Staff Machine Learning Engineer (Pune)

Staff Machine Learning Engineer (Pune)

13 Aug
|
Bp
|
Pune

13 Aug

Bp

Pune

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, patterns, and best

📌 Staff Machine Learning Engineer (Pune)
🏢 Bp
📍 Pune

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