Data Science Engineer 3
Amadeus (company site, opens in a new tab)6+ yrsBengaluruOn-siteDirect career pageEst. 20–40 LPA
Posted 9h ago
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Job description
Structured overview of role & requirements
About This Role
- Own design, development, deployment, and maintenance of GenAI-powered solutions for aviation operations, ensuring scalability, security, and cost efficiency.
- Implement and manage generative and agentic AI workflows using cloud-native technologies (primarily Microsoft Azure) and integrate them with operational data platforms and systems.
- Drive end-to-end ML lifecycle including building scalable AI/ML models, deploying APIs, monitoring performance, and applying Responsible AI principles in production AI services.
Minimum Requirements
- Bachelor's or Master's degree in Computer Science, Data Science, or related field.
- Minimum 6 years of experience in AI/ML development and deployment, including production-grade GenAI solutions.
- Strong proficiency in Python (preferred) or Java/Scala with engineering best practices, plus hands-on experience with ML frameworks (TensorFlow, PyTorch, Scikit-learn).
- Solid cloud experience, preferably Azure (serverless, containers, event-driven architectures), and MLOps practices; working knowledge of Responsible AI and security/privacy requirements.
Ideal Candidate Profile
- Experienced in designing and orchestrating agentic AI systems (e.g. LangGraph, Agent Development Kit) from concept to deployment in a cloud-native production environment.
- Comfortable working autonomously within defined agile/SAFe processes and collaborating cross-functionally to translate business problems into scalable AI solutions.
- Strong grounding in both AI/ML technical foundations and responsible AI practices, with ability to influence architecture and mentor junior engineers.