General Motors is seeking a highly skilled and motivated AI/ML Scientist Manager to join our innovative and dynamic team. As a leader in the automotive industry, we are looking for a talented individual who can drive our AI and machine learning initiatives forward. In this role, you will be responsible for managing a team of AI/ML scientists and engineers, developing cutting-edge solutions and applications, and collaborating with cross-functional teams to implement AI and ML technology throughout the organization. The ideal candidate will have a strong background in AI/ML and a passion for discovering new and innovative ways to utilize these technologies in the automotive industry. If you are a driven and creative individual who is ready to make a significant impact in the world of AI and ML, we encourage you to apply for this exciting opportunity at General Motors.
- Lead and manage a team of AI/ML scientists and engineers, providing guidance, direction and support to ensure successful completion of projects and initiatives.
- Develop and implement strategies for incorporating AI and ML technology into various aspects of the automotive industry.
- Collaborate with cross-functional teams to identify business needs and develop solutions that utilize AI and ML technology.
- Stay current with industry trends and advancements in AI and ML, and proactively identify opportunities for implementation within the organization.
- Conduct research and experiments to discover new and innovative ways to utilize AI and ML in the automotive industry.
- Manage and prioritize multiple projects and initiatives, ensuring timely and efficient delivery.
- Provide technical expertise and support to the team, assisting with complex problem-solving and troubleshooting.
- Develop and maintain relationships with external partners and vendors to stay updated on advancements in AI and ML technology.
- Analyze and interpret data to make informed decisions and recommendations for improving AI and ML processes and applications.
- Train and mentor team members to enhance their skills and knowledge in AI and ML.
- Ensure compliance with ethical and legal standards in the development and implementation of AI and ML technology.
- Prepare and present reports and updates to senior management on the progress and impact of AI and ML initiatives.
- Collaborate with HR to recruit and onboard new team members with the necessary skills and expertise in AI and ML.
- Manage budget and resources effectively to support the goals and objectives of the AI and ML team.
- Represent General Motors as a subject matter expert in AI and ML technology at conferences, events, and industry forums.
A Strong Background In Artificial Intelligence And Machine Learning, With A Minimum Of 5 Years Of Experience In Developing And Implementing Ai/Ml Solutions In A Corporate Setting.
Knowledge And Experience With Relevant Programming Languages And Tools, Such As Python, R, And Tensorflow.
Demonstrated Leadership Skills And Experience Managing A Team Of Ai/Ml Scientists, With The Ability To Guide, Mentor, And Develop Team Members.
A Proven Track Record Of Successfully Applying Ai/Ml Techniques To Solve Complex Business Problems, Preferably In The Automotive Industry.
Excellent Communication And Collaboration Skills, With The Ability To Effectively Communicate Technical Concepts And Findings To Non-Technical Stakeholders And Work Cross-Functionally With Other Teams.
Data Analysis
Machine Learning
Deep Learning
Computer Vision
Natural language processing
Data Mining
Statistical modeling
Predictive analytics
Neural Networks
image recognition
Ai Development
Communication
Conflict Resolution
Leadership
Time management
Interpersonal Skills
creativity
Attention to detail
Teamwork
Adaptability
Problem-Solving
According to JobzMall, the average salary range for a AI/ML Scientist Manager is between $150,000 and $200,000 per year. However, this can vary depending on factors such as location, level of experience, and the specific company or industry. Some AI/ML Scientist Managers may earn up to $250,000 or more per year, while others may earn closer to $100,000. Other factors such as bonuses, benefits, and stock options may also impact
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