We are looking for an experienced AI Engineering Team Lead to lead the design and delivery of enterprise-scale AI and GenAI solutions.
The ideal candidate will bring strong hands-on expertise in AI/ML along with proven project leadership skills to drive high-quality, production-ready AI systems.
This role involves hands-on model development, architectural decision-making, mentoring engineers, and ensuring delivery excellence within an agile, fast-paced environment.
Key Responsibilities
Technical Leadership :
Lead a team of AI/ML engineers across multiple projects and delivery phases.
Design and architect scalable AI/ML and GenAI solutions aligned with business needs.
Review model designs, experiments, and code to ensure technical quality and robustness.
Collaborate with architects, product owners, and domain experts to translate requirements into AI-driven solutions.
AI / ML Development
Design, develop, and deploy machine learning models using Python and modern ML frameworks.
Build AI solutions across NLP, Computer Vision, predictive analytics, and optimization use cases.
Develop and integrate GenAI solutions using LLMs, prompt engineering, and RAG pipelines.
Implement data preprocessing, feature engineering, model evaluation, and optimization workflows.
Ensure scalability, security, and reliability of AI systems in production environments.
Delivery & Collaboration
Own sprint planning, backlog refinement, and execution for AI projects.
Work closely with QA, DevOps, Product, and Cloud teams for smooth releases.
Track delivery progress, identify technical and delivery risks, and propose mitigation strategies.
Mentor junior engineers and promote best practices in AI engineering and MLOps.
Process & Quality
Drive Agile/Scrum practices with a focus on predictable and high-quality deliveries.
Maintain clear documentation including solution architecture, model design, and data flows.
Support CI/CD pipelines, MLOps workflows, and cloud deployment readiness.
Requirements
Required Skills & Experience :
810 years of experience in AI/ML engineering, with at least 23 years in a team lead role.
Strong expertise in :
Programming : Python.
ML Frameworks : TensorFlow, PyTorch, scikit-learn.
AI Domains : NLP, Computer Vision, predictive analytics.
