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Klanik

<div>
 
 
 🚀
 
 Hiring: Machine Learning Engineer
 
 
 
 
 
 
 📍
 
 Location:
 
 Abu Dhabi, UAE
 
 
 
 
 
 We are looking for a talented
 
 Machine Learning Engineer
 
 to design, build, and deploy scalable machine learning models and AI solutions. This role combines model development, data engineering, and production deployment to deliver innovative, high-impact AI applications.
 
 
 
 
 
 🔹
 
 Key Responsibilities
 
 
 
 
 
 
 &bull; Model deployment using Docker, Kubernetes
 
 
 &bull; Model optimization (TensorRT, OpenVINO, ONNX, triton, sparsing, pruning)
 
 
 &bull; CI/CD pipelines for ML (Git, Jenkins, GitHub Actions)
 
 
 &bull; Integration with backend &amp; edge devices
 
 
 &bull; Performance tuning (latency, throughput, FPS)
 
 
 &bull; Monitoring model drift &amp; production performance
 
 
 &bull; Strong Python &amp; system design skills
 
 
 &bull; Experience with inference pipelines for video streams
 
 
 
 
 
 🔹
 
 Qualifications:
 
 
 
 
 
 
 Bachelor's or Master's degree in Computer Science, Machine Learning, Data Science, AI, or a related field.
 
 
 Additional qualifications, such as certifications or publications in the field of machine learning, are a plus
 
 
 
 
 
 🔹
 
 
 Years of Experience
 
 
 
 
 
 
 
 5 to 9 years of experience
 
 
 
 
 
 🔹
 
 
 Languages
 
 :
 
 
 
 
 
 
 &middot; English
 
 
 . Excellent communication, verbal and written skills.
 
 
 
 
 
 Are you looking for a great opportunity to be part of an amazing challenge with great development possibilities? This job is for you!
 
 
 
 
 
 
 
 About KLANIK:
 
 
 
 
 
 
 
 Klanik is an IT consulting company providing solutions to some of the world&rsquo;s largest industrial and services groups for 10 years.
 
 
 We support our clients with the creation and development of their new products and services around 4 main business lines:
 
 
 
 
 
 ➜ Information Technology and Systems (IT &amp; IS)
 
 
 ➜ DevOps and Cloud
 
 
 ➜ Big Data and AI
 
 
 ➜ Cybersecurity
 
 
 
 
 
 Klanik is a community of +500 passionate experts empowering clients in 6 countries throughout Europe, the Middle East, and the Americas. Our Team is dedicated to offering our global clients project support while guaranteeing a consistent level of service alongside a commitment to excellence and strong core values. We&rsquo;re always looking for smart, talented, driven, down-to-earth, fun-to-work-with people who want to make a positive and meaningful impact!
 
 
 
 
 
 
 
 Being a &ldquo;KLANIK&rdquo;
 
 
 
 
 
 
 
 That means being an out-of-the-box thinker, a precursor who is keen to create, innovate, and collaborate in an environment where you can enjoy being yourself and be valued for your ideas. It&rsquo;s being part of a community of experts who have a passion for and stay abreast of the latest technologies.Do you feel like a technology pioneer, full of creative ideas, supported by strong know-how and expertise in the latest technologies? We believe you could be a good fit to our culture!
 
 
 
 
 
 
 
 Our culture is our pride
 
 
 
 
 At Klanik, we believe that we are stronger together than we are alone. Trust, ethics, respect, and transparency are deeply fixed in our culture, alongside with the pride in a job well done.
 
 
 Our community motto is that people give the best of them when they feel listened to, respected and empowered to develop themselves. Therefore the better we treat our people, the bigger the success they will achieve. We apply those values on day to day basis among our teams, with our clients and even with our competitors.
 
 
 Being part of the Klanik community means relying on each other&rsquo;s, learning from each other&rsquo;s and growing all together. Our community fosters creativity, innovation and development within our teams to tackle more and more complex challenges and deliver the best solutions to our clients.
 
 
 
 
</div>

Machine Learning Engineer

ai71

<div>
 
 About AI71:
 
 
 
 AI71 is an industry leader in artificial intelligence, delivering innovative solutions that empower developers, businesses and governments to solve complex challenges. AI71 builds secure, enterprise-ready applications powered by cutting-edge technology&mdash;tailored for knowledge workers and sector-specific needs. AI71 bridges the gap between advanced AI and real-world impact. Guided by a strong commitment to research and responsibility, we create transformative solutions that drive progress and empower communities.
 
 
 
 The Role:
 
 
 
 As a Senior Machine Learning Engineer at AI71, you&rsquo;ll be responsible for developing, deploying, and optimizing machine learning models and systems that power our AI solutions. You will collaborate with cross-functional teams to translate business challenges into impactful AI products.
 
 
 
 What You'll Do:
 
 
 
 <ul>
 <li>
 Model Development: Develop, train, and deploy predictive models that enhance the capabilities of our AI solutions.
 </li>
 <li>
 AI Technologies: Work with state-of-the-art AI techniques, including Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG), and apply them to real-world business contexts.
 </li>
 <li>
 Cross-Functional Collaboration: Partner with business stakeholders to understand objectives and translate them into actionable machine learning tasks.
 </li>
 <li>
 Model Optimization: Continuously monitor, evaluate, and improve models based on real-world performance and evolving business needs.
 </li>
 <li>
 Data Pipeline Maintenance: Implement and manage robust data preprocessing pipelines to ensure high-quality, reliable input data for model development.
 
 
 </li>
 </ul>
 
 What You'll Bring:
 
 
 
 <ul>
 <li>
 8+ years of experience in AI, Machine Learning, Reinforcement Learning (RL), Data Science, or a related field.
 </li>
 <li>
 Proven experience with Large Language Models (LLMs) and fine-tuning techniques.
 </li>
 <li>
 Master&rsquo;s or Ph.D. in AI, Data Science, Computer Science, Statistics, or a related field.
 </li>
 <li>
 Strong proficiency in programming languages like Python or R. Preference for candidates with a competitive coding background (e.g., ACM/ICPC, NOI/IOI, Top Coder, Kaggle).
 </li>
 <li>
 Expertise in machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch), Generative AI technologies, and libraries like Langchain, Weaviate, Langgraph, LlamaIndex.
 </li>
 <li>
 Demonstrated success in applying data science and machine learning to solve real-world, business-critical problems.
 </li>
 <li>
 Excellent communication and collaboration skills with the ability to work across interdisciplinary teams.
 </li>
 <li>
 Family Book for UAE Nationals
 </li>
 <li>
 Strong communication, stakeholder management, and decision-making skills, with a passion for building diverse, inclusive engineering teams.
 
 
 </li>
 </ul>
 
 Why AI71:
 
 
 
 <ul>
 <li>
 
 Mission-Driven Work:
 
 Work on cutting-edge AI applications with a talented and passionate team, solving real-world challenges in critical sectors.
 </li>
 <li>
 
 Unparalleled Opportunity:
 
 This is a chance to innovate and solve real-world challenges using AI at a company with unique access to world-leading models and resources.
 </li>
 <li>
 
 Career Growth:
 
 We offer competitive compensation, benefits, and significant career growth opportunities as a foundational member of the team.
 </li>
 <li>
 
 World-Class Environment:
 
 Enjoy a flexible working environment and the latest tools &amp; technologies needed to do your best work.
 </li>
 </ul>
</div>

Jaheziya

<div>
 
 About The Role
 
 
 
 Design, deploy, and manage scalable AI platforms and MLOps pipelines, ensuring the performance, reliability, scalability, and security of AI systems throughout their lifecycle.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Design, deploy, and maintain scalable AI platforms and MLOps pipelines.
 </li>
 <li>
 Manage AI infrastructure, deployment, and CI/CD pipelines.
 </li>
 <li>
 Monitor AI systems and machine learning models to ensure performance, reliability, and availability.
 </li>
 <li>
 Ensure the scalability, security, and operational stability of AI platforms.
 </li>
 <li>
 Automate model deployment, monitoring, and lifecycle management.
 </li>
 <li>
 Collaborate with data scientists and software engineers to operate AI solutions.
 </li>
 <li>
 Troubleshoot and optimize AI infrastructure and production environments.
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or a related field.
 </li>
 <li>
 3&ndash;8 years of relevant experience in AI systems engineering, MLOps, or machine learning platform engineering.
 </li>
 <li>
 Strong experience with Python, Docker, Kubernetes, and cloud platforms.
 </li>
 <li>
 Experience with CI/CD pipelines and machine learning frameworks.
 </li>
 <li>
 Experience managing AI infrastructure and deploying machine learning solutions.
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience with Azure ML, AWS SageMaker, or Vertex AI.
 </li>
 <li>
 Experience with Terraform or other Infrastructure as Code (IaC) tools.
 </li>
 </ul>
</div>

AI Systems & Machine Learning Operations (MLOps) Engineer

<div>
 
 About The Role
 
 
 
 Design, deploy, and maintain scalable AI and machine learning systems that deliver secure, reliable, and high-performing AI solutions. Ensure efficient model serving, deployment, monitoring, and operational excellence across AI environments.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Design, deploy, and maintain scalable AI/ML systems and infrastructure.
 </li>
 <li>
 Develop and manage MLOps pipelines for automated model deployment and monitoring.
 </li>
 <li>
 Ensure the performance, reliability, security, and scalability of AI platforms.
 </li>
 <li>
 Deploy, serve, and optimize machine learning and generative AI models for production environments.
 </li>
 <li>
 Build and maintain CI/CD pipelines for AI applications.
 </li>
 <li>
 Manage containerized AI applications using Docker and Kubernetes.
 </li>
 <li>
 Collaborate with data scientists, software engineers, and business stakeholders to operationalize AI solutions.
 </li>
 <li>
 Monitor AI system performance, reliability, and availability, implementing continuous improvements.
 </li>
 <li>
 Troubleshoot production issues and optimize AI infrastructure.
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or a related field.
 </li>
 <li>
 3&ndash;8 years of experience in AI systems engineering, MLOps, or machine learning platform engineering.
 </li>
 <li>
 Strong programming skills in Python.
 </li>
 <li>
 Experience with cloud platforms such as Microsoft Azure, AWS, or Google Cloud Platform.
 </li>
 <li>
 Hands-on experience with Docker, Kubernetes, and containerized deployments.
 </li>
 <li>
 Experience designing and maintaining CI/CD pipelines.
 </li>
 <li>
 Knowledge of distributed systems and scalable AI infrastructure.
 </li>
 <li>
 Experience deploying and operationalizing machine learning and generative AI solutions.
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience with Azure Machine Learning, AWS SageMaker, or Google Vertex AI.
 </li>
 <li>
 Experience with Infrastructure as Code (Terraform or similar).
 </li>
 <li>
 Familiarity with AI monitoring, observability, and model lifecycle management.
 </li>
 <li>
 Relevant cloud or AI certifications.
 </li>
 </ul>
</div>

Artificial Intelligence (AI) & Machine Learning Engineer

TALENTMATE

<div>
 
 Job Description
 
 
 
 
 About The Role
 
 
 
 Design, deploy and support scalable AI platforms and MLOps pipelines that enable reliable machine learning solutions.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Design and maintain MLOps pipelines.
 </li>
 <li>
 Automate model deployment and monitoring.
 </li>
 <li>
 Manage AI infrastructure and CI/CD pipelines.
 </li>
 <li>
 Collaborate with data scientists and software engineers.
 </li>
 <li>
 Monitor model performance and optimise reliability.
 </li>
 <li>
 Ensure security and scalability of AI platforms.
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science, AI, Data Science or related field.
 </li>
 <li>
 3&ndash;8 years' relevant experience.
 </li>
 <li>
 Experience with Python, Docker, Kubernetes and cloud platforms.
 </li>
 <li>
 Knowledge of CI/CD and machine learning frameworks.
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience with Azure ML, AWS SageMaker or Vertex AI.
 </li>
 <li>
 Terraform or Infrastructure as Code experience.
 
 
 </li>
 </ul>
 Job Details
 
 
 Role Level: Not Applicable Work Type: Full-Time Country: United Arab Emirates City: Abu Dhabi Company Website: https://jaheziya.ae/ Job Function: DevOps &amp; QA Company Industry/
 
 
 Sector: Emergency and Relief Services
 
 
 What We Offer
 
 
 
 About The Company
 
 
 
 Searching, interviewing and hiring are all part of the professional life. The TALENTMATE Portal idea is to fill and help professionals doing one of them by bringing together the requisites under One Roof. Whether you're hunting for your Next Job Opportunity or Looking for Potential Employers, we're here to lend you a Helping Hand.
 
 
 Report
 
 
 Disclaimer: talentmate.com is only a platform to bring jobseekers &amp; employers together. Applicants are advised to research the bonafides of the prospective employer independently. We do NOT endorse any requests for money payments and strictly advice against sharing personal or bank related information. We also recommend you visit Security Advice for more information. If you suspect any fraud or malpractice, email us at abuse@talentmate.com.
</div>

AI Systems And Machine Learning Operations MLOps Engineer

Abu Dhabi Agriculture and Food Safety Authority ADAFSA

<div>
 
 
 About the Role
 
 
 
 We are seeking a highly skilled Expert in Bioinformatics &amp; AI to lead advanced computational analysis, machine learning model development, and genomic data interpretation. This role will support diagnostic innovation, pathogen surveillance, and AI-driven decision-making in a high-impact research and laboratory environment.
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Design and implement bioinformatics pipelines for sequencing and molecular diagnostics.
 </li>
 <li>
 Develop and deploy machine learning and deep learning models for pathogen detection and predictive analytics.
 </li>
 <li>
 Perform genomic analyses including variant calling, phylogenetics, and taxonomic classification.
 </li>
 <li>
 Establish validation frameworks and quality assurance for AI/ML models.
 </li>
 <li>
 Manage databases, HPC infrastructure, and cloud resources.
 </li>
 <li>
 Ensure data security, integrity, and regulatory compliance.
 </li>
 <li>
 Translate complex data insights into actionable outputs for scientific teams.
 </li>
 </ul>
 
 
 
 
 
 Qualifications &amp; Experience
 
 
 
 
 Minimum Requirements
 
 
 <ul>
 <li>
 Master&rsquo;s degree in Bioinformatics, Data Science, Computer Science, or related field.
 </li>
 <li>
 Minimum 5 years of experience in bioinformatics analysis.
 </li>
 <li>
 At least 2 years of experience in ML/DL model development in biological contexts.
 </li>
 <li>
 Experience in predictive modelling for diagnostics or outbreak response.
 </li>
 </ul>
 
 
 
 
 
 Preferred Qualifications
 
 
 <ul>
 <li>
 PhD in Bioinformatics, Genomics, or Machine Learning.
 </li>
 <li>
 Experience with regulatory frameworks (ISO, GLP, AI governance).
 </li>
 </ul>
 
 
 
 
 
 Skills &amp; Competencies
 
 
 
 
 Technical Skills
 
 
 <ul>
 <li>
 Programming: Python, R, Bash
 </li>
 <li>
 Bioinformatics tools and genomic databases
 </li>
 <li>
 Machine learning frameworks (TensorFlow, PyTorch, etc.)
 </li>
 </ul>
 
 
 
 
 
 Core Competencies
 
 
 <ul>
 <li>
 Analytical thinking and modelling rigor
 </li>
 <li>
 Problem-solving and troubleshooting
 </li>
 <li>
 Effective communication of complex data
 </li>
 </ul>
 
 
 
 
 
 Why Join Us
 
 
 <ul>
 <li>
 Work at the intersection of AI and life sciences
 </li>
 <li>
 Contribute to cutting-edge genomic and diagnostic innovation
 </li>
 <li>
 Be part of a high-performance, research-driven environment.
 </li>
 </ul>
</div>

Expert in Bioinformatics & AI (خبير المعلوماتية الحيوية)

Saal.ai

<div>
 
 
 Job Purpose
 
 
 
 As a Data Scientist at SAAL.ai, you will apply machine learning and deep learning techniques to solve real-world business problems across numeric and text-based analytics. You will work across the full data science lifecycle&mdash;from data acquisition and feature engineering to model development and deployment&mdash;collaborating closely with engineering, product, and DevOps teams to deliver customer-centric AI solutions.
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Develop and deliver high-quality machine learning and deep learning models across a broad range of analytics use cases.
 </li>
 <li>
 Understand the practical scope and constraints of AI models within products and apply appropriate modeling techniques to ensure business relevance and technical robustness.
 </li>
 <li>
 Acquire data from diverse sources, performing data exploration and preprocessing on structured and unstructured datasets, conducting feature engineering, evaluating algorithms and architectures, and iteratively refining models to improve performance.
 </li>
 <li>
 Identify valuable data sources and automate data collection and preparation processes where possible.
 </li>
 <li>
 Build, fine-tune, and maintain machine learning pipelines, integrate algorithms and packages into the platform, and contribute new models to the platform marketplace.
 </li>
 <li>
 Collaborate closely with engineering and DevOps teams to support model deployment and operationalization.
 </li>
 <li>
 Contribute to applied research activities, propose data-driven solutions to business challenges, and work with product, support, and client-facing teams to ensure successful rollout of AI solutions into trials and general availability.
 </li>
 </ul>
 
 
 
 
 
 Key Skills
 
 
 <ul>
 <li>
 Strong foundation in the theory and applied practice of machine learning and deep learning. Experience developing pipelines for structured and unstructured data.
 </li>
 <li>
 Hands-on experience with deep learning frameworks such as TensorFlow and PyTorch, and machine learning libraries such as scikit-learn.
 </li>
 <li>
 Proficiency in Python, with working knowledge of Java or R.
 </li>
 <li>
 Experience developing and exposing models through RESTful APIs and containerized deployments using Docker.
 </li>
 <li>
 Strong coding practices, including appropriate use of data structures and clean, maintainable code.
 </li>
 <li>
 Applied experience in NLP, including the use of transformer-based models and libraries such as Hugging Face, spaCy, or Gensim. Familiarity with SQL, Pandas, Apache Spark, and data processing at scale.
 </li>
 <li>
 Experience using ML lifecycle tools such as MLflow.
 </li>
 <li>
 Strong analytical thinking, communication skills, and the ability to present technical concepts clearly to internal and external stakeholders.
 </li>
 <li>
 Ability to work collaboratively across multidisciplinary teams.
 </li>
 </ul>
 
 
 
 
 
 Desirable Skills
 
 
 
 Experience working with large language models (LLMs), including offline deployment scenarios. Exposure to cloud-based environments (AWS, GCP, Azure). Experience with data visualization tools and collaborative environments such as Jupyter Notebooks and Git-based workflows. Domain experience with education or finance datasets is an advantage.
 
</div>

Data Scientist

Explore 127+ Machine learning intern in Abu Dhabi this July. Find roles across top companies and apply now to boost your career.

127 machine learning intern jobs In Abu Dhabi

Machine Learning Engineer

Machine Learning Engineer

AI Systems & Machine Learning Operations (MLOps) Engineer

Artificial Intelligence (AI) & Machine Learning Engineer

AI Systems And Machine Learning Operations MLOps Engineer

Expert in Bioinformatics & AI (خبير المعلوماتية الحيوية)

Data Scientist