Overview
Lead end-to-end delivery of secure, scalable, production-ready AI solutions as a techno-functional leader, engaging business stakeholders and guiding engineering teams while staying close enough to the technology to review designs and challenge implementation choices.
What you'll do
- Engage business stakeholders to identify high-value AI opportunities.
- Shape solution architecture for AI initiatives.
- Lead end-to-end delivery of secure, scalable and production-ready AI solutions.
- Guide engineering teams through development, deployment and adoption.
- Review designs, challenge implementation choices and guide teams on engineering standards.
What you'll need
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Engineering or a related discipline.
- Substantial professional experience in AI/ML engineering, data science, Generative AI or enterprise technology delivery, including experience leading technical teams or complex initiatives.
- Strong hands-on knowledge of machine learning, deep learning, NLP, predictive modelling and Generative AI, with the ability to guide implementation decisions.
- Strong programming proficiency in Python and practical experience with relevant AI/ML libraries and frameworks such as PyTorch, TensorFlow or scikit-learn.
- Practical experience designing and delivering LLM-based applications, including prompt engineering, RAG, embeddings, vector search and AI agent patterns.
- Working knowledge of model evaluation, validation, deployment, monitoring, model drift and lifecycle management.
- Experience with MLOps concepts and tools for experiment tracking, model registry, CI/CD, deployment and production monitoring.
- Ability to elicit and analyse business requirements, define functional and non-functional needs, and convert them into technical designs and delivery plans.
- Experience working with senior stakeholders and cross-functional teams, managing expectations, explaining technical trade-offs and presenting solution recommendations.
- Strong problem-solving, communication, documentation, delivery management and team leadership skills.
Details
- Location: Bengaluru, Karnataka, India.
Read the full description and apply on the company’s own careers page.