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.
Must 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. 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 be an SME.
- Collaborate and manage the team to perform.
- Responsible for team decisions.
- Engage with multiple teams and contribute on key decisions.
- Provide solutions to problems for their immediate team and across multiple teams.
- Mentor junior team members to enhance their skills and knowledge.
- Facilitate regular team meetings to ensure alignment on project goals and progress.

Professional & Technical Skills:
- Must To Have Skills: Proficiency in Data Science.
- Strong analytical skills to interpret complex data sets.
- Experience with machine learning algorithms and statistical modeling.
- Familiarity with data visualization tools to present findings effectively.
- Ability to work with large data sets and perform data cleaning and transformation.

Additional Information:
- The candidate should have minimum 8 years of experience in Data Science.
- This position is based at our Gurugram office.
- Resource needs to travel to client office 5 days a week
- A 15 years full time education is required.

15 years full time education

About Accenture

Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.

Visit us at www.accenture.com 

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