HIH - Machine Learning Senior Analyst

About the role

As a Machine Learning Engineer, you will leverage your expertise in PySpark and MLlib to design and optimize scalable machine learning workflows on Databricks. You’ll work closely with data scientists and product teams to build robust ML pipelines that support advanced analytics and generative AI applications.

What you'll do

• Apply advanced ML techniques including supervised, unsupervised, and deep learning using PySpark, MLlib, and PyTorch
• Design and monitor end-to-end ML workflows in Databricks, including feature engineering, model training, and inference
• Collaborate with cross-functional teams to translate business requirements into scalable ML solutions
• Integrate Generative AI models (e.g., GPT, Claude) for tasks such as summarization, text generation, and conversational AI
• Develop APIs for model serving using FastAPI, supporting synchronous, asynchronous, and streaming inference

What you need

• 3–5 yrs of experience
• Machine learning
• AWS
• Spark
• Databricks
• Deep learning
• PyTorch
• B.Tech or B.E. or B.Sc or BCA or M.Tech or MCA or M.Sc

Good to have

• Statistics
• FastAPI
• LLMs
• REST APIs
• CI/CD
• Jenkins