ML engineer

# ML Engineer (Snowflake & MLflow) ## Company Overview *Company details are 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. - Utilize **MLflow** for experiment tracking, model registry, and performance monitoring. - Collaborate with Data Engineers on data ingestion, transformations, and creation of model-ready datasets. - Implement **MLOps** best practices, including Continuous Integration/Continuous Deployment (CI/CD) for ML, model versioning, and reproducibility. - Support performance tuning of ML models and pipelines. - Provide governance and documentation for ML workflows. - Engage in ML pipeline design, model deployment, monitoring, and retraining processes. ## Qualifications - **Education**: Bachelor's or Master's degree in Computer Science, Data Science, or related field. - **Key Skills**: - Strong knowledge of **ML workflow orchestration** and best practices. - Proficiency in **Snowflake**, including **Snowpark** and **SQL**. - Hands-on experience with **MLflow** for experiment tracking and model management. - Strong programming skills in **Python** (including libraries such as pandas, numpy, scikit-learn, and PySpark). - Familiarity with **DevOps/MLOps** practices, including CI/CD pipelines, version control (GitHub), containerization (Docker), and orchestration tools (Airflow/Databricks). ## Preferred Skills - Experience with data ingestion and transformation strategies. - Knowledge of additional machine learning frameworks and tools. ## Experience - 5-8 years of relevant experience in machine learning engineering or a related field. ## Environment - **Mode**: C2C / Remote. - Open to immediate joiners or those with a notice period of up to 10 days. ## Salary - Estimated budget: **1.5 LPM + GST**. ## Growth Opportunities *Details on growth opportunities are not specified.* ## Benefits *Details on offered benefits are not specified.*