Machine Learning Engineer_5+ Years

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
Skills Required
Docker, Microsoft Azure, Apache Spark, Kubernetes, Sql, MLops, Azure Devops, Python