Full-Time Senior MLOps Engineer

We are seeking a skilled MLOps Engineer with expertise in MLOps or DevOps, Google Cloud Platform (GCP), SQL databases, and Kubernetes to join our team. Responsibilities include automation, documentation, and collaboration with Data Science and Data & Analytics teams for seamless integration of ML workflows.

Join us to drive innovation and operational excellence as we navigate the cutting edge. Enjoy remote work with the option to engage at our Deerfield office.

This role offers career growth and leadership opportunities.

Responsibilities:

1. Collaborate with Data Science team to integrate ML workflows into new ML orchestration platform, Union.ai (or the open-source project Flyte).
2. Integrate our ML and AI models and products in consumer-facing IoT products and internal business analytics to scale.
3. Ensure smooth integration of ML models into production environments.
4. Establish observability tools and practices to monitor deployment process, and system health and performance.
5. Utilize Git for version control and collaboration on codebase.
6. Lead the development and migration of existing infrastructure and codebase to the new ML orchestration platform.
7. Maintain Python code for ML and data pipelines.
8. Document procedures, configurations, and best practices to ensure knowledge sharing and repeatability of processes.
9. Monitor and maintain Kubernetes infrastructure for optimal performance and reliability.
10. Manage database maintenance tasks and ensure data integrity within Snowflake.
11. Implement node pool autoscaling to dynamically adjust resources based on workload demands.
12. Administer cloud storage solutions and ensure data availability and durability.

Basic Qualifications:

• 4+ years of experience in MLOps or DevOps.
• Highly proficient in writing clean, robust Python code.
• 3+ years of hands-on experience in cloud computing (e.g., GCP).
• 3+ years of hands-on experience in Kubernetes and containers with track record in deployment of jobs at scale to production.
• Good expertise in SQL database (e.g., PostgreSQL, Snowflake).
• Intermediate to advance knowledge of data pipeline or ML orchestration. Experience or willingness to learn Union.ai (or Flyte) is a plus.
• Track record of implementing monitoring and observability solutions (e.g., Datadog).
• Excellent communication skills.
• Proven ability to decompose complex technical challenges.
• Ability to adapt and balance delivery, attention to detail with constraints and pragmatism.

Additional Information:

• Fortune Brands believes in fair and equitable pay. Salary range: $125,000 USD - $160,000 USD.
• Additional benefits, including comprehensive health plans, 401(k) program, employee resource groups, and more.

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