Job Summary

5 years of full AI Software Development Life Cycle (SDLC) experience designing, developing, and implementing largescale machine learning/Gen AI applications.

Must Have Skills

- Production AI Engineering
- Python building and operationalizing MLGenAI services with robust software engineering fundamentals
- Platform mindset; reuse, building shared components/templates/patterns used by multiple teams, not one-off implementations
- Operational readiness for AI monitoring/telemetry, production maintenance practices, and reliability-focused troubleshooting

Nice to Have Skills

- Masters degree in Computer Science, Computer Engineering, Technology Information Systems
- CISMIS Engineering or related technical discipline or equivalent experience/training
- Experience building platform capabilities for AI/ML or GenAI solutions in a regulated enterprise environment including registry patterns,



tool/agent registries, private registries, grounding patterns, retrieval memory context budgeting and production hardening, reference implementations, accelerators that drive adoption at scale, etc
- Prior experience developing and implementing generative-based AI solutions using Large Language Models (LLMs) e.g. OpenAI GPT, Google Gemini, Llama
- Exposure to cloud ML tooling and MLOps practices in enterprise environments
- Airline Industry experience

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Senior Specialist - Data Sciences (Hyderabad)
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