26 Aug
|
Accelya
|
Mumbai
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.
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
- 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
- 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
- Strong problem-solving and airline domain curiosity
- Bachelor's degree in Computer Science, Mathematics or related field
Preferred Experience & Skills
- Deep familiarity with AWS SageMaker, Bedrock and AI services accessible through Accelya's AWS partnership
- Understanding of how AI is being applied in airline technology by providers including FLYR, Amadeus and PROS
What do we offer?
- An open culture with a creative and challenging prospect to satisfy your intellectual needs
- Flexible working hours
- Sma
📌 Specialist - Ai (Mumbai)
🏢 Accelya
📍 Mumbai