Data/ML Platform Engineer

Responsibilities:

• Develop and optimize ML Platform features
• Refactor and translate data products
• Design and manage data pipelines (Python, Spark)
• Work with AWS, Databricks (Lakehouse, ML, MLflow)
• Implement ML models (XGBoost, LightGBM, Torch)
• Ensure data quality (Parquet, Delta Lake)
• Lead discussions and guide teams
• Drive projects independently

Requirements:

• 5 years of hands-on experience in using Python, Spark
• Experienced in AWS Cloud usage and management
• Experience with Databricks (Lakehouse, ML, Unity Catalog, MLflow)
• Experience using various ML models and frameworks such as XGBoost, Lightgbm, Torch
• Fundamental understanding of Parquet, Delta Lake and other data file formats
• English level: B2, C1

Nice to have:

• Familiarity with containerization and orchestration technologies (e.g., Docker, Kubernetes)
• Experience with orchestrators such as Airflow and Kubeflow
• Proficiency on an IaC tool such as Terraform, CDK or CloudFormation

Offer:

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