MLOps Engineer

As a recruitment company, DCG understands that every business is powered by experienced professionals. Our management style and partnership approach enable us to meet your needs and provide continuous support. Due to our ongoing growth and the large number of recruitment projects we undertake for our partners, we are currently looking for:

MLOps Engineer

Responsibilities:

• Upgrade Python codebase and Kedro versions, ensuring compatibility with key libraries like pandas and NumPy
• Validate functionality post-upgrades using unit and integration tests
• Extend the customized Data Ingestion Framework by integrating new data sources (e.g., Volue) and migrating to the internal Market Data System (MDS)
• Migrate and optimize Argo Workflow templates, implementing cross-product deployment approaches
• Develop event-based workflow orchestration and standby Argo runners to improve time-to-market
• Enhance monitoring capabilities using Azure Monitoring and Grafana Dashboards
• Implement Kubernetes (AKS) node segregation strategies for controlled FinOps
• Develop online model-serving capabilities in Azure

Requirements:

• Minimum 3 years of experience in similar position
• Proficiency in Python, especially for Data Science / ML workflows
• Experience with Kedro and handling complex ML-based codebases
• Strong understanding of ETL / ELT concepts and parquet / delta-based medallion architectures
• Hands-on experience with workflow orchestration frameworks, ideally Argo
• Expertise in Kubernetes, Helm, and Docker for scalable computing
• Experience with Azure services like DevOps, Azure Monitoring, Data Factory, and Functions
• Knowledge of Grafana for monitoring and observability
• English level: B2, C1

Offer:

• Private medical care
• Co-financing for the sports card
• Training & learning opportunities
• Constant support of dedicated consultant
• Employee referral program