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Lead AI Engineer

Mahindra & Mahindra Ltd -
Kandivali, Mumbai, Maharashtra

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Job details

Qualifications

TensorFlow
CI/CD
Image processing
Azure
Doctoral degree
Computer Science
Kubernetes
NumPy
Master's degree
SQL
Pandas
AWS
Project management
Docker
Bachelor's degree
Machine learning
Continuous integration
Mentoring
Natural language processing
Data science
AI
Leadership
Communication skills
Python
Data Science

Full job description

Lead AI Engineer

Date: 25 May 2026

Location: Kandivali Plant (AD), Kandivali Plant (AD), IN

Company: Mahindra & Mahindra Ltd

Position Overview

We are seeking a highly skilled and motivated Senior/Lead AI Engineer to join our Mahindra AI team. The ideal candidate will have extensive experience in designing, developing, and deploying advanced AI/ML models and solutions, with a proven track record of leading small teams to successfully deliver complex AI projects. This role requires deep technical expertise, strong leadership skills, and a passion for pushing the boundaries of artificial intelligence to solve real-world problems.

Key Responsibilities

Model Development: Design, develop, and optimize cutting-edge AI/ML models, including deep learning, reinforcement learning, NLP, and computer vision solutions, to address business and technical challenges.
Project Leadership: Lead a small team of 2-5 engineers and data scientists on 2-3 AI projects simultaneously, ensuring timely delivery, high-quality outcomes, and alignment with organizational goals.
End-to-End Implementation: Oversee the full lifecycle of AI solutions, from data preprocessing and feature engineering to model training, evaluation, deployment, and monitoring in production environments.
Collaboration: Work closely with cross-functional teams, including product managers, software engineers, and domain experts, to integrate AI solutions into scalable, production-ready systems.
Innovation: Stay abreast of the latest advancements in AI/ML research and technologies, and propose innovative approaches to enhance existing systems and workflows.
Mentorship: Guide and mentor junior engineers and team members, fostering a culture of technical excellence and continuous learning.
Performance Optimization: Optimize AI models for performance, scalability, and efficiency, ensuring they meet latency, throughput, and resource constraints in production.
Code Quality: Write clean, maintainable, and well-documented code, adhering to best practices and contributing to shared codebases.

Required Qualifications

Experience:

5+ years of professional experience in AI/ML engineering, with a focus on developing and deploying production-grade AI solutions.
Proven experience leading small teams (2-5 members) on 2-3 AI/ML projects, delivering successful outcomes from ideation to production.
Hands-on expertise in building and deploying machine learning models using frameworks such as TensorFlow, PyTorch, Scikit-learn, or similar.
Strong programming skills in Python, with experience in production-level coding and software engineering practices.
Experience with cloud platforms (e.g., AWS, Azure, GCP) and deploying AI models in distributed, scalable environments.

Education:

Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, Mathematics, or a related field.
Advanced degree (Master’s or Ph.D.) from a reputed institute is a strong plus.

Technical Skills:

Deep understanding of machine learning algorithms, neural networks, and statistical modelling.
Proficiency in working with large datasets and tools like Pandas, NumPy, or SQL.
Experience with model optimization techniques, such as quantization, pruning, and distributed training.
Knowledge of MLOps practices, including model versioning, CI/CD pipelines, and monitoring in production.

Leadership Skills:

Demonstrated ability to lead and manage small teams, with strong project management and communication skills.
Experience in setting technical direction, prioritizing tasks, and resolving technical challenges under tight deadlines.

Preferred Qualifications

MS/Mtech/Ph.D. in Artificial Intelligence, Machine Learning, or a related field from a reputed institute.
Experience with advanced AI domains such as generative AI, large language models (LLMs), or reinforcement learning.
Contributions to open-source AI/ML projects or publications in top-tier AI conferences/journals.
Familiarity with containerization and orchestration tools like Docker and Kubernetes.
Experience mentoring early-career engineers or leading cross-functional initiatives.

Why Join Us?

Opportunity to work on cutting-edge AI projects with real-world impact.
Collaborative and innovative work environment with a focus on technical excellence.
Access to state-of-the-art tools, technologies, and resources to fuel your success.

Job Segment: Machinist, Software Engineer, Engineer, Manufacturing, Engineering

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