Impact Analytics is an agentic-first AI software company transforming retail merchandising through cutting-edge AI, LLMs, and Generative AI technologies. As a rapid-growing Series D company with deployments across five continents, it is building both industry-leading merchandising solutions and foundational AI agents that are redefining how retail decisions are made.
What makes Impact Analytics unique is its combination of deep retail domain expertise, strong innovation culture, and global presence. It is one of the few India-born AI companies recognized globally by organizations like Fortune, Gartner, and the Inc. 5000.
For candidates looking to work on next-generation AI products with global scale and real-world impact, Impact Analytics is an exciting place to build your career. Here’s a link to our website: www.impactanalytics.co.
The impact that you will be making
We are seeking an MLOps Engineer who is a backend-leaning software engineer at heart, and who can also take models from experimentation all the way into reliable production.
You do not need to be a research scientist for this one. The emphasis here is on engineering models into services, deploying them well, and keeping them running smoothly once they are live.
At Impact Analytics, machine learning is not a lab experiment on the side; it is the product. The services you build will turn our data and ML teams’ work into real, dependable capabilities that retailers across five continents rely on every day. When a model you deployed serves predictions cleanly at scale, that reliability is felt far beyond our codebase.
What we value most is a strong foundation in Python and a genuine enthusiasm for continued learning, the kind of individual inclined to independently develop a proof of concept. A working (not necessarily deep) understanding of ML models and the MLOps lifecycle is what sets the right person apart for this role, and if you are strong on the engineering side and eag