Job Information
Proofpoint, Inc. Machine Learning Ops Engineer [REQ# K172] in Pittsburgh, Pennsylvania
POSITION: Machine Learning Ops Engineer
LOCATION: 40 24th Street, Pittsburgh, PA 15222
DUTIES: Collaborate with cross-functional teams, including data scientists, product managers, data engineers, and software engineers, to design, develop and deploy machine learning models that meet business requirements. Develop and maintain MLOps infrastructure to automate the training, deployment, and monitoring of machine learning models in production environments. Develop and maintain continuous integration and delivery pipelines for machine learning models, ensuring that they are tested, validated, and deployed in a consistent and reliable manner. Perform data analysis and feature engineering to support machine learning model development. Stay up to date with the latest advancements in machine learning and MLOps and evaluate new technologies that can improve our processes and models. Provide mentorship and technical guidance to junior data scientists and machine learning engineers. **Telecommuting arrangement available within same geographic location as assigned worksite location.
MINIMUM EDUCATION: Bachelor's degree or foreign equivalent in Computer Science, Electrical Engineering, Math, or a related field.
MINIMUM EXPERIENCE: Two (2) years of experience in the job offered or a related occupation.
REQUIRED SKILLS: Knowledge of and/or experience with (can be gained through education and/or experience):
• AWS or Microsoft Azure • Lambda, Sagemaker, EC2 instances and S3 • SQL • Data warehousing in PostgreSQL or Snowflake or Redshift • Machine learning models and concepts • Training, developing and building models using Python or Java or R • Dataiku
- The skills, knowledge and/or experience listed here need not be maintained over the full term of experience noted above.