Our client is looking for an experienced Senior MLOps Engineer to join their team.

As a Senior MLOps Engineer, your primary responsibility will be to oversee the development, deployment, and management of scalable machine learning systems in a production environment. This role demands a robust engineering approach to automate and optimize the lifecycle of machine learning models, ensuring they are reliable, scalable, and maintainable. We work in a dynamic environment with ever-changing priorities and requirements. We work in short iterations and close collaboration with customers and users. Good teamwork and a focus on always learning and improving is an important part of our culture.

• A minimum of 3 years of experience in production operations environments, focusing on the deployment and management of on-premise machine learning systems.
• Expertise in Python and SQL, applied extensively in building complex operational systems. Experience with R would be a plus.
• Proficient knowledge of machine learning principles and extensive experience with frameworks such as scikit-learn, Pytorch, TensorFlow, Hugging Face, Spark, etc. and their pipeline systems.
• Strong skills in Kubernetes and containerization technologies like Docker, tailored to onpremise deployment scenarios.
• Proven experience in developing machine learning products using advanced tooling, including a SQL engine for data management. Having experience with Dremio is preferred.
• Familiarity with handling large language models, including deployment, tuning, and management, with a focus on local implementations.

Technical Proficiencies:

• Programming Languages: Python, SQL
• Machine Learning Libraries: scikit-learn, Pytorch, TensorFlow, Hugging Face. Being aware of R.
• MLOps Tools: Kubernetes, Docker, MLflow, TFX

What the company offers

• Being part of an agile company with a flat hierarchy
• Great personal development opportunities through online training, participation in conferences, internal knowledge sharing, etc.
• An international environment with colleagues from all over the world
• Social events across teams
• Free breakfast and lunch
• The chance to work with cutting edge technologies
• Flexible working environment where you get to influence the future priorities
• Relocation package if joining from another country

Work location

You will be working from our client's office in Dubai

Job start

As soon as possible but our client is willing to wait for the right candidate

Contact

For more information about the position, please contact CEO & Headhunter Casper N. Christensen, TRACK Management, on phone +45 21 77 05 56 or send an e-mail via TRACK Managements webpage.