Core Areas: Own all pieces of ML architecture - model deployment, versioning, metric tracking, and maintenance. Built log monitoring systems, debugged and managed our models in the product. Build scalable and robust infrastructure to ensure high system up-time and reliability.

Qualification: Bachelor/Master's degree, 2-5 years in Machine Learning Engineering focusing on MLOps.

Our Story

Zepto is a fast-growing startup that delivers groceries in 10 minutes through an optimized network of dark stores that we're building across the country! We’re incredibly well-funded, and our investors include Y Combinator, Glade Brook,Nexus Venture Partners, and more! We’ve also built out one of the best startup teamsin India, with Senior Executives from Uber, Flipkart, Dream11, and institutions like Stanford, INSEAD, IIM, and IIT

Data Science is mission-critical to Zepto, serving as the subject matter expert for the entire

organization. You will be closely working with DS and Product teams

Your Role

● Work closely with business teams to identify, define, collect and track key

business metrics and inform strategic decisions

● Design and run data-backed experiments to improve process efficiency and

create systems to capture them

● Tool and fetch data required to conduct business analysis, build and

automate reports and dashboards to monitor business performance and

generate business insights

● Collaborate with functional leaders in Marketing, Procurement, Assortment

strategy and Operations to build & execute data-driven forecasting models/methods.

● Wear the Zepto badge with pride. We are looking for owners – not employees.

We want everyone to be passionate about our mission and serve as a culture carrier.

Qualifications

Background

• Bachelor's in Engineering, Mathematics or Statistics from a reputed institute
• 2+ years of experience in a relevant role

Required Competencies

• A sound ML engineer combines critical pieces of engineering with the reality of a data scientist's life.
• Ability to architect ML engineering pipelines and tools.
• Ability to experiment with different metrics to solve complex problems
• Exceptional communication skills (Written/Verbal)
• Ability to Independently plan and Execute deliverables
• Ability to multitask and work on a diverse range of requirements

Technical Capabilities

• Must have hands-on experience in Python and Scala.
• Experience in building end-to-end ML and data science solutions at a platform level is required.
• Ability to apply software engineering best practices and rigour to ML pipelines, including automation, CI/CD, etc. Must be capable of working with AWS and MLOps tools. Experience in integrating monitoring solutions in ML applications is also required.
• Experience training large neural networks with machine learning frameworks like PyTorch or TensorFlow. Hands-on experience managing or provisioning GPU/CPU clusters or other large-scale cloud or Linux/Unix systems is necessary.
• Must be able to identify and evaluate new technologies that can improve machine learning solutions' performance, maintainability, and reliability.
• Capability to preprocess structured and unstructured data, present information using data visualisation techniques, propose solutions and strategies to business challenges, and collaborate with engineering and product development teams.
• Most importantly, the ability to learn and embrace the generalist aspect of the role to pick tasks in ML, Software Engineering, Data Engineering, DevOps or Data Science.

What We’re Looking For

People with endless curiosity and hunger to learn with an owner’s mindset

Structured thinking to solve real-world problems

Comfort with a fast-paced, unstructured environment