Data Science Engineer 3
Amadeus (company site, opens in a new tab)6+ yrsBengaluruOn-siteDirect career pageEst. 30–48 LPA
Posted 5h ago
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Job description
Structured overview of role & requirements
About This Role
- Design, develop, deploy, and maintain generative and agentic AI solutions for airline and airport operations, ensuring production-grade reliability and cost-efficiency.
- Implement cloud-native AI/ML workflows primarily on Microsoft Azure, including scalable APIs and backend services supporting conversational interfaces and AI-assisted analytics.
- Drive end-to-end ML lifecycle management including data preparation, model training, deployment, monitoring, and Responsible AI compliance in a multi-cloud environment.
Minimum Requirements
- Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
- 6+ years of experience in AI/ML development and deployment, specifically shipping generative AI production solutions.
- Proficiency in Python (preferred) or Java/Scala, with strong engineering practices including testing and code reviews.
- Solid experience with cloud platforms (preferably Azure), ML frameworks (TensorFlow, PyTorch, Scikit-learn), and end-to-end MLOps practices.
Ideal Candidate Profile
- Experienced in designing and orchestrating agentic AI systems (e.g., LangGraph, Agent Development Kit) from concept to production deployment.
- Skilled at translating complex business problems into scalable AI-driven solutions within Agile/SAFe frameworks and cross-functional team environments.
- Knowledgeable in Responsible AI principles, AI security, data privacy, and operationalizing AI workloads with focus on cost and latency optimization.