Custom Software Engineer Project Role : 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.nnMust have skills : Data Science Good to have skills : NA Minimum 7.5 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.nnKey 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.nnArchitect 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).nnPublish findings, contribute to patents, and represent the lab in external forums and conferences. 3.nnRequired Skills / Must-Have Technical Skills: Python, PyTorch/TensorFlow, LangChain, FastAPI, Azure ML or Vertex AI, Docker/Kubernetes.nnAI/ML Expertise: Autonomous agents, Agentic AI, LLM fine-tuning, GenAI pipelines.nnProtocols: MCP (Multi-agent Collaboration Protocol), A2A (Agent-to-Agent Communication).nnCloud Platforms: Azure or GCP (hands-on experience).nnExperience: 6-10 years in applied AI/ML, preferably in innovation or Ru0026D; settings.nn- 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.nnEducation u0026nnQualifications Primary: Master s or PhD in Computer Science, AI/ML, Data Science, or related field.nnSecondary: Bachelor s in Engineering or Mathematics with solid AI/ML experience. 6.nnCertifications/Licenses Preferred: Azure AI Engineer Associate, Google Cloud ML Engineer, TensorFlow Developer Certificate. 7.nnSkills Grouping u0026 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 u0026 Work Mode Gurgaon Work from office Roles u0026nnResponsibilitiesnn- Expected to be an SME.n- Collaborate and manage the team to perform.n- Responsible for team decisions.n- Engage with multiple teams and contribute on key decisions.n- Provide solutions to problems for their immediate team and across multiple teams.n- Mentor junior team members to enhance their skills and knowledge.n- Facilitate regular team meetings to ensure alignment on project goals and progress. Qualified u0026 Technical Skills:n- Must To Have Skills: Proficiency in Data Science.n- Strong analytical skills to interpret complex data sets.n- Experience with machine learning algorithms and statistical modeling.n- Familiarity with data visualization tools to present findings effectively.n- Ability to work with large data sets and perform data cleaning and transformation.nnAdditional Informationnn- The candidate should have minimum 8 years of experience in Data Science.n- This position is based at our Gurugram office.n- Resource needs to travel to client office 5 days a week - A 15 years full time education is required. .

📌 Lead Data Scientist - Custom Software Engineer (Gurugram)
🏢 Accenture India Private
📍 Gurugram