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Senior specialized ML role at a known industrial brand with metro hiring yields moderate applicant competition.
Core ML engineering skills transfer well, though energy domain and production-serving expertise increase sensitivity.
Multiple required technical skills, master's degree, production experience and leadership expectations enforce strict shortlisting.
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Lead design, implementation, and integration of AI model serving solutions prioritizing performance, reliability, and scalability.
Lead and standardize serving architectures for AI and Generative AI use cases with safe rollout, rollback, and cost optimization strategies.
Provide technical leadership by mentoring engineers, conducting design/code reviews, and ensuring operational readiness for production deployments.
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 architectures, API design/versioning, AWS, CI/CD pipelines, and DevOps practices.
Experience mentoring engineers and leading technical initiatives. Work Experience Required: Not explicitly mentioned in the JD.
Experienced in driving scalable, reliable AI/ML production services, especially with Generative AI use cases.
Skilled in cross-functional collaboration with platform, MLOps, security, data, and product teams.
Capable of establishing engineering standards and operational readiness in complex AI service environments.