Sr Manager Data Engineering MLOps NBCU Media Group
Sr Manager Data Engineering MLOps NBCU Media Group
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1 Vacancy
Job Description
Our DirecttoConsumer (DTC) portfolio is a powerhouse collection of consumerfirst brands supported by media industry leaders Comcast NBCUniversal and Sky. When you join our team youll work across our dynamic portfolio including Peacock NOW Fandango SkyShowtime Showmax and TV Everywhere powering streaming across more than 70 countries globally. And the evolution doesnt stop there. With unequalled scale our teams make the most out of every opportunity to collaborate and learn from one another. Were always looking for ways to innovate faster accelerate our growth and consistently offer the very best in consumer experience. But most of all were backed by a culture of respect. We embrace authenticity and inspire people to thrive.
In this role the Sr. Manager Operations will share responsibilities in the development and maintenance of TechOps tooling and automation to optimize highly available data pipelines that facilitate deeper analysis and reporting by the business as well as support ongoing operations related to the Direct to Consumer data ecosystem. The candidate will act as a liaison between data engineering and other teams advocating for datadriven decision making and best operational practices.
Responsibilities include but are not limited to:
- Manage and mentor a highperformance team of ML and Data Engineers
- Collaborate with Data Science teams to transform experimental ML models into robust productionready applications ensuring scalability performance optimization and minimal latency.
- Develop and maintain automated observable and secure data and model pipelines embracing a you build it you run it approach and focusing on automation and GitOps practices.
- Drive the evaluation and selection of technologies for MLOps model monitoring and CI/CD ensuring alignment with organizational goals and industry best practices.
- Facilitate crossfunctional agile ceremonies and story definition ensuring that business stakeholders acceptance criteria are integrated effectively.
- Partner with Principal Engineers and Architects to contribute to and align with the broader technical vision for ML operations.
- Champion best practices within the ML Engineering team continuously raising the bar on performance efficiency and reliability.
- Operationalize data processing systems and enable SRE practices for model observability and reliability in production.
Qualifications :
- 7 years of relevant experience in Machine Learning Engineering Data Engineering or MLOps with a focus on operationalizing ML models in production.
- Proven leadership skills with experience managing and mentoring ML or Data Engineering teams.
- Strong background in creating and maintaining data and model pipelines for a largescale ML environment.
- Proficiency in designing scalable distributed and highly available systems using cloud platforms (Google Cloud or AWS preferred; AWS experience a plus).
- Expertise with orchestration and workflow tools such as Apache Airflow and familiarity with CI/CD pipelines for ML models.
- Proficiency in one or more programming languages such as Python Java or Scala with experience in writing reusable and efficient code for automating ML processes.
- Handson experience with technologies like Kubernetes Apache Spark Snowflake Databricks or equivalent.
- Deep understanding of MLOps best practices including model monitoring serving versioning and automated retraining.
Desired Characteristics
- Strong understanding of TestDriven Development with a focus on creating automated tests for model validation and deployment.
- Experience with structured and unstructured data processing including integration with diverse data sources (e.g. advertising metrics consumer devices).
- Teamoriented with an aptitude for learning and adopting new technologies tools and best practices.
- Effective at fostering constructive dialogue and resolving complex issues in a collaborative crossfunctional setting.
- Pride and ownership in your work and confident representation of your team to other parts of NBCUniversal
Hybrid: This position has been designated as hybrid generally contributing from the office a minimum of three days per week.
This position is eligible for company sponsored benefits including medical dental and vision insurance 401(k) paid leave tuition reimbursement and a variety of other discounts and perks. Learn more about the benefits offered by NBCUniversal by visiting the Benefits page of the Careers website.
Salary range: $140000$180000 (bonus and LTI eligible)
Additional Information :
As part of our selection process external candidates may be required to attend an inperson interview with an NBCUniversal employee at one of our locations prior to a hiring decision. NBCUniversals policy is to provide equal employment opportunities to all applicants and employees without regard to race color religion creed gender gender identity or expression age national origin or ancestry citizenship disability sexual orientation marital status pregnancy veteran status membership in the uniformed services genetic information or any other basis protected by applicable law.
If you are a qualified individual with a disability or a disabled veteran and require support throughout the application and/or recruitment process as a result of your disability you have the right to request a reasonable accommodation. You can submit your request to .
Remote Work :
No
Employment Type :
Fulltime
Employment Type
Full-time
