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Tier-1 employer, mid-level generalist title, metro location and broad technical scope increase applicant competition.
Technical AI/ML and application architecture skills transfer broadly, though government project experience increases domain specificity.
Explicit 6+ years requirement plus mandatory hands-on AI/ML and government project experience tighten candidate filters.
Provide technical oversight and quality assurance for application development and AI/ML initiatives in government projects.
Review and validate application architecture, software design, AI/ML use cases, and deployment strategies ensuring alignment with business and government standards.
Support technical reviews, risk assessments, testing artifacts evaluation, and advise on emerging technologies, digital transformation, and AI/ML adoption.
Minimum 6 years of experience in enterprise application development, solution architecture, or technology consulting.
At least 2 years of hands-on experience in AI/ML, analytics, or intelligent automation projects.
Educational qualification: B.E./B.Tech./MCA/M.Tech in Computer Science, IT, AI, Data Science or related discipline.
Experience with Government, e-Governance, Digital Transformation, or large IT implementations preferred but not explicitly mandatory.
Experienced in evaluating and validating AI/ML models and applications within large-scale government or public sector projects.
Capable of technical quality assurance across software development lifecycle including secure coding, scalability, and performance.
Able to provide informed technical recommendations and collaborate in stakeholder discussions and risk assessments.