Design, implement, and improve machine learning Systems.
Contribute to machine learning applications end to end, i.e. from research to prototype to production.
Work with product managers, designers, and customers to define vision and strategy for a given product.

A hybrid data science engineer who can navigate both sides with little help from others
You understand the typical lifecycle of machine learning product development, from inception to production. Experience in Gen AI application/agent development is a plus.
You have strong programming skills in at least one programming language (Python, Golang, etc.). Experience in frameworks like Langchain, OpenAI Agent SDK is a plus.
You have experience building microservices. Experience with Golang is a plus.
You have substantial experience with building and managing infrastructure for deploying and running ML models in production
You have experience working with distributed data processing frameworks such as Spark. Experience with Spark's MLlib, AWS, Databricks, MLFlow are a plus
You have some knowledge of statistics and machine learning and have practical experience applying it to solve real-world problems.
You are hands-on, able to quickly pick up new tools and languages, and excited about building things and experimenting.
You go above and beyond to help your team
You should be able to work alongside experienced engineers, designers, and product managers to help deliver new customer-facing features and products.
You have a degree in Computer Science, Data Science, or a related field, and 4-6 years of industry or equivalent experience

Senior Data Scientist

Key skills