Job Number: R50026041
Brand: Fox Corporation
Job Type: Engineering, Technology
Location Type: Hybrid
Experience Level: Experienced Hires
Location: Los Angeles, California
Job Posting Date: July 23, 2024
We are looking for a senior ML Ops Engineer to lead and enhance our machine learning operations, ensuring the efficient deployment and management of our ML models for our personalization and recommendations team. The ideal candidate will be instrumental in bridging the gap between machine learning development and production operations, optimizing the machine learning lifecycle from data preparation to model monitoring and retraining.
A SNAPSHOT OF YOUR RESPONSIBILITIES
Lead the deployment, management, and operationalization of machine learning models in production environments
Foster collaboration between ML developers, data scientists, and DevOps engineers to facilitate the seamless integration of ML models into operational systems
Leverage expertise in cloud platforms (with a preference for AWS) and ML environments such as Databricks to build scalable and efficient ML workflows
Code proficiently in Python and utilize MLFlow for managing the ML lifecycle, including model tracking, deployment, and registry
Design, implement, and maintain automated pipelines for continuous integration and continuous delivery (CI/CD) of ML models
Employ advanced strategies for monitoring live services, including model performance tracking, model drift detection, and dynamic management of model retraining schedules
Contribute to system stability by ensuring thorough monitoring, high availability, and robustness of the ML operations infrastructure
Optimize ML systems for performance and cost, ensuring the use of best practices for version control and compliance with data privacy regulations
Drive innovation in ML Ops practices and encourage the adoption of new tools and technologies to stay at the forefront of the industry
Document ML operations processes and mentor team members on best practices in ML Ops
WHAT YOU WILL NEED
Bachelor's or Master's degree in Computer Science or Computer Engineering
Professional experience in ML Ops, data engineering, or DevOps with a focus on machine learning systems
Demonstrable experience in deploying and managing ML models in a large-scale production environment
Proficiency in Python programming and experience with MLFlow or similar tools for managing the ML lifecycle
Strong experience with cloud services, preferably AWS, and familiarity with Databricks or similar platforms
Experience with CI/CD tools, containerization (e.g., Docker), and orchestration technologies (e.g., Kubernetes)
Solid understanding of model monitoring techniques, including detecting and handling model drift
Comfortable working in fast-paced, innovative environments
Effective communication skills with the ability to collaborate cross-functionally
Prior leadership experience in managing ML projects or teams
Strong desire to keep up with the latest trends in AI/ML
NICE TO HAVE, BUT NOT A DEALBREAKER
A passion for sports is a huge plus!
#Ll-Hybrid
Learn more about Fox Tech at https://tech.fox.com
#foxtechWe are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, gender identity, disability, protected veteran status, or any other characteristic protected by law. We will consider for employment qualified applicants with criminal histories consistent with applicable law.
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