Machine Learning / Generative AI

Birlasoft; Pune District; On-site; INR 1,500,000 - 2,000,000; Full time

Job summary

A leading technology solutions provider is seeking a Senior Architect & Technical Lead to design and implement advanced AI solutions. The ideal candidate will have 10+ years of experience, specializing in Machine Learning and Generative AI. Responsibilities include mentoring teams, optimizing ML models, and leading cloud-native implementations. This full-time position is ideal for individuals with a strong background in AWS or GCP and the ability to drive innovation across multiple industries.

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.

Responsibilities

• Lead the architecture, design, and deployment of ML/GenAI solutions across multiple domains.
• Collaborate with teams to define AI strategies aligned with business goals.
• Develop and optimize ML/DL models for real-world applications.

Skills

Python

SQL

Machine Learning

Deep Learning

Generative AI

Cloud platforms (AWS, GCP)

Data Engineering

MLOps

CI/CD pipelines

Model lifecycle management

Tools

AWS

GCP

Microsoft Copilot

Job description

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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.

Sr Technical Lead – Machine Learning / Generative AI

Experience: 8-10 years

Shift: 9:00am - 6:00pm / Afternoon

Notice: Immediate/15days/30days

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.

Seniority level

• Mid‑Senior level

Employment type

• Full‑time

Job function

• Software Development and Motor Vehicle Manufacturing

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