HIH - Machine Learning Senior Analyst

Overview

Machine Learning Senior Analyst who designs and optimizes scalable machine learning workflows on Databricks, working closely with data scientists and product teams to build robust ML pipelines for 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.
• Utilize AWS services (S3, Lambda, SageMaker, EC2) for model deployment and orchestration.
• Implement CI/CD pipelines for ML models using GitHub Actions or Jenkins.

What you'll need

• 3-5 years of relevant experience.
• Strong proficiency in PySpark and distributed data processing.
• Experience with Databricks and MLlib.
• Familiarity with deep learning frameworks like PyTorch.
• Solid understanding of cloud-based ML deployment (AWS preferred).
• API development experience with FastAPI.
• Bachelor's or Master's (Preferred) in statistics, computer science or equivalent field.

Details

• Location: Primarily based in the Innovation Hub in Hyderabad, India.
• Full-time position, working 40 hours per week.
• Expected overlap with US hours as appropriate.
• Hybrid working model: 3 days work from office (WFO) and 2 days work from home (WAH).