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Lead AI Engineer

Mumbai Permanent View Job Description
The role involves leading the design, development, and deployment of production‑grade AI/ML solutions while owning end‑to‑end delivery across multiple projects and mentoring a small team of engineers. It combines deep hands‑on technical work in areas like deep learning, NLP, computer vision, and MLOps with strong leadership and cross‑functional collaboration to deliver real‑world impact.
  • Opportunity to drive end‑to‑end AI impact at scale
  • Alignment with advanced, applied AI problem‑solving

About Our Client

The company is a AI driven company

Job Description

The key responsibilities include -

  • 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 pre-processing 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.

The Successful Applicant

A successful Lead AI Engineer should have:

  • A strong educational background in Computer Science, Data Science, or a related field.
  • 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.
  • 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.



What's on Offer

  • 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.
Quote job ref
JN-042026-6988943

Job summary

Function
Analytics
Sub Sector
Machine Learning
What is your area of specialisation?
Financial Services
Location
Mumbai
Job Type
Permanent
Job Reference
JN-042026-6988943

Diversity & Inclusion at Michael Page

We don't just accept difference - we celebrate it. We encourage applicants from all backgrounds to apply for this role and are committed to building inclusive, diverse workplaces where everyone can thrive. If you require any support or reasonable adjustments during the recruitment process, please let us know.