ML Ops/LLM Ops Engineer

pJoining KEYES means giving purpose to your talent. /ph3Who are we? /h3pAre you looking for an environment where technology is not an end in itself, but a lever to build a sustainable future? At bKEYES /b, we are not just looking for technical expertise; we are looking for people who share our values. Do you want to continue your career and grow within one of Belgium’s leading IT companies? /ppbKEYES
- International Organizations (IO) /bis a dynamic global organization that takes pride in being the trusted partner of bEU Institutions. /b With strong commitment to excellence and a b30-years track record /b of delivering high-quality solutions, we are dedicated to supporting the growth and success of our clients. Our Mission is to help our clients keep up with the challenges of bdigital transformation /b by providing the right talent at the right time for the right job. To this end, we are constantly looking for talented professionals who are interested in working on challenging binternational projects /b and able to deliver high-quality results within multicultural environments. Our services include (but are not limited to) bmodernization of solutions, digital workspaces, cloud technologies and IT security /b. Our Headquarters are in Brussels and we have active accounts and offices across Europe (i.e. Luxembourg, Amsterdam, Athens, Stockholm, Geneva). /ppMore information: /ph3Is this YOU? /h3pbFor one of our main clients based in Brussels
- a European Institution /b, we are looking for a bSenior ML / LLM Engineer /b with expertise in bon-prem and cloud LLM/MLOps infrastructure /b to support corporate solutions in the area of research and innovation. You will be supporting the EU policies on research, science and innovation, with a view to help create growth and jobs and tackle our biggest societal challenges. /ppPlease note that the position is based in Brussels, on hybrid mode, therefore being based in Belgium is required. /ppMore specifically, you will be responsible for… /pullipDesign, build, and maintain production-grade ML systems with a strong focus on bLarge Language Models (LLMs) /b in a secure hybrid on-prem / cloud infrastructure. /p /lilipDeploy, test, manage and monitor ML models in different containerised environments. /p /lilipWork closely with data scientists and back-end developers to build, test, integrate and deploy ML models. /p /lilipEvolve the LLMOps lifecycle: data preparation, fine-tuning, evaluation, deployment, monitoring, and iteration. Develop evaluation frameworks for LLM quality, robustness, and regression tracking. /p /lilipAnalyse performance metrics and troubleshoot issues to ensure high availability and reliability. /p /lilipDesign CI/CD pipelines, use orchestration solutions and data versioning tools. /p /lilipCreating automated anomaly detection systems and constant tracking of its performance and optimising ML pipelines for scalability, efficiency and cost-effectiveness. /p /lilipProvision of security studies, security assessments or other security matters associated with information system projects. /p /lilipProvision of support and guidance to other team members on LLMOps/MLOps practices. /p /li /ulp#LI-VB1 /pp#TRASYS /pbr/h3Are you the perfect match? /h3ullipMaster’s/Bachelor’s degree; /p /lilipMinimum 7 years of experience in bData, AI, LLMs; /b /p /lilipExcellent knowledge of managing an bon-prem and/or cloud LLM / MLOps infrastructure. /b /p /lilipExcellent knowledge of bcontainerisation and orchestration platforms (e.g. Kubernetes, Docker, Podman, EKS, PKS). /b Good knowledge of MLflow, TensorFlow (TFX) or equivalents. /p /lilipGood knowledge of bAirflow. /b /p /lilipGood knowledge of bAWS or EU cloud providers. /b /p /lilipGood knowledge of bPython. /b /p /lilipGood knowledge of bUnix and Bash. /b /p /lilipGood knowledge agile software development methodologies. /p /lilipGood knowledge of infrastructure as code b(Terraform, CloudFormation). /b /p /lilipGood knowledge of bmessaging services and platforms (e.g. Kafka, Redis, RabbitMQ). /b /p /lilipKnowledge of data security measures (knowledge of encryption mechanisms and ML security is considered a plus). /p /lilipKnowledge of NoSQL databases, such as OpenSearch, MongoDB, etc. /p /lilipKnowledge of query languages, such as SQL, Hive, Pig, etc. and with information extraction. /p /lilipExperience with data analytics over big datasets, non-structured databases as well as data lakes. /p /lilipExperience with monitoring and logging tools (e.g. ELK stack, Prometheus, Grafana, OpenTelemetry, Cloudwatch). /p /lilipExperience with model testing and model validation in production environments. /p /lilipAbility to write clear and structured technical documentation. /p /lilipGood knowledge of European Institutions’ grant management ecosystem (eGrants) would be an asset. /p /li /ul