ML Ops Engineer

ML Ops Engineer

Location: Bangalore

Technical Specification

If you are looking at working in a fast paced organization where you get an opportunity to explore, interact, present and own resolution customer problems through smart solutions then we have a brilliant opportunity for you. At Entomo, not only will you prosper professionally but you will see the direct impact of your work towards engaged customers.

• Exposure to setting up large scale smart REST APIs in AWS. Particularly very well versed with apigw, ec2, s3, beanstack, lambda

• Experience in Setting up large scale data pipeline and ML Pipeline.

• Must have experience in setting up complex ML pipeline using SageMaker and Airflow.

• Must have core pyhon3 development experience.

• Proactive and ability to work in teams, clear communicator.

• Ability to collaborate remotely with other team members/participants and flexibility in working across different time zones.

• Knowledge of software development and testing life cycle in an Agile environment

Good to Have:

• Metabase, Stitch

• Data pipeline