About the Role
We are looking for a Senior Machine Learning Engineer to design, build, and scale production-grade ML and Gen AI systems.
In this role, you will own the end-to-end lifecycle of ML solutions — from problem formulation and model development to deployment, monitoring, and continuous improvement. You will play a key role in building LLM-powered applications and scalable ML systems that power critical business use cases, including ESG analytics.
This role requires a solid balance of machine learning expertise, software engineering practices, and real-world deployment experience.
Responsibilities
Machine Learning & Modeling
Design and develop ML models for structured and unstructured data (classification, NLP, time series).
Perform feature engineering, model selection, and hyperparameter tuning.
Evaluate models using appropriate metrics (precision, recall, F1, ROC-AUC, latency, cost).
Gen AI & LLM Systems
Build and optimize LLM-based applications using techniques such as:
Retrieval-Augmented Generation (RAG)
Prompt engineering and prompt optimization




Context management and response evaluation
Understand and mitigate challenges such as hallucinations, latency, and cost.
Production & Deployment
Develop and deploy scalable ML/LLM inference services using Python (Fast API/Flask).
Containerize applications using Docker and deploy on cloud platforms (AWS preferred).
Build end-to-end pipelines from data ingestion → training → deployment → inference.
MLOps & System Reliability
Implement CI/CD pipelines for ML workflows.
Monitor model performance, detect data/model drift , and trigger retraining pipelines.
Ensure reliability, scalability, and observability of ML systems (logs, metrics, alerts).
System Design & Architecture
Design scalable architectures involving:
Microservices
Event-driven pipelines
Vector databases and retrieval systems
Make trade-offs between accuracy, latency, scalability, and cost.
Collaboration & Leadership
Collaborate with data engineers, bac

📌 Senior machine learning engineer (Navi Mumbai)
🏢 Morningstar
📍 Navi Mumbai