Sr Lead - Machine Learning / Generative AI

Empowered By Innovation
Birlasoft, a global leader at the forefront of Cloud, AI, and Digital technologies, seamlessly blends domain expertise with enterprise solutions. The company s consultative and design-thinking approach empowers societies worldwide, enhancing the efficiency and productivity of businesses. As part of the multibillion-dollar diversified CKA Birla Group, Birlasoft with its 12,000+ professionals, is committed to continuing the Group s 170-year heritage of building sustainable communities.

Technical Lead - Machine Learning / Generative AI

Job Summary:
We are seeking a highly experienced and visionary Senior Architect & Technical Lead with a strong background in Machine Learning, Generative AI, and Agentic AI to lead the design and implementation of cutting-edge AI solutions across industries including Energy, Utilities, Automotive, E-Commerce, and Manufacturing. The ideal candidate will have deep expertise in cloud platforms (AWS, GCP), data engineering, and AI agent frameworks, with a proven track record of delivering scalable, production-grade ML systems.

Key Responsibilities:
Lead the architecture, design, and deployment of ML/GenAI solutions across multiple domains. Collaborate with cross-functional teams to define AI strategies aligned with business goals. Develop and optimize ML/DL models for real-world applications in energy, automotive, and manufacturing. Architect and implement cloud-native solutions using AWS, GCP, and Microsoft Copilot agents. Drive innovation in Agentic AI using frameworks like AWS Strands. Mentor and guide data scientists, engineers, and junior architects. Ensure best practices in model governance, MLOps, and data security. Evaluate emerging technologies and integrate them into existing systems. Lead PoCs and pilot projects for new AI capabilities.

Required Qualifications:
10+ years of industry experience, with 6+ years in Machine Learning and AI. Strong hands-on experience in Python, SQL, and cloud platforms (AWS, GCP). Proven expertise in Generative AI, Deep Learning, Agentic AI, and Data Analytics. Experience with data warehousing, data engineering, and solution design. Familiarity with Microsoft Copilot agents and their integration in enterprise workflows. Strong understanding of MLOps, CI/CD pipelines, and model lifecycle management. Excellent communication and leadership skills.

Preferred Qualifications:
Experience in Energy & Utility, Automobile, E-Commerce, or Manufacturing industries. Certifications in AWS/GCP or AI/ML specializations. Experience with AI agent orchestration and autonomous systems.