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
Skills: pipelines,machine learning,ml engineer
Click on Apply to know more.