Entity:
Technology
Job Family Group:
IT&S; Group
Job Description:
Role Summary
We are seeking an exceptional Staff Machine Learning Engineer to serve as a technical leader and architect of advanced machine learning systems across the organisation.
This is the highest individual contributor tier within the field — a role for engineers and scientists who not only build world-class ML systems but define how they are built. You will shape architectural direction, establish engineering and scientific standards, and drive the delivery of complex, high-impact ML products that span the full journey from scientific research and experimentation through to scalable, production-deployed solutions.
A core differentiator of this role is deep applied machine learning science: the ability to develop, validate, and deploy novel ML algorithms and scientific models as reliable, maintainable products — bridging the gap between cutting-edge research and enterprise-scale deployment. You will influence multiple teams, mentor senior engineers, and drive step-change impact across business-critical,
scientific, and R&D; domains.
Key Responsibilities
- Provide technical leadership in the design and architecture of large-scale, production-grade ML systems and platforms across the organisation.
- Own end-to-end delivery of complex ML solutions — from scientific problem framing and algorithm design through to deployment, operationalisation, and product delivery.
- Apply advanced machine learning science to develop novel algorithms and models, ensuring they are rigorously validated and deployed as scalable, reliable, production-grade products.
- Bridge the gap between scientific research and enterprise deployment — taking ML innovations from experimentation through to productised, maintainable solutions that deliver measurable value.
- Drive engineering excellence across ML systems, including CI/CD, testing, observability, reliability, and MLOps best practices.
- Define technical standards, pattern
📌 Staff Machine Learning Engineer (Pune)
🏢 Bp
📍 Pune