V2X Applied Data Science MLOps Leader
General Motors

Roswell, Georgia

Posted in Automotive

This job has expired.

Job Info

About GM

There's never been a more exciting time to work for General Motors.

To achieve our vision of a world with Zero Crashes, Zero Emissions and Zero Congestion, we need people to join us who are passionate about creating safer, better and more sustainable ways for people to get around. This bold vision won't happen overnight, but just as we transformed how the world moved in the last century, we are committed to transforming how we move today and in the future.

Why Work for Us

Our culture is focused on building inclusive teams, where differences and unique perspectives are embraced so you can contribute to your fullest potential as you pursue your career. Our locations feature a variety of work environments, including open work spaces and virtual connection platforms to inspire productivity and flexible collaboration. And we are proud to support our employees volunteer interests, and make it a priority to join together in efforts that give back to our communities.

Job Description

GM's Information Technology team is pursuing an Applied Data Science MLOps Leader to head an agile development team analyzing data, building ML models in support of V2X storage systems. The Applied Data Science MLOps Leader will be responsible for innovative analytics and machine learning models that coordinate EV load management, helping accelerate the effort to achieve a cleaner, safer, and more energy efficient future. GM is currently seeking an individual with agile leadership experience applying Data Science and Modeling techniques to tackle complex business problems. The Applied Data Science MLOps Leader will manage a multi-disciplined team investigating opportunities to leverage core GM battery technology in new growth areas.

Objectives & Key Deliverables

You build predictive models and machine-learning algorithms.

You analyze large amounts of information to discover trends and patterns.

Undertake preprocessing of structured and unstructured data.

Monitor and sustain model effectiveness.

Combine models through ensemble modeling.

Present complex information using data visualization techniques.

Propose solutions and strategies to business challenges that drive business impact.

Lead a high-performing, agile development team building data sets, analytics, Models in support of distributed battery management solutions.

Ensure full compliance with applicable consumer privacy statutes.

Collaborate with internal and external partners to evaluate product solutions to ensure efficient, safe, and reliable designs.

Collaborate in a team environment and/or take charge of opportunities to develop optimal solutions for customers and development programs.

Additional Job Description

Required Skills / Experience / Education:

  • Bachelor's degree in computer science or relevant engineering field required.
  • Master's degree in computer science or electrical engineering desired.
  • 7 or more years proficiency in one or more core analytical tools / suites / languages such as Python, R, Spark Scala, Jupyter Notebooks, Azure DevOps\MLOps and understand their limitations.
  • Python proficiency required (Sklearn, numpy), GPU programming, NVidia CUDA, PyTorch, Caffe, CNTK, or TensorFlow framework.
  • Experience in modern hyperscale ML pipelines including technologies such as Kubernetes, Spark, DASK, Docker, and Argo
  • Applying machine learning methodology, with emphasis on applying and integrating machine learning with traditional analytic methods.
  • Manipulating high-volume, high-dimensionality data from varying sources to highlight patterns, anomalies, relationships and trends with machine learning techniques
  • Modeling data abstractions employing multiple non-linear mathematical and statistical modeling approaches
  • Demonstrated high level of skills required to effectively lead, motivate, and facilitate others in group situations.

Benefits Overview

The goal of the General Motors total rewards program is to support the health and well-being of you and your family. Our comprehensive compensation plan incudes, the following benefits, in addition to many others:
• Paid time off including vacation days, holidays, and parental leave for mothers, fathers and adoptive parents;
• Healthcare (including a triple tax advantaged health savings account and wellness incentive), dental, vision and life insurance plans to cover you and your family;
• Company and matching contributions to 401K savings plan to help you save for retirement;
• Global recognition program for peers and leaders to recognize and be recognized for results and behaviors that reflect our company values;
• Tuition assistance and student loan refinancing;
• Discount on GM vehicles for you, your family and friends.

Diversity Information

General Motors is committed to being a workplace that is not only free of discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that workforce diversity creates an environment in which our employees can thrive and develop better products for our customers. We understand and embrace the variety through which people gain experiences whether through professional, personal, educational, or volunteer opportunities.GM is proud to be an equal opportunity employer.

We encourage interested candidates to review the key responsibilities and qualifications and apply for any positions that match your skills and capabilities.

Equal Employment Opportunity Statements

The policy of General Motors is to extend opportunities to qualified applicants and employees on an equal basis regardless of an individual's age, race, color, sex, religion, national origin, disability, sexual orientation, gender identity/expression or veteran status. Additionally, General Motors is committed to being an Equal Employment Opportunity (EEO) Employer and offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us atCareers.Accommodations@GM.com. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

This job has expired.

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