Senior Specialist - Artificial Intelligence
Accelya (company site, opens in a new tab)5–7 yrsPuneOn-siteDirect career pageEst. 20–36 LPA
Posted 14h 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 tailored for airline software applications.
- Architect scalable machine learning platforms and AI feature infrastructure on AWS integrated with microservices.
- Drive adoption of advanced AI techniques (foundation models, RAG, agentic AI, reinforcement learning) and define AI engineering standards and governance across the team.
Minimum Requirements
- 5–7 years of AI/ML engineering experience with proven impactful model delivery.
- Expertise in classical ML, deep learning, LLMs, generative AI, ML platform engineering, MLOps, and responsible AI practices.
- Bachelor's degree in Computer Science or related field (Master's or PhD preferred).
- Experience leading ML engineering teams and setting technical strategies.
Ideal Candidate Profile
- Experienced in applying generative AI, foundation models, and agentic AI frameworks like LangChain and LlamaIndex to enterprise airline software.
- Proficient with AWS AI services (SageMaker, Bedrock, Comprehend) within cloud environments integrated to airline technology platforms.
- Familiar with AI governance topics relevant to airline industry such as model explainability, fairness in pricing, and regulatory compliance.