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Unison Group

AI & MACHINE LEARNING MANAGER

Unison Group Bengaluru, Karnataka, India

Business Consulting and Services · 11-50 employees

2 h ago
Remote machine-learning Principal (10+ yrs) Full-time India
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About the role

Lead end-to-end delivery of secure, scalable, production-ready AI solutions, from identifying business opportunities and shaping architecture through development, deployment, and adoption. Engage stakeholders, guide engineering teams, review technical designs, and uphold engineering standards and delivery quality.

What they look for

AI/ML Engineering Generative AI Data Science Machine Learning Deep Learning Natural Language Processing Predictive Modeling Python PyTorch TensorFlow Scikit-Learn Prompt Engineering Retrieval-Augmented Generation Vector Search MLOps Technical Team Leadership

Requirements

Requires a bachelor's or master's degree in a relevant discipline and substantial experience in AI/ML engineering, data science, Generative AI, or enterprise technology delivery, including leadership of technical teams or complex initiatives. Candidates should have strong Python and AI/ML expertise, practical experience building LLM applications and using MLOps practices, and the ability to translate business needs into technical plans while communicating effectively with stakeholders.

Full description

AI & MACHINE LEARNING MANAGER

We are seeking an AI & Machine Learning Manager with strong hands-on expertise in AI/ML engineering, Generative AI, data science and enterprise solution delivery. The role requires a techno-functional leader who can engage business stakeholders, identify high-value AI opportunities, shape solution architecture and guide engineering teams through development, deployment and adoption.

The candidate must combine sound technical judgement with business understanding. They will lead the end-to-end delivery of secure, scalable and production-ready AI solutions, while remaining close enough to the technology to review designs, challenge implementation choices and guide teams on engineering standards.

  • 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.

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