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Strong employer brand, popular ML role, metro Hyderabad, mid-level range, broad GenAI/MLOps skillset.
Specialized ML/GenAI and regulated delivery experience moderately restricts cross-industry transferability.
Explicit 5–9 years plus mandatory ML/GenAI and MLOps proficiencies increases filter strictness.
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Own defined production ML/AI components such as models, inference services, data pipelines, evaluation modules, APIs, or monitoring capabilities within enterprise AI products.
Design, implement, release, diagnose, and support scalable AI components with measurable impact, ensuring alignment with user and workflow outcomes.
Collaborate with product and architecture teams to define component requirements, acceptance criteria, and support expectations, and apply responsible AI, security, privacy, and compliance controls.
Bachelor’s or Master’s degree in Computer Science, IT, or related field.
5 to 9 years of relevant experience in production software, ML, GenAI, or automation component ownership.
Strong hands-on expertise in Python and SQL with software engineering and testing practices.
Work Experience Required: 5 to 9 years of experience explicitly mentioned.
Experience in at least one of the following areas: classical ML, Generative AI/ Retrieval-Augmented Generation/ agents, or MLOps/platform engineering with working knowledge of adjacent areas.
Capable of independently owning production AI components end-to-end, including design, release, diagnostics, and support in regulated or enterprise environments.
Comfortable working cross-functionally with product, architecture, data science, software, and control partners, and guiding junior engineers.