zorba ai
Website:
zorbaconsulting.in
Job details:
Job Description We are hiring a Machine Learning Engineer with strong experience in building and deploying scalable ML solutions. The candidate will be responsible for end-to-end ML lifecycle including model development, deployment, monitoring, and optimization. Key Responsibilities Develop, deploy, and maintain machine learning models in production Build and manage ML pipelines for training, batch, and real-time inference Convert Data Science models into production-ready solutions Implement feature engineering pipelines and feature stores Work on model deployment using Docker, APIs, or cloud services Monitor model performance (data drift, accuracy, degradation) Implement CI/CD pipelines for ML workflows Collaborate with Data Engineers, Data Scientists, and DevOps teams Required Skills (Must Have) Strong experience in Python and SQL Hands-on experience with Machine Learning & MLOps Experience with MLflow / model registry tools Good knowledge of Apache Spark / DataFrames Experience in CI/CD tools (Azure DevOps / GitHub Actions) Hands-on with Docker (Kubernetes is a plus) Cloud experience in Microsoft Azure Experience in model deployment & monitoring Good to Have Knowledge of TensorFlow / PyTorch Understanding of Deep Learning concepts Experience in feature engineering & model evaluation Exposure to Databricks
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