Senior Specialist - Artificial Intelligence

Overview

Lead AI/ML development at Accelya, architecting intelligent systems, mentoring engineers and applying advanced AI techniques to complex airline domain problems at scale.

What you'll do

• Lead the design and development of complex, production-grade AI/ML systems for airline software applications
• Architect scalable ML platforms and AI feature infrastructure on AWS, integrating with Accelya's microservices architecture
• Drive adoption of advanced AI techniques including foundation models, RAG, agentic AI and reinforcement learning for airline domain problems
• Lead ML experiment design, statistical evaluation and production deployment of high-impact AI capabilities
• Partner with senior product and engineering leaders on AI product strategy and roadmap
• Define AI engineering standards, review practices and MLOps governance across the team
• Publish internal research, thought leadership and contribute to Accelya's AI knowledge community

What you'll need

• 5–7 years of AI/ML engineering experience with a track record of high-impact model delivery
• Expert ML skills across classical ML, deep learning, LLMs and generative AI
• Deep experience with ML platform engineering, MLOps and responsible AI
• Proven ability to lead ML engineering teams and drive technical strategy
• Bachelor's degree in Computer Science or related field

Nice to have

• Master's or PhD
• Deep expertise in generative AI, foundation models and agentic AI frameworks (LangChain, LlamaIndex) applied to enterprise software products
• Knowledge of how FLYR's AI-native architecture, PROS AI and Amadeus ML capabilities are shaping AI in the airline technology sector
• Expert use of AWS AI services (SageMaker, Bedrock, Comprehend) within Accelya's AWS-partnered cloud environment
• Understanding of responsible AI governance in airline technology, including model explainability, fairness in pricing AI and regulatory implications for AI-driven airline decisions

Details

• Location: Pune COE, India
• Smart working: hybrid remote/office working environment
• Flexible working hours