ML Engineer

ML Engineer: Principal Responsibilities for the Role: Deploy and service ML/AI models developed by the Data Science team, using Brit's MLOps framework and considering the business requirements, scalability, and cost consideration of the service. Collaborate with ML Ops Engineers to maintain ML/AI services, ensuring operational availability to business users. Integrate ML/AI services into existing software applications across the organization or collaborate with other teams to develop new applications where applicable. Required Technical Skills: Experience developing and deploying Machine Learning solutions in a commercial environment. Experience running CI/CD pipelines within a DevOps/MLOps setup needed. Experience working with resources and infrastructure in Azure needed, including but not limited to Azure Functions, Storage and Machine Learning Experience in working with various ML libraries and packages, and programming in Python needed.

Location: bangalore, IN

Posted Date: 1/12/2025