Sr Lead

2 days ago

Hinjawadi Pune Maharashtra, India Birlasoft Full time ₹ 12,00,000 - ₹ 36,00,000 per year

Country/Region: IN

Requisition ID: 30948

Work Model:

Position Type:

Salary Range:

Location: INDIA - PUNE - BIRLASOFT OFFICE - HINJAWADI

Title: Sr Lead - Machine Learning / Generative AI

Description:

Area(s) of responsibility

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.

Role: Technical Lead – Machine Learning / Generative AI

Location: Pune

Experience: 7-10 years

Shift: Afternoon/Flexible

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.

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