Description
Senior AI/ML Engineer

About the Role

We're seeking a Senior AI/ML Engineer to lead the design, development, and deployment of ML/AI solutions, agents, and data automations across our AWS-based analytics platform. In this role, you'll architect end-to-end ML systems, set technical direction, mentor junior engineers and analysts, and drive best practices in MLOps and ML infrastructure. This is a high-impact role for an experienced engineer who can own complex, ambiguous problems and deliver production-grade machine learning and AI agent solutions.

Key Responsibilities
Architect, train, evaluate, and optimize machine learning models, owning the full model lifecycle from experimentation to production
Design and build AI agents and automated workflows using Amazon Quick and AWS orchestration tools
Define and implement productive ML workflows, optimizing for performance, scalability, and cost
Architect and maintain serverless data pipelines using AWS Glue, Step Functions, Lambda, and EventBridge Scheduler




Lead the design of our analytics service engine for ingesting, transforming, and querying data across S3 storage (Excel/CSV files, Delta Tables, library files)
Establish MLOps practices, CI/CD pipelines, and infrastructure standards for the team
Integrate with external systems (e.g., SAP, Salesforce) and design robust data-sourcing strategies
Design and build REST APIs and model-serving infrastructure for production workloads
Mentor junior engineers, conduct code reviews, and set technical standards
Partner with cross-functional stakeholders to translate business needs into ML solutions

Required Technical Skills
Programming: Expert in Python with a track record of writing clean, well-tested, production-grade code
ML Frameworks: Solid, hands-on experience with PyTorch, TensorFlow, and scikit-learn
Model Development: Deep understanding of model training, evaluation, inference, and optimization for productive ML at scale
AI Agents

📌 Senior Ai/ml Engineer Bengaluru
🏢 Fortive
📍 Bengaluru