MLOps Engineer

Responsibilities Develop and improve platform features that support ML and AI lifecycle management, including LLM operations Build and maintain CI/CD pipelines for ML, AI, and LLM workflows, training, deployment, and monitoring Support reliable, scalable, and secure production environments for ML, AI, and GenAI workloads Automate infrastructure and environment provisioning using infrastructure-as-code Operate and monitor ML, AI, and LLM services and related platform components Perform root cause analysis, troubleshooting, and bug fixing Support data platform users with ML, AI, data ingestion, and processing workloads Collaborate with the platform team on architecture, reliability, and optimization Contribute to other platform areas as needed, depending on priorities and skills Qualifications Master's / Bachelor's in any engineering / Software / Information Technology / Similar engineering specialization 3+ years of experience in designing and building complex data or ML platforms Experience with MLOps practices and the ML model lifecycle in production Experience with CI/CD pipelines for ML and software delivery Experience with containers and orchestration, such as Docker and Kubernetes Experience with infrastructure as code, such as Terraform Experience with ML platforms and tooling such as MLflow, Databricks, Dataiku, or similar Preferably experience with workflow orchestration tools such as Kestra, Airflow, or similar Preferably experience with Azure OpenAI, Foundry, Cortex, or similar GenAI/LLM platforms Preferably experience deploying and managing LLM applications and vector databases Experience with cloud environments, particularly Microsoft Azure Experience with data warehousing, data processing, or streaming technologies Strong experience in root cause analysis, troubleshooting, and operational support Strong skills in SQL, Python, and/or other relevant programming languages Preferably experience with distributed compute frameworks such as Apache Spark Competencies Collaborative and open-minded, and enjoy working in a global cross-functional team Curious and passionate about building value-creating and innovative solutions Comfortable in a changing environment with a flexible mindset Strong in communication and proactive in problem-solving Eager to learn and contribute to the team's shared success