Develop, train, evaluate, and deploy machine learning and deep learning models using PyTorch. Collaborate with engineering and data teams, preprocess data, write production-grade Python, monitor deployed models, analyze performance, troubleshoot issues, document experiments, and apply current ML best practices. The role may also involve cloud platforms, containerized deployment, MLOps, GPU optimization, NLP, computer vision, or recommendation systems.
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:
As an ML Engineer SDE-1, you will help build and improve deep learning solutions that power intelligent product experiences and business decisions. You will work closely with engineering teams to develop, train, and deploy scalable machine learning models, with a strong focus on PyTorch-based development and production-grade software engineering.
What will you do at Fynd?
- Develop, train, and evaluate machine learning and deep learning models using PyTorch
- Collaborate with software engineers and data teams to translate business problems into ML solutions
- Write clean, maintainable, and testable code for model training, inference, and experimentation
- Assist in preparing, validating, and preprocessing data for model development
- Support model deployment, monitoring, and iterative improvement in production environments
- Analyze model performance metrics and troubleshoot issues to improve accuracy and reliability
- Document experiments, model behavior, and technical findings for internal stakeholders
- Stay current with emerging machine learning techniques and apply best practices to ongoing work
Some specific requirements
- Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field
- 2+ years of experience in machine learning or deep learning development
- Strong hands-on experience with PyTorch
- Proficiency in Python and production-grade software development
- Understanding of model training, validation, and deployment workflows
Good to have
- Experience building scalable ML systems in a production environment
- Familiarity with cloud platforms and containerized deployment
- Knowledge of MLOps tools and practices
- Experience with GPU-based training and optimization
- Exposure to natural language processing, computer vision, or recommendation systems
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!
Fynd Mumbai, Maharashtra, IND Office
Mumbai, India
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