ML Engineer

# ML Engineer ## Company Overview *Not specified* ## Job Summary We are seeking an **ML Engineer** with strong expertise in deploying, monitoring, and managing machine learning pipelines on Snowflake. The ideal candidate will act as a bridge between the Data Engineering team and the ML team, ensuring seamless integration of ML models into production workflows. ## Responsibilities - Deploy, monitor, and optimize ML models on Snowflake. - Design and maintain end-to-end ML pipelines including training, validation, deployment, and monitoring. - Use MLflow for experiment tracking, model registry, and performance monitoring. - Collaborate with Data Engineers on data ingestion, transformations, and model-ready datasets. - Implement MLOps best practices such as CI/CD for ML, model versioning, and reproducibility. - Support performance tuning of ML models and pipelines. - Provide governance and documentation for ML workflows. ## Qualifications - **Technical Skills:** - ML Engineering: Proficient in ML pipeline design, model deployment, monitoring, and retraining. - Snowflake: Strong knowledge of the Snowflake platform, Snowpark, and SQL. - MLflow: Hands-on experience with experiment tracking, model registry, and monitoring. - Programming: Proficient in Python, including libraries such as pandas, numpy, scikit-learn, and PySpark. - DevOps/MLOps: Skilled in CI/CD pipelines, version control (GitHub), containerization (Docker), and orchestration (Airflow/Databricks workflows). - **Educational Qualifications:** - Bachelor's or Master’s degree in Computer Science, Engineering, Mathematics, or a related field. ## Preferred Skills - Experience working in a collaborative team environment. - Strong analytical and problem-solving abilities. - Knowledge of additional programming languages such as R or Scala is a plus. - Understanding of data governance frameworks. ## Experience - 5–8 years of relevant experience in ML engineering, particularly in deploying and managing machine learning workflows. ## Environment *Not specified* ## Salary *Not specified* ## Growth Opportunities *Not specified* ## Benefits *Not specified*