Job Overview

As a Senior Machine Learning Engineer, AI & ML — Data Collection, you will play
a critical role in building and scaling the company’s Unified AI/ML Data
Collection Platform, enabling standardized, reliable, and scalable machine
learning capabilities across the organization. This role will focus on
transforming existing AI/ML and LLM-driven data systems into a cohesive platform
that supports data pipelines, model lifecycle management, evaluation frameworks,
and production deployment.

This position requires deep hands-on expertise in machine learning engineering,
LLM-based systems, ML platform development, and MLOps. You will work closely
with ML engineers, product managers, researchers, and business stakeholders to
deliver production-ready AI/ML systems aligned with broader business objectives
and AI/ML strategy.

You will be deeply involved in the design, development, and operationalization
of platform components, including data ingestion, feature management, model
training and evaluation, scalable inference systems, and model observability
capabilities.





You will help ensure that AI/ML systems are production-ready, observable,
maintainable, and cost-efficient, with a strong emphasis on reliability,
performance, governance, and developer productivity. You will leverage your
expertise in areas such as large language models (LLM), retrieval-augmented
generation (RAG), embeddings, vector databases, distributed systems,
cloud-native architectures, and ML Operations (MLOps).

You will contribute to the end-to-end lifecycle of ML systems, from
experimentation and prototyping to deployment, monitoring, optimization, and
continuous improvement while mentoring engineers and promoting solid
engineering practices across the team.

Team Overview

You will be part of a multidisciplinary team of ML engineers responsible for
building and maintaining the Unified AI/ML Data Collection Platform. The team
focuses on developing scalable systems that support data pipelin

📌 Senior Machine Learning Engineer (Mumbai)
🏢 Morningstar
📍 Mumbai