Senior Machine Learning Engineer

📋 Description

• Lead MLOps initiatives, including model training, deployment, model serving, monitoring, and
• Develop and maintain ETL/ELT pipelines, DAGs, and data and Machine Learning workflows using PySpark.
• Design and manage enterprise Feature Stores, ensuring feature versioning, lineage, and consistency
• Develop, validate, and operationalize Machine Learning models for different analytical use cases.
• Implement model versioning strategies, Champion/Challenger approaches, rollouts, model promotion
• Ensure observability, quality, traceability, reproducibility, and governance across data, features

🎯 Requirements

• Advanced experience with Databricks, including MLflow, Unity Catalog, Delta Lake, Databricks
• Strong experience developing, operationalizing, and monitoring Machine Learning models in
• Experience with Feature Engineering, hyperparameter optimization, model evaluation, and supervised
• Experience with enterprise Feature Stores, including feature versioning and point-in-time lookups.
• Knowledge of Data Drift, Concept Drift, Performance Drift, and observability of data and ML
• Experience building CI/CD pipelines, managing DEV, QA, and PROD environments, and implementing

🎁 Benefits

• Health and dental insurance
• Meal and food allowance
• Childcare assistance
• Extended paternity leave
• Partnership with gyms and health and wellness professionals via Wellhub (Gympass) TotalPass
• Profit Sharing and Results Participation (PLR)