ML Machine Learning Engineer

Responsibilities
· Regularly engage with business teams to understand their needs and imperatives and operationalize a framework for end to end of model development life cycle.
· Communication with release manager on product related issues and enhancements.
· Uplift existing system to new Client platform and conduct migration testing Automated transformation and data analysis pipeline to create visualization reports and monitoring
· Capability of implementing REST/function API with various types of database
· Review metadata, provide trouble shooting and change requirement between file batches
· Capability of writing, debugging and compiling codes in Machine learning Operation environment
· More than 70%+ of the time spent on coding and/or hands-on technical implementation of re-usable frameworks to drive adoption of Machine Learning in Client

Qualifications
· At least 3+ years of experience in the following areas: Bachelor or Master degree in Computer Science, Computer Engineering.
· Hands on knowledge of JAVA, Python, Rest API, Function API, SQL/Hive QL
· Deep understanding of CI/CD process and tools like †" Git, Docker, Jenkins, XL Release etc.
· Experience with SQL/NSQL databases (MongoDB, Couchbase, Postgres, Cassandra)
· Knowledge in public cloud platforms like AWS, GCP, and Azure
· Ability to scale to big data framework (Hive, pySpark)
· Nice to have experience with any of the Container technologies
· Kubernetes, Helm, Openshift etc.
· Prefer knowledge on Airflow, MLflow.
· Ability to work in cross functional teams
· Excellent data presentation and visualization skills