Artificial Intelligence Technical Lead

About the role

This Artificial Intelligence Technical Lead role in Mumbai, India, leads AI/ML operational and platform engineering functions across the organization. Day-to-day work includes providing technical leadership and mentoring to AI, Data, and Platform teams, driving AI/ML platform enablement and tooling, and ensuring technical excellence and adoption of AI solutions across business units. The position is full-time and on-site.

What you’ll do

• Lead deep dive technical investigation, analysis and troubleshooting across AI/ML technology stacks, frameworks, and infrastructure using diagnostic and monitoring tools
• Provide technical leadership and mentoring to AI Engineering, Data Engineering, and Platform teams, fostering a culture of technical excellence and continuous improvement
• Drive the enablement of AI/ML platforms, tooling, and best practices across the organization
• Provide architecture guidance and technical oversight for AI/ML solution design, implementation, and optimization
• Lead the evaluation, selection, and integration of AI/ML tools, frameworks, and cloud services (e.g., Azure AI, AWS SageMaker, Google Vertex AI)
• Establish and maintain monitoring, logging, and observability standards for AI/ML systems and models
• Investigate opportunities for optimization of AI/ML technology stacks, including model performance tuning and infrastructure efficiency
• Work with solution architects and business stakeholders to translate business requirements into technical AI/ML solutions

What you’ll bring

• 10 years’ experience in IT, software engineering, or data science related positions
• 5 years of direct experience with AI/ML technologies, platforms, and solutions in production environments
• 3 years in technical leadership, architecture, or senior engineering role
• Experience in designing and implementing large-scale AI/ML solutions and systems
• Experience working with cloud platforms and understanding of cloud-native architectures
• Experience with DevOps, CI/CD pipelines, and containerized deployments
• Experience with Machine Learning Frameworks (TensorFlow, PyTorch, scikit-learn, XGBoost)
• Experience with AI/ML Platforms (Azure AI, AWS SageMaker, Google Vertex AI, Databricks)

Skills