Machine Learning Engineer

Overview

Job Summary:

The Machine Learning Engineer will be responsible for developing, training, and deploying ML models into production environments. The ideal candidate should have expertise in MLOps and cloud AI technologies.

Key Responsibilities:

• Design, train, and optimize ML models for AI applications
• Deploy models in cloud environments (Azure, AWS, or GCP)
• Develop API-based ML services for real-time AI applications
• Implement MLOps pipelines for CI/CD of AI models
• Monitor and improve model performance over time

Required Skills:

• Proficiency in Python, TensorFlow, PyTorch, and Kubernetes
• Experience with Docker, CI/CD pipelines, and model deployment
• Strong understanding of big data processing (Spark, Databricks, Hadoop)
• Knowledge of RESTful APIs and microservices architecture

Job Types: Full-time, Permanent

Pay: From ₹30,000.00 per month

Experience:

• Machine Learning Engineer: 2 years (Preferred)