Senior Specialist - Artificial Intelligence
Accelya (company site, opens in a new tab)5–7 yrsPuneOn-siteDirect career pageEst. 20–30 LPA
Posted 13h ago
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Job description
Structured overview of role & requirements
About This Role
- Lead design, development, and deployment of complex AI/ML systems specifically for airline software applications.
- Architect scalable ML platforms and AI feature infrastructure on AWS, integrating with microservices architecture.
- Drive AI product strategy, enforce AI engineering standards, and contribute to internal AI research and governance.
Minimum Requirements
- 5–7 years of AI/ML engineering experience with proven delivery of impactful models.
- Expertise in classical machine learning, deep learning, LLMs, and generative AI technologies.
- Experience with ML platform engineering, MLOps, and leading ML engineering teams.
- Bachelor's degree in Computer Science or related field (Master's or PhD preferred).
Ideal Candidate Profile
- Strong leadership experience in ML engineering and AI technical strategy within enterprise or large-scale environments.
- Deep knowledge of generative AI, foundation models, agentic AI frameworks, and relevant AWS AI services.
- Familiarity with AI applications in the airline industry or related regulated technology sectors focusing on responsible AI and model governance.