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Remote role, mid-tier brand, senior ML specialization and metro hiring produce moderate competition.
Highly domain-specific ML/GenAI, MLops, and production model requirements restrict cross-industry transferability.
Explicit 8+ years, advanced degree options, and specialized GenAI/ML requirements create strict screening.
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Lead design, development, and deployment of scalable AI/ML solutions including advanced ML techniques and Generative AI models impacting customers and operations.
Collaborate with business and engineering stakeholders to define strategy, roadmap, and deliver ML/AI products across multiple business areas.
Mentor and guide machine learning engineers, oversee ML/GenAI platform and infrastructure, ensuring security, reliability, and model lifecycle management.
PhD with 5+ years or MS with 8+ years experience in machine learning and software engineering.
6+ years hands-on design, build, and deployment of AI/ML models including deep learning, reinforcement learning, recommendation systems, transformers, and causal inference.
4+ years experience specifically building and deploying Generative AI applications and LLMs.
Not explicitly mentioned in the JD: Notice period or mandatory location specifics beyond EoR employment in India.
Senior-level machine learning engineer with deep expertise in AI/ML and Generative AI, able to architect enterprise-grade ML systems at scale.
Experienced in strategic roadmap development and cross-functional collaboration with business, engineering, and product teams.
Strong background in production ML ops, model lifecycle, and mentoring teams focused on impactful AI/ML deployments in business environments, preferably with automotive domain exposure.