• US Citizen

• Green Card

• EAD (OPT/CPT/GC/H4)

• H1B Work Permit

• Corp-Corp

• W2-Permanent

• W2-Contract

• Contract to Hire

• Consulting/Contract

• UG :- - Not Required

• PG :- - Not Required

• No of position :- ( 1 )

• Post :- 18th Apr 2025

In addition to development, a key focus of this role will be designing and implementing comprehensive testing strategies, including unit, integration, and end-to-end tests. Additional responsibilities will include helping to build, release, and maintain model pipelines and model APIs. This will involve working with our cloud tech stack, CI/CD pipelines, and containers, and collaborating with data scientists, machine learning engineers, DevOps, and InfoSec teams to deploy new projects and ensure the success of model releases and retraining activities.

What you’ll be doing

• Work with the machine learning engineering team to develop and implement robust testing strategies, including unit, integration, and end-to-end tests
• Build a maintain scalable machine learning pipelines on AWS cloud platforms using SageMaker and Snowflake
• Assist in deploying machine learning models into production environments, ensuring scalability, reliability, and performance
• Maintain and monitor existing pipelines and model APIs to ensure optimal functionality
• Work closely with data scientists, machine learning engineers, DevOps and InfoSec teams to initiate and manage various releases
• Translate business requirements into technical solutions through effective communication
• Translate technical project details into clear documentation and intuitive diagrams that help integrate information flows with upstream and down stream teams
• Graduate degree in a quantitative discipline (or equivalent experience) or will be completed within three months.