AI ML Engineer (NCS/Job/ 1977)

Key Responsibilities:

• Build and deploy ML models using Azure ML and Databricks.
• Collaborate with data scientists and engineers to operationalize AI solutions.
• Optimize model performance and ensure scalability in production environments.
• Develop pipelines for data ingestion, preprocessing, and model training.
• Monitor and maintain deployed models for accuracy and reliability.

Desired Skills & Qualifications:

• Proficiency in Azure Machine Learning and Databricks.
• Strong programming skills in Python or Scala.
• Experience with ML frameworks like TensorFlow, PyTorch, or Scikit-learn.
• Solid understanding of machine learning algorithms, data engineering, and MLOps practices.
• Familiarity with CI/CD pipelines and cloud-native development.

Nice to Have:

• Experience with large language models (LLMs) or generative AI.
• Knowledge of data governance and security in AI systems.