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Quesscorp Manpower Supply Services Llc

Senior AI Engineer (5 positions)<ul><li>Role Definition: Hands-on development of the AI agents and conversational systems that form the core of Aura. These engineers will be responsible for prompt engineering, building and fine-tuning agentic workflows, and integrating with various data sources and service APIs (e.g., EMRs, scheduling systems, lab results).</li><li>Capabilities: Proficient in Python and AI/ML frameworks. Demonstrable experience building multi-agent and/or complex RAG-based systems for real-world applications within a healthcare context. Expertise in working with Vector DBs and third-party APIs.</li></ul><div><div style="">Role: Data Engineer</div><div style="">Industry Type: Software Product</div><div style="">Department: Engineering - Software &amp; QA</div><div style="">Employment Type: Full Time, Permanent</div><div style="">Role Category: Software Development</div><div style="">Education</div><div style="">UG: Any Graduate</div></div>

Senior Artificial Intelligence Engineer

Mogi I/O

Job Title AI Engineer Rust and Repos (3 Months Contract) Remote Job Description AI Engineer Rust and Repos (3 Months Contract) Remote Role Summary We are seeking an experienced AI Engineer specializing in Rust and GitHub repository management for a 3-month remote contract. You will work on building and validating high-quality datasets for training and evaluating Large Language Models (LLMs) using real-world open-source projects. This role combines hands-on coding, environment setup, and AI-driven testing, offering a unique opportunity to work at the intersection of software engineering and artificial intelligence. Job Details Job Location: Remote (Dubai-based operations) Industry: Information Technology and Services Function: Software Engineering / Development Job Type: Contract (3 months, hourly-based, no paid leaves or benefits) Position Overview As an AI Engineer, you will collaborate with researchers to identify suitable GitHub repositories, configure execution environments, validate bug-fix performance, and support AI model testing. Strong expertise in Rust, CI/CD pipelines, and open-source workflows is essential. What You ll Do * Identify and triage trending GitHub issues suitable for AI model evaluation. * Set up and configure development environments using Docker and similar tools. * Evaluate and maintain code quality, functionality, and unit test coverage. * Modify and run repositories to test AI-driven bug fixes and improvements. * Work closely with AI researchers to select repositories for experimental use cases. * (Optional) Guide junior engineers and ensure timely delivery of project tasks. Ideal Profile * 3 4+ years of professional Rust development experience. * Strong understanding of Git, GitHub workflows, Docker, and CI/CD pipelines. * Hands-on experience debugging and running complex, real-world codebases locally. * Exposure to AI/ML workflows and interest in LLM applications is a plus. * Excellent problem-solving and communication skills, capable of working independently.

AI Engineer Rust and Repos (3 Months Contract) Remote

Glow Beauty On Demand

Job Title ML Platform Engineer Generative AI &amp; Machine Learning Infrastructure Job Description ML Platform Engineer Generative AI &amp; Machine Learning Infrastructure Location: Dubai, UAE Industry: Technology / AI / Food &amp; Q-commerce Function: Machine Learning Engineering Gender: Any Candidate Nationality: Any Job Type: Full-time Role Overview Talabat, the leading on-demand food and Q-commerce app in the region, is seeking an experienced ML Platform Engineer to design, develop, and scale robust machine learning and generative AI platforms. The role involves building end-to-end ML infrastructure, enabling fast experimentation, efficient model deployment, and seamless monitoring to support next-generation AI-driven solutions for millions of users. Key Responsibilities * Build scalable ML platforms supporting data ingestion, model training, deployment, and monitoring for both traditional ML and generative AI models * Design standardized ML workflows using tools like MLflow, Kubeflow, and implement CI/CD pipelines with Docker and Kubernetes * Optimize generative AI deployments involving transformers, embeddings, RAG systems, and vector databases such as Pinecone, Redis, or Weaviate * Implement real-time serving frameworks like TensorFlow Serving, NVIDIA Triton, or Seldon for production-grade inference * Automate model lifecycle management and implement observability measures to track performance, detect drift, and maintain reliability * Collaborate with data engineering and product teams to align ML infrastructure with strategic business goals * Drive cloud infrastructure integration using AWS or GCP services, including Kubernetes clusters, managed ML services, and serverless components * Ensure cost efficiency, performance optimization, and adherence to best practices for MLOps and generative AI workflows Qualifications and Experience * Bachelor s degree in Computer Science, Engineering, or related field (Master s preferred) * Minimum 3 years of experience in ML platform engineering, MLOps, or generative AI infrastructure roles * Expertise in Python, ML frameworks (TensorFlow, PyTorch), and APIs such as Hugging Face and LangChain * Hands-on experience with containerization, orchestration (Docker, Kubernetes), and infrastructure-as-code tools (Terraform, Helm) * Proven ability to build real-time inference pipelines integrated with feature stores and streaming platforms like Kafka or Kinesis * Familiarity with SQL for data processing and knowledge of observability tools for monitoring AI systems * Strong understanding of model optimization techniques including quantization, batching, and prompt-tuning strategies What We Offer * Opportunity to work on advanced ML and AI projects impacting millions of users in the Middle East * Competitive salary and benefits package * A collaborative, innovation-driven environment with cutting-edge tools and technologies * Career development in one of the fastest-growing tech ecosystems in the region

ML Platform Engineer Generative AI & Machine Learning

EDGE

Position Overview: We seeking a hands-on Ground System Integration Engineer to support the integration of unmanned aerial systems with specialty on the ground side. This role focuses on setting up and maintaining infrastructure required for UAV system operation   including network switches, routers, PCs, radios, and both Ethernet and serial communication interfaces.The engineer will also be responsible for setting up prototyping environments, assembling and configuring ground control stations. The ideal candidate is practical, detail-oriented, and comfortable working across hardware, networking, and IT support disciplines in a dynamic R&amp;D environment. Key Responsibilities: Set up and configure ground-side communication infrastructure including, LAN devices, Data links (RF), PCs both serial/Ethernet interfaces. Assemble and integrate ground control stations (GCS) and support test environments. Configure network settings such as IP configurations, VLANs, multicast routing, and firewall/NAT rules. Ensure connectivity and proper communication between UAV systems and ground control software. Perform hands-on troubleshooting of network, communication, and PC interface issues during testing and deployment. Manage software installations and support for Windows and Linux-based prototype environment. Maintain accurate documentation for hardware setup, network architecture, and configurations. Deal with general IT support for the team, including peripheral setup, connectivity, and system access issues, LAN management and software installation. Requirements: Diploma or Bachelor's degree in Computer Engineering, Electronics, or a related technical field. 2+ years of hands-on experience in system integration, IT/network support, or related roles. Solid understanding of Ethernet networking, IP configuration, routing, and serial communication. Comfortable working in both Windows and Linux environments. Strong troubleshooting skills for hardware and network issues. Experience with configuration and diagnostic tools such as Wireshark, ping, iperf, serial terminal software, etc. Nice to Have: Experience in UAVs, robotics, or embedded control systems. Exposure to video streaming protocols and multicast networking. Knowledge of scripting or automation for setup and configuration tasks. Basic understanding of RF systems or ground communication radios. Familiarity with industrial routers/switches.

Engineer System Integration

Thales

Location: Dubai, United Arab EmiratesIn fast changing markets, customers worldwide rely on Thales. Thales is a business where brilliant people from all over the world come together to share ideas and inspire each other. In aerospace, transportation, defence, security and space, our architects design innovative solutions that make our tomorrow's possible.Thales has built a presence in the United Arab Emirates for over 35 years, and today has over 300 employees. Thales in the UAE is part of our Middle East business that has 1,800 people across Egypt, Iraq, Kuwait, KSA, Lebanon, Oman, Pakistan, Qatar and UAE. Together we delivered technology for the Dubai metro, the longest driverless metro network in the world and a fare collection system that processes up to 250,000 transactions per day. We make UAE a safer place by providing secure electronic payment solutions, cyber security systems and communications as well as security systems for Dubai International Airport and air traffic management and navigation systems for Abu Dhabi s airport.JOB OBJECTIVE We are seeking a talented and enthusiastic AI/ML professional to join our team. This position is ideal for recent graduates or final year students in Computer Science or IT Engineering who are passionate about machine learning and artificial intelligence.The incumbent will play a key role in helping us define a solution to digitalize documents and develop a system capable of predicting qualifications based on database analysis.ROLES &amp; RESPONSIBILITIES Collaborate with senior officials to understand project requirements and goals.Assist in the development and implementation of a machine-learning model to process and digitalize various documents.Work on algorithms that analyze data from the digital documents to make predictions about qualifications.Perform data preprocessing and cleaning to ensure high-quality input for the machine learning models.Conduct experiments and evaluations to measure the effectiveness of different models and approaches.Document processes, methodologies, and findings for future reference and knowledge sharing.Present progress updates and findings to the team in a clear and concise manner.WORK EXPERIENCE REQUIREMENTS Solid understanding of machine learning concepts and algorithms.Experience with programming languages such as Python, R, or Java.Familiarity with machine learning frameworks and libraries such as TensorFlow, PyTorch, or scikit-learn.Knowledge of data preprocessing techniques and tools.Strong analytical and problem-solving skills.Excellent communication and teamwork abilities.Ability to learn quickly and adapt to new challenges.QUALIFICATION, CERTIFICATION &amp; EDUCATIONAL REQUIREMENTS Educational background in Computer Science, IT Engineering, or a related field.PREFERRED SKILLS Experience with natural language processing (NLP) and document digitalization.Understanding of database design and management.Familiarity with cloud services and deployment (AWS, Azure, GCP).Previous internship or project experience in AI/ML.HSE RESPONSIBILITIES*Ensure both your own safety and the safety of others at all times.Maintain an active role in achieving the objectives and adhering to the HSE Thales PolicyComply with local HSE laws and legislation.To use safety equipment (including PPE) as required and intended.Lead by example and actively encourage departments to look at ways to conserve water &amp; energy, minimise the generation of waste, and encourage recycling.Every one within Thales has the right to stop work if they believe that their activities may affect their health and safety or that of others. In this circumstance, such conditions must be reported immediately to their line manager and the HSE department.At Thales we provide CAREERS and not only jobs. With Thales employing 80,000 employees in 68 countries our mobility policy enables thousands of employees each year to develop their careers at home and abroad, in their existing areas of expertise or by branching out into new fields. Together we believe that embracing flexibility is a smarter way of working. Great journeys start here, apply now!

Graduate AI/ML Engineer - UAE National

JOB OBJECTIVE We are seeking a talented and enthusiastic AI/ML professional to join our team. This position is ideal for recent graduates or final year students in Computer Science or IT Engineering who are passionate about machine learning and artificial intelligence. The incumbent will play a key role in helping us define a solution to digitalize documents and develop a system capable of predicting qualifications based on database analysis. ROLES &amp; RESPONSIBILITIES <ul> <li>Collaborate with senior officials to understand project requirements and goals.</li> <li>Assist in the development and implementation of a machine-learning model to process and digitalize various documents.</li> <li>Work on algorithms that analyze data from the digital documents to make predictions about qualifications.</li> <li>Perform data preprocessing and cleaning to ensure high-quality input for the machine learning models.</li> <li>Conduct experiments and evaluations to measure the effectiveness of different models and approaches.</li> <li>Document processes, methodologies, and findings for future reference and knowledge sharing.</li> <li>Present progress updates and findings to the team in a clear and concise manner.</li> </ul> WORK EXPERIENCE REQUIREMENTS <ul> <li>Solid understanding of machine learning concepts and algorithms.</li> <li>Experience with programming languages such as Python, R, or Java.</li> <li>Familiarity with machine learning frameworks and libraries such as TensorFlow, PyTorch, or scikit-learn.</li> <li>Knowledge of data preprocessing techniques and tools.</li> <li>Strong analytical and problem-solving skills.</li> <li>Excellent communication and teamwork abilities.</li> <li>Ability to learn quickly and adapt to new challenges.</li> </ul> QUALIFICATION, CERTIFICATION &amp; EDUCATIONAL REQUIREMENTS <ul> <li>Educational background in Computer Science, IT Engineering, or a related field.</li> </ul> PREFERRED SKILLS <ul> <li>Experience with natural language processing (NLP) and document digitalization.</li> <li>Understanding of database design and management.</li> <li>Familiarity with cloud services and deployment (AWS, Azure, GCP).</li> <li>Previous internship or project experience in AI/ML.</li> </ul> HSE RESPONSIBILITIES* <ul> <li>Ensure both your own safety and the safety of others at all times.</li> <li>Maintain an active role in achieving the objectives and adhering to the HSE Thales Policy</li> <li>Comply with local HSE laws and legislation.</li> <li>To use safety equipment (including PPE) as required and intended.</li> <li>Lead by example and actively encourage departments to look at ways to conserve water &amp; energy, minimise the generation of waste, and encourage recycling.</li> <li>Every one within Thales has the right to stop work if they believe that their activities may affect their health and safety or that of others. In this circumstance, such conditions must be reported immediately to their line manager and the HSE department.</li> </ul>

Graduate AI/ML Engineer

NAIS

About the Role:North American International School is seeking a creative and passionate STEAM Teacher to lead our Robotics Lab. The ideal candidate will inspire students to explore, innovate, and turn their ideas into reality through hands-on learning experiences.Key Responsibilities:Teach STEAM-based subjects with a focus on robotics and coding.Guide and prepare students for local and international competitions.Develop engaging, project-based lessons integrating science, technology, engineering, arts, and mathematics.Foster creativity, innovation, and teamwork in the classroom.Collaborate with the school&rsquo;s academic and innovation teams to support the development of the STEAM curriculum.Qualifications and Experience:Bachelor&rsquo;s or Master&rsquo;s degree in a relevant field (STEM / Education / Engineering preferred).Minimum 2 years of experience teaching or working in the STEAM/Robotics field.Strong knowledge of educational robotics platforms (e.g., LEGO, Arduino, VEX, or similar).Experience teaching coding (Scratch, Python, or equivalent).Excellent communication and classroom management skills.Why Join Us?Innovative and collaborative learning environment.Opportunity to lead robotics and innovation programs.Professional development opportunities within an international network.To Apply:Please send your updated CV to haseenaabdul@auschool.ae(Kindly mention &ldquo;STEAM Teacher Application&rdquo; in the subject line.)North American International School&ldquo;Inspiring students to innovate, create, and achieve excellence.&rdquo;Job Type: Full-timePay: AED4,500.00 - AED5,500.00 per month

STEAM Teacher – North American International School (Dubai)

Explore 3282+ Robotics software engineer in Dubai this October. Find roles across top companies and apply now to boost your career.