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AI Technical Lead
Mumbai Full-time On-site
About the role
AI Technical Lead for a Software Development client in Mumbai, Maharashtra, India, working on-site full-time. The role leads AI/ML operational and platform engineering functions, ensuring technical excellence and driving AI solution adoption across business units. Day-to-day work includes deep technical investigation and troubleshooting of AI/ML stacks, providing architecture guidance and mentoring to AI, Data, and Platform teams, and enabling AI/ML platforms, tooling, and best practices organization-wide.
What you’ll do
- Deep dive technical investigation, analysis and troubleshooting across AI/ML technology stacks, frameworks, and infrastructure using appropriate 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
- Machine Learning Frameworks (TensorFlow, PyTorch, scikit-learn, XGBoost)
- AI/ML Platforms (Azure AI, AWS SageMaker, Google Vertex AI, Databricks)
Skills
Machine Learning FrameworksAI/ML PlatformsLarge Language Models and GenAIData Processing and AnalyticsCloud PlatformsContainer OrchestrationMLOps and Model DeploymentMonitoring and Observability