Lead AI Engineer
Baker Hughes (company site, opens in a new tab)MumbaiOn-siteDirect career pageEst. 28–45 LPA
Posted 12h ago
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Job description
Structured overview of role & requirements
About This Role
- Lead design, analysis, implementation, and integration of AI model serving solutions including AI and Generative AI use cases.
- Drive performance, scalability, cost optimization, and operational readiness for AI serving architectures with safe rollout and rollback strategies.
- Provide technical leadership and mentorship through design/code reviews, and collaborate with multiple teams including Platform, MLOps, Reliability, Security, Data, and Product.
Minimum Requirements
- Master’s degree in Computer Science, Software Engineering, Artificial Intelligence, or related field.
- Strong experience delivering production-grade software systems with expertise in Python development.
- Experience with containerized, microservice-based architectures, API design/versioning, AWS, CI/CD pipelines, and DevOps practices.
- Experience mentoring engineers and leading technical initiatives.
Ideal Candidate Profile
- Experienced in leading design and delivery of scalable AI serving architectures with operational readiness focus.
- Technically proficient in Python and cloud-native microservices, comfortable driving performance and cost optimization in production AI environments.
- Able to provide technical leadership across cross-functional teams and foster engineering standards in AI solution delivery.