Lead AI Engineer

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.