Head of AI/ML
EngineeringMumbai, IndiaFULL TIMEPosted 5/11/2026
About Fynd
Fynd is a frontier technology company. We started at the intersection of technology and retail because that is where technology was the least available. Over the years, we became one of India’s largest retail technology platforms. But retail was the entry point, not the boundary.
Today, Fynd builds intelligent software that runs business operations. Not tools that help people work faster, but systems that absorb entire functions: manufacturing, marketing, logistics, commerce, quality control. We sit inside our customers’ businesses, harvest deep domain context, and build AI systems that operate autonomously. We are expanding from retail into manufacturing, generative media, physical AI, and healthcare.
Role Overview
Lead the company’s AI/ML strategy and execution to build scalable, business-critical solutions that improve retail personalization, operational efficiency, and revenue growth. This role will drive innovation in recommendation engines, demand forecasting, and intelligent automation by translating advanced machine learning, deep learning, NLP, and computer vision capabilities into measurable business impact across functions.
Responsibilities
- Define and execute the AI/ML roadmap aligned with business priorities, with a focus on retail use cases such as recommendation systems, demand forecasting, and customer intelligence.
- Lead the design, development, deployment, and monitoring of end-to-end machine learning solutions from experimentation to production.
- Build and mentor a high-performing AI/ML team, setting technical direction, development standards, and a culture of innovation and accountability.
- Partner with product, engineering, data, operations, and business stakeholders to identify opportunities and translate them into scalable AI-driven solutions.
- Drive model development using advanced techniques in deep learning, NLP, and computer vision to solve complex business problems.
- Establish robust MLOps practices, model governance, and performance monitoring to ensure reliability, scalability, and continuous improvement.
- Oversee data strategy and feature engineering efforts to ensure high-quality inputs for model training and inference.
- Communicate AI/ML strategy, progress, and outcomes to senior leadership and influence cross-functional decision-making.
Qualifications
Required
- Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field, or equivalent practical experience
- 10-15 years of experience in AI/ML, data science, or applied machine learning roles
- Proven experience leading the design and delivery of production-grade AI/ML solutions
- Strong hands-on expertise in recommendation engines, demand forecasting, and model development
- Demonstrated experience with deep learning, NLP, and computer vision applications
Preferred
- MBA or advanced degree preferred for leadership roles
- Experience in retail, e-commerce, or consumer technology domains
- Prior experience leading or mentoring high-performing AI/ML teams
- Exposure to large-scale cloud-based ML infrastructure and MLOps practices
- Track record of driving measurable business impact through AI initiatives
What do we offer?
Growth
At Fynd, growth is limitless. We nurture a culture that encourages innovation, embraces challenges, and supports continuous learning. As we expand into new product lines and global markets, we're seeking talented individuals eager to grow with us.
We believe in empowering our people to take ownership, lead with confidence, and shape their careers.
Learning Wallet: Enrol in external courses or certifications to upskill—we'll reimburse the costs to support your development.
Culture
We believe in building strong teams and lasting connections.
- Regular community engagement and team-building activities
- Biannual events to celebrate achievements, foster collaboration, and strengthen our workplace culture
Wellness
Your well-being is our priority. Comprehensive Mediclaim policy for you, your spouse, children, and parents.
Work Environment
We thrive on collaboration and creativity. Our teams work from the office five days a week to encourage open communication, teamwork, and innovation.
Join us to be part of a dynamic environment where your ideas make an impact!
What happens next?
- Check your email for application confirmation.
- The hiring team reviews your profile for the role.
- Watch your inbox for hiring updates and next steps.
Emails follow your notification preferences. Check spam or junk if needed.