Sr. Machine Learning Engineer

Overview

Senior Machine Learning Engineer responsible for building and operating scalable production ML systems, including training pipelines, inference services, evaluation controls, and shared ML platforms.

What you'll do

• Own production ML capabilities from requirements through operation and improvement.
• Build scalable training, refresh, validation, and inference workflows.
• Design model lifecycle controls for tracking, evaluation, promotion, rollback, and monitoring.
• Improve the performance, resilience, and observability of distributed ML workloads.
• Partner with Data Science on evaluation, data quality, model health, and debugging.
• Lead technical design and mentor engineers through reviews and guidance.
• Communicate technical decisions, risks, and operational status to stakeholders.

What you'll need

• 6+ years of experience building and operating production machine-learning or data-intensive distributed systems.
• Strong Python engineering skills for maintainable, testable services and pipelines.
• Experience with MLOps, including experiment tracking, model versioning, CI/CD, validation, deployment, rollback, and monitoring.
• Experience with distributed ML or data infrastructure such as Spark, Ray, Databricks, Kubernetes, or AWS.
• Understanding of training and inference trade-offs involving quality, latency, throughput, cost, reliability, and drift.
• Production experience with ML, deep learning/NLP, embedding/retrieval, or LLM/agent workflows.
• Ability to translate ambiguous requirements into technical plans and drive delivery.

Nice to have

• Experience with MLflow, Triton, managed model serving, or similar tooling.
• Experience with high-volume batch scoring or low-latency online inference.
• Experience with LLM evaluation, tracing, RAG, vector search, LangGraph, LangSmith, or Amazon Bedrock.
• Experience with feature stores, data contracts, schema validation, or data-quality systems.
• Experience in B2B SaaS or high-scale data platforms.

Details

• Location: Bengaluru, Karnataka, India.
• Employment type: Full-time.