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Strong Tier-1 brand and metro Hyderabad with broad ML responsibilities produce medium competition.
Core ML/LLMOps skills are transferable, though biotech/GxP preference raises domain specificity to medium.
Explicit 8–13 years plus mandatory production ML, MLOps, and integration skills make screening highly strict.
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Lead end-to-end technical delivery of complex AI and automation solutions including discovery, design, build, evaluation, production deployment, stabilization, and demonstrating measurable business impact.
Translate complex business problems into executable technical designs and delivery plans; coordinate multidisciplinary teams ensuring production readiness with CI/CD, monitoring, security, and compliance.
Maintain integrated architecture across AI applications, workflows, data pipelines, models, agents, APIs, and enterprise systems including governance, evaluation, and operational support.
Bachelor's or Master's degree in Computer Science, IT, or related field.
8 to 13 years of work experience in technical delivery of AI, ML, software, data, or automation solutions.
Strong hands-on proficiency in Python and SQL with experience designing or reviewing production software, APIs, data flows, and integrations.
Demonstrated end-to-end technical ownership of at least one production AI or automation solution delivering measurable enterprise outcomes.
Expertise in applied AI/ML, GenAI/RAG/agents, full-stack integration engineering, or AI platform/MLOps with credible breadth in production lifecycle.
Experience working in regulated or compliance-driven domains such as life sciences or healthcare is advantageous but not mandatory.
Proven ability to lead technical delivery across complex enterprise AI solutions balancing value, speed, quality, and regulatory requirements while collaborating with cross-functional teams.