Machine Learning Engineer

Experience Required:

MS or BS in Computer Science, Information Science, Engineering or other related field

Skills

5+ years’ experience in designing and developing enterprise class Platforms and solutions

3+ years implementing Data ops, ML ops

Deep understanding and hands on experience with ML Engineering techniques and tools including hands on experience with ML Operations.

Experience with the primary managed data services within Google Cloud Platform , including AI Vertex, Cloud Big table, Cloud Spanner, Cloud SQL, or Big Query

Proficient in Data Science workbenches such as Domino, Container platform such as K8s/Docker, Core Java, J2EE, JSP, Servlet, Node.js, Angular,

Proficient in Big Data Technologies, Data Transport (Pulsar/Kafka), Spark, Jupyter/ Python.

Experience working with multiple databases: Cassandra, PostGreS, Teradata. and NoSQL and RDBMS Technologies Container platform such as K8s/Docker,

Experience with various agile methodologies and tools: JIRA, Confluence, Gitlab, CICD, etc.

Exposure to product based development methodology is desirable

Strong leadership, communication, persuasion and teamwork skills