Job Summary
Description: 5-8 years of full AI Software Development Life Cycle (SDLC) experience designing, developing, and implementing large-scale machine learning/GenAI applications.
Top 3 Must Have Skills
- Production AI Engineering
- Python building and operationalizing MLGenAI services with solid software engineering fundamentals
- Platform mindset reuse building shared components/templates/patterns used by multiple teams not one-off implementations
Responsibilities
- 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.
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