Senior Machine Learning Engineer
New
Australia, Brazil, Canada, France, Germany, India, Mexico, Philippines, United Kingdom, United StatesFull-TimeSenior
Salary not disclosed
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Job Details
- Experience
- 4+ years
- Required Skills
- PythonMLFlowCI/CDDatabricksPySpark
Requirements
- Bachelor’s degree in Computer Science, Engineering, Data Science, Mathematics, Statistics, or equivalent.
- 4+ years of experience in Machine Learning Engineering or Data Engineering.
- Hands-on expertise in Databricks technologies including Delta Lake, MLflow, Feature Store, and Unity Catalog.
- Strong proficiency in Python, PySpark, and Spark SQL.
- Deep knowledge of distributed computing, Spark optimization, and scalable ML architecture.
- Proven success delivering production-grade ML pipelines end-to-end.
- Experience with AI-assisted development tools such as Cursor, Claude, or GitHub Copilot.
- Familiarity with CI/CD and DevOps tooling including GitHub Actions, Azure DevOps, or GitLab CI.
- Hands-on experience with frameworks such as scikit-learn, XGBoost, or LightGBM.
- Ability to mentor engineers and lead technical discussions.
Responsibilities
- Design, develop, and deploy machine learning solutions using Databricks technologies including PySpark, Spark SQL, MLflow, Feature Store, and AutoML.
- Build scalable ML pipelines across the full lifecycle—from data ingestion and feature engineering to model validation, deployment, monitoring, and retraining.
- Implement CI/CD, model versioning, governance, and production deployment using MLflow Model Registry, Databricks Workflows, and Model Serving.
- Perform exploratory analysis and apply statistical techniques including regression, classification, and clustering.
- Mentor junior developers and analytics professionals on ML guidelines and operationalization.
- Partner with cross-functional teams to align AI solutions with enterprise architecture, governance, and business objectives.
- Optimize Spark performance and cost efficiency while implementing monitoring and lineage tracking through Unity Catalog.
- Develop reusable frameworks and standards that accelerate scalable, governed ML adoption.
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