For more than 40 years, Accelya has been the industry’s partner for change, simplifying airline financial and commercial processes and empowering the air transport community to take better control of the future. Whether partnering with IATA on industry-wide initiatives or enabling digital transformation to simplify airline processes, Accelya drives the airline industry forward and proudly puts control back in the hands of airlines so they can move further, faster.

Job Description

Specialist-Artificial Intelligence
Mumbai

Role Purpose
As Specialist - Artificial Intelligence at Accelya, you will design and build AI/ML models and intelligent features, contributing meaningfully to the AI capabilities that differentiate Accelya's airline software platform.

Duties & Responsibilities
• Design and develop production-ready ML models for airline domain applications including revenue optimisation, demand forecasting and offer personalisation
• Build end-to-end ML pipelines from data ingestion through model training, evaluation and deployment on AWS SageMaker
• Use GitHub Copilot,



Claude and AI-assisted experiment tools to accelerate model development and improve code quality
• Apply LLM fine-tuning, RAG (retrieval-augmented generation) and prompt engineering for generative AI features in the airline platform
• Partner with product and data teams to translate airline business problems into ML solutions
• Lead MLOps implementation, establishing model monitoring, drift detection and automated retraining pipelines
• Mentor junior AI engineers on ML best practices

Required Experience & Skills
• 3–5 years of ML/AI engineering experience with production model deployment
• Expert Python ML skills and experience with LLMs, RAG and generative AI
• Experience with MLOps, AWS SageMaker and production ML infrastructure
• Solid problem-solving and airline domain curiosity
• Bachelor's degree in Computer Science, Mathematics or related field

Preferred Experience & Skills
• Experience

📌 Specialist - AI (Mumbai)
🏢 Accelya Services India
📍 Mumbai