Machine Language Engineer

Location: Oakland
Category: Software Development
Employment Type: Contract
Work Location: Remote
Job ID: 35026
Date Added: 06/14/2024

Mainz Brady Group is currently looking for remote contract Machine Learning Engineer for a fortune 100 client. Please review and send your resume for consideration to with Job ID 35026 in the subject line.

Job Summary: Partner with ML Engineers and Data Scientists to enable ML applications with high-quality datasets. Enhance core infrastructure components and work across the ML lifecycle.
  • Collaborate to understand data needs.
  • Collect data from various systems.
  • Develop and maintain data pipelines.
  • Automate ETL jobs with Airflow and Jenkins.
  • Improve data infrastructure.
  • Conduct data analysis and strategy consultancy.
  • Promote quality, innovation, and experimentation.
  • Work in an Agile, collaborative environment.
  • Mentor colleagues on best practices.
  • 5+ years in data engineering.
  • Experience with AWS, Databricks, Spark.
  • Experience with streaming pipelines (Kafka, Spark).
  • Experience with cloud databases (Redshift, Snowflake).
  • Backend microservices (gRPC, REST).
  • Knowledge of Airflow or similar tools.
  • Excellent communication skills.
  • Familiarity with ML pipelines and AWS.
  • Experience with ML infrastructure.
  • Experience with media streaming applications.

Mainz Brady Group is a technology staffing firm with offices in California, Oregon and Washington.  We specialize in Information Technology and Engineering placements on a Contract, Contract-to-hire and Direct Hire basis.  Mainz Brady Group is the recipient of multiple annual Excellence Awards from the Techserve Alliance, the leading association for IT and engineering staffing firms in the U.S.

Mainz Brady Group is an Equal Opportunity Employer.  We are committed to Diversity & Inclusion and incorporate non-discrimination best practices in all of our staffing processes.  Mainz Brady Group does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, gender expression, age, disability or any other protected class.

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