Custom Software Engineer
Project Role Description : Develop custom software solutions to design, code, and enhance components across systems or applications. Use modern frameworks and agile practices to deliver scalable, high-performing solutions tailored to specific business needs.
Must have skills : Data Science
Good to have skills : NA
Minimum 5 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary:
Lead Data Scientist – Innovation Lab (Agentic AI ) Drive cutting-edge research and development in autonomous AI agents, Agentic AI, and GenAI systems to power next-gen airline solutions. 2. Key Responsibilities Design, develop, and deploy autonomous AI agents using Agentic AI frameworks. Build and optimize multi-agent collaboration protocols (MCP, A2A) for scalable decision-making systems. Fine-tune large language models (LLMs) for domain-specific airline use cases. Architect and implement GenAI solutions for operational and customer-facing applications. Conduct experiments and benchmarking for model performance and reliability. Collaborate with engineering teams to integrate AI models into cloud-native environments (Azure/GCP). Publish findings, contribute to patents, and represent the lab in external forums and conferences. 3. Required Skills / Must-Have Technical Skills: Python, PyTorch/TensorFlow, LangChain, FastAPI, Azure ML or Vertex AI, Docker/Kubernetes. AI/ML Expertise: Autonomous agents, Agentic AI, LLM fine-tuning, GenAI pipelines. Protocols: MCP (Multi-agent Collaboration Protocol), A2A (Agent-to-Agent Communication). Cloud Platforms: Azure or GCP (hands-on experience). Experience: 6-10 years in applied AI/ML, preferably in innovation or R&D settings. 4. Nice-to-Have / Preferred Skills Experience with airline industry datasets or operational systems. Familiarity with Reinforcement Learning (RL) and multi-agent systems. Knowledge of MLOps practices and CI/CD for ML workflows. Contributions to open-source AI projects or publications in top-tier conferences. 5. Education & Qualifications Primary: Master s or PhD in Computer Science, AI/ML, Data Science, or related field. Secondary: Bachelor s in Engineering or Mathematics with strong AI/ML experience. 6. Certifications/Licenses Preferred: Azure AI Engineer Associate, Google Cloud ML Engineer, TensorFlow Developer Certificate. 7. Skills Grouping & Synonyms AI/ML: Autonomous agents / Agentic AI / multi-agent systems / GenAI / LLM fine-tuning Cloud: Azure ML / GCP Vertex AI / cloud-native ML / MLOps Protocols: MCP / multi-agent collaboration / A2A / agent communication Development: Python / FastAPI / LangChain / PyTorch / TensorFlow 8. Location & Work Mode Gurgaon – Work from office
Roles & Responsibilities:
- Expected to perform independently and become an SME.
- Required active participation/contribution in team discussions.
- Contribute in providing solutions to work related problems.
- Collaborate with cross-functional teams to gather requirements and translate them into technical specifications.
- Conduct code reviews and provide constructive feedback to peers to ensure code quality and best practices.
Additional Information:
- The candidate should have minimum 8-10 years of experience in Data Science.
- This position is based at our Gurugram office. Need to travel 5 days a week client office
- A 15 years full time education is required.
Gurugram
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