MLOps Engineer M/W/X
Primary stack
Nice to have's
Job description
About the Position
We are looking for an experienced MLOps Engineer to join our team and design, build, and maintain production-grade Machine Learning systems, with a strong focus on Large Language Models (LLMs). In this role, you will be responsible for deploying, managing, and monitoring ML models within secure hybrid on-premises and cloud environments, ensuring scalability, reliability, and performance. You will work in an international environment, collaborating closely with data scientists, back-end developers, and technical teams to optimise ML pipelines, implement CI/CD processes, and continuously improve LLMOps/MLOps practices.
Responsibilities
- Design, build, and maintain production-grade ML systems with a strong focus on Large Language Models (LLMs) in a secure hybrid on-prem / cloud infrastructure.
- Deploy, test, manage, and monitor ML models in different containerised environments.
- Work closely with data scientists and back-end developers to build, test, integrate, and deploy ML models.
- Evolve the LLMOps lifecycle: data preparation, fine-tuning, evaluation, deployment, monitoring, and iteration.
- Develop evaluation frameworks for LLM quality, robustness, and regression tracking.
- Analyse performance metrics and troubleshoot issues to ensure high availability and reliability.
- Design CI/CD pipelines, use orchestration solutions, and data versioning tools.
- Create automated anomaly detection systems and constantly track their performance and optimise ML pipelines for scalability, efficiency, and cost-effectiveness.
- Provision of security studies, security assessments, or other security matters associated with information system projects.
- Provision of support and guidance to other team members on LLMOps/MLOps practices.
Requirements
- Excellent knowledge of managing an on-prem and/or cloud LLM / MLOps infrastructure.
- Excellent knowledge of containerisation and orchestration platforms (e.g. Kubernetes, Docker, Podman, EKS, PKS).
- Good knowledge of MLflow, TensorFlow (TFX) or equivalents.
- Good knowledge of Airflow.
- Good knowledge of AWS or EU cloud providers.
- Good knowledge of Python.
- Good knowledge of Unix and Bash.
- Good knowledge of agile software development methodologies.
- Good knowledge of infrastructure as code (Terraform, CloudFormation).
- Good knowledge of messaging services and platforms (e.g. Kafka, Redis, RabbitMQ).
- Knowledge of data security measures (knowledge of encryption mechanisms and ML security is considered a plus).
- Knowledge of NoSQL databases, such as OpenSearch, MongoDB, etc.
- Knowledge of query languages, such as SQL, Hive, Pig, etc. and with information extraction.
- Experience with data analytics over big datasets, non-structured databases, as well as data lakes.
- Experience with monitoring and logging tools (e.g. ELK stack, Prometheus, Grafana, OpenTelemetry, Cloudwatch).
- Experience with model testing and model validation in production environments.
- Ability to write clear and structured technical documentation.
- Good knowledge of European Commission grant management ecosystem (eGrants) would be an asset.
Education
- Bachelor's degree or higher in a relevant field such as Computer Science, Information Technology, or Systems Engineering.
We Offer
- An attractive salary package with or without a company car.
- 12 additional paid leave days per year (RTT) to support a better work-life balance.
- Meal vouchers for your lunch breaks.
- A personalized development program, including at least 7 training days per year to help you enhance your skills.
- Eco vouchers to support your everyday eco-friendly purchases.
- Hospitalization insurance fully covered by the company for your personal coverage.
- Access to the Employee Club, giving you access to a wide range of daily benefits and discounts.
- An annual bonus.
About the Company
We believe in shaping digital together. We don’t just deliver technology, we work shoulder to shoulder with our clients to ensure technology drives impact when and where it matters most. Start the journey with us.
Apply Now
Are you ready to become part of a dynamic team with a clear focus on growth and excellence? Apply now and take the first step towards a fulfilling career with CTG IT Solutions. Please note that a criminal record check will be required for this position.
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