and the opportunity to shape technical strategy for high-impact projects.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!

Role: AWS Engineer - Cloud (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: $30 - $80/hour<br>Role Overview:We are hiring for one of our clients, seeking an AWS Engineer to design, deploy, and manage scalable cloud infrastructure supporting high-traffic applications. The role involves optimizing AWS services for performance, cost, and security while collaborating with cross-functional teams to implement solutions.<br>Key Responsibilities:• Design, configure, and maintain AWS infrastructure including EC2, S3, RDS, Lambda, and VPC.• Implement CI/CD pipelines using AWS Code Pipeline, Code Build, and Code Deploy for automated deployments.• Monitor system performance using Cloud Watch, Cloud Trail, and third-party tools to ensure uptime and reliability.• Troubleshoot and resolve incidents related to AWS services, networking, and security configurations.• Document infrastructure, processes, and best practices for team knowledge sharing and compliance.<br>Required Skills & Qualifications:• AWS Certified Solutions Architect or equivalent hands-on experience with AWS services.• Proficiency in Infrastructure as Code (IaC) using Terraform or AWS Cloud Formation.• Experience with Linux/Unix environments and shell scripting for automation tasks.• Knowledge of security best practices, IAM policies, and compliance frameworks.• Familiarity with containerization technologies such as Docker and Kubernetes on AWS.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Software Development | Technology, Information and Internet | IT Services and IT Consulting industry, contributing to the modernization of cloud infrastructure. The position supports scalable, high-performance systems critical to business operations.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!