Principal DataOps - AI/ML

September 15

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501 - 1000 employees

Founded 1997

🏛️ Government

📋 Compliance

Description

• Design and implement scalable MLOps supportive data pipelines • Support and maintain DataOps components of cloud infrastructure • Ensure data quality, availability, and reliability • Collaborate with data scientists to deploy DataOps supporting ML models • Set up monitoring and alerting systems for model performance • Automate DataOps for model retraining and deployment processes • Work closely with cross-functional teams • Provide technical leadership and mentorship to junior engineers • Drive best practices for DataOps and MLOps • Implement and optimize CI/CD pipelines • Develop and enforce standards for version control and testing • Ensure compliance with data privacy and security regulations • Implement robust security measures to protect data and models

Requirements

• Bachelor's Degree or Advanced Degree where required • 8+ Years of Experience • In lieu of degree, 10+ years exp. • Extensive experience in DataOps and MLOps • Proficiency in languages such as Python, SQL, Scala, Glue • Hands-on experience with cloud platforms (AWS, Snowflake) • Strong understanding of CI/CD for data engineering • Strong knowledge of machine learning frameworks and libraries • Excellent problem-solving skills • Strong communication and leadership skills • Strong understanding of Metadata driven workflows, data architecture, semantics and data governance

Benefits

• Competitive health benefits • Bonus plans based on performance • 401(k) with employer match • Paid time off (plus two well-being days) • Variety of career development and wellness programs