Senior Machine Learning Specialist

Oshawa, ON, Canada

Job Description




The Role:

We are looking for machine learning enthusiasts to join our team. As a senior machine learning specialist, you will be accountable for designing, modelling, developing, and implementing state-of-the-art models and solutions used to drive AI-centric innovations across the company.

As part of the team, you will have access to rich in-vehicle and business operations data for developing a mix of data analytics and machine learning based approaches. You will be contributing to the complete end-to-end process of developing AI solutions including gathering data requirements, building data processing pipelines, finding the best approaches to the problem, developing the AI models, building the appropriate application interface, and deploying the solution either to cloud or embedded systems. We also encourage publishing novel research at ML conferences or filing patents.

What You\'ll Do

  • Support other team members and the organization for AI use case exploration & for architecting complex AI solutions to solve ambiguous problems.
  • Design, implement and evaluate statistics methods, machine learning models, and other AI algorithms to deliver solutions with the best quality and highest performance.
  • Work in collaboration with IT to deploy AI solutions in a production environment.
  • Work in a fast-paced agile environment with cross functional teams and maintain relationship with key technical stakeholders.
  • Effective verbal and written communication of research findings and development status.
Additional

Your Skills & Abilities
  • MSc. or PhD in computer science, statistics, mathematics, or other relevant technical fields.
  • 3+ years of relevant industry experience with developing machine learning models.
  • Industry exposure in applying AI to one or more areas: Computer vision, natural language processing, robotics, and operations research.
  • Detailed knowledge of advanced statistics, probability, and of supervised, semi/self-supervised and unsupervised learning.
  • Hands-on experience using Python with a strong understanding of OOP and at least one machine learning framework such as Tensorflow and PyTorch
  • Experience in designing end-to-end machine learning systems
  • Demonstrated knowledge of algorithms and data structures
What Will Give You A Competitive Edge
  • Previous experience as a Tech Lead or experience in a similar role.
  • Publications and/or patents.
  • Experience with UNIX tools and shell scripting.
  • Experience with data tools and ecosystems (Hive, Spark, etc.).
  • Experience using SQL/NoSQL and knowledge in database management.
  • Experience using Power BI, Tableau, and/or other visualization tools.
  • Proficient programming skills in C and/or C++.
  • Experience in deploying solutions to embedded real time systems or to cloud.
Compensation and Benefits:
  • GM\xe2\x80\x99s Work Appropriately philosophy supports our foundation of inclusion and provides employees the flexibility to work where they can have the greatest impact on achieving our goals, dependent on role needs.
  • GM\xe2\x80\x99s comprehensive compensation and benefits plan is carefully designed and thoroughly benchmarked against the companies that we compete for talent in the local market.
The goal of the General Motors of Canada total rewards program is to support the health and well-being of you and your family. Our comprehensive compensation plan currently includes the following benefits, in addition to many others:
  • Paid time off including vacation days, holidays, and supplemental benefits for pregnancy, parental and adoption leave.
  • Healthcare, dental and vision benefits including health care spending account and wellness incentive.
  • Life insurance plans to cover you and your family.
  • Company and matching contributions to a Defined Contribution Pension 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 Employee Assistance Program.
  • GM Vehicle Purchase Plan for you, your family and friends.
About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us

We aspire to be the most inclusive company in the world. We believe we all must make a choice every day \xe2\x80\x93 individually and collectively \xe2\x80\x93 to drive meaningful change through our words, our deeds and our culture. Our Work Appropriately philosophy supports our foundation of inclusion and provides employees the flexibility to work where they can have the greatest impact on achieving our goals, dependent on role needs. Every day, we want every employee, no matter their background, ethnicity, preferences, or location, to feel they belong to one General Motors team.

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.

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 Statement

Accommodation is available for applicants with disabilities. Should you be contacted by General Motors of Canada, please advise if you require accommodation. General Motors of Canada values diversity and is an equal opportunity employer.

General Motors

Beware of fraud agents! do not pay money to get a job

MNCJobz.com will not be responsible for any payment made to a third-party. All Terms of Use are applicable.


Job Detail

  • Job Id
    JD2219150
  • Industry
    Not mentioned
  • Total Positions
    1
  • Job Type:
    Full Time
  • Salary:
    Not mentioned
  • Employment Status
    Permanent
  • Job Location
    Oshawa, ON, Canada
  • Education
    Not mentioned