Description

You will design and develop enterprise-class platforms and machine learning solutions, owning the release pipeline and model lifecycles.

This role is on-site.

Responsibilities

• Design and develop enterprise-class platforms and ML solutions.
• Implement DataOps and MLOps workflows to support model lifecycles.
• Deploy and manage applications using container platforms like Kubernetes and Docker.
• Utilize Big Data technologies and data transport layers for large-scale processing.
• Collaborate within agile environments using standard development and CI/CD tools.

Required Skills

• 5+ years of experience designing and developing enterprise-class platforms.
• 3+ years of experience implementing DataOps and MLOps.
• Proficiency in Python and Jupyter.
• Hands-on experience with Google Cloud Platform services including Vertex AI, Cloud Bigtable, Cloud Spanner, Cloud SQL, or BigQuery.
• Experience with container platforms such as K8s and Docker.
• Strong background in Core Java, J2EE, JSP, and Servlet.
• Experience with Node.js and Angular.
• Knowledge of Big Data technologies and data transport via Pulsar or Kafka.
• Proficiency with Gitlab, CI/CD, JIRA, and Confluence.

Preferred Skills

• Experience with Spark and databases including Cassandra, PostgreSQL, Teradata, NoSQL, and RDBMS.

Education

• MS or BS in Computer Science, Information Science, or Engineering.

Key Skills

Education

MS or BS in Computer Science