AI And MACHINE LEARNING MANAGER

Unison Group; Bengaluru; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

Unison Group in Bengaluru seeks an AI & Machine Learning Manager with hands-on expertise in AI/ML engineering, Generative AI, data science and enterprise solution delivery. The role leads end-to-end delivery of secure, scalable AI solutions, engaging business stakeholders, shaping solution architecture and guiding engineering teams through development, deployment and adoption.

The candidate will combine technical judgment with business understanding, manage senior stakeholders and drive

Qualifications

• Advanced degree preferred in computer science, AI or data science.
• Proven experience in leading AI/ML projects and teams.

Responsibilities

• Lead end-to-end AI/ML delivery for enterprise solutions.
• Engage business stakeholders to identify high-value AI opportunities.
• Shape solution architectures and guide engineering teams through development, deployment and adoption.
• Champion MLOps, monitoring and governance.

Skills

AI/ML engineering

Generative AI

Data science

Leadership

Stakeholder management

Python

PyTorch

TensorFlow

MLOps

CI/CD

Deployment

Monitoring

Education

Bachelor's or Master's in CS/AI/Data Science

Tools

PyTorch

TensorFlow

scikit-learn

Job description

Job 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.

Requirements: