YOUR SKILLS & ABILITIES (REQUIRED QUALIFICATIONS):

• Bachelor’s degree in AI/ML, Data Science, Computer Science, Computer Engineering, Mathematics, Information Technology or a closely related concentration; or equivalent knowledge to a Bachelor’s degree with the same concentration combined with 7+ years of full-time relevant experience
• Proven experience in business or systems analysis, including translating business needs into technical requirements for data-driven projects
• Hands-on experience with Python and data analysis libraries (e.g., Pandas, NumPy, Matplotlib )
• Demonstrated experience with one or more machine learning frameworks (e.g., Scikit-learn, TensorFlow, PyTorch )
• Proficiency with databases (e.g., SQL, NoSQL ) and data modeling
• Familiarity with agile methodologies (e.g., Scrum, Kanban)
• Experience in model validation techniques and data quality assurance
• Basic understanding of CI/CD and MLOps principles and tools

PEOPLE SKILLS:

• Excellent problem-solving, communication, and collaboration skills
• A passion for learning new technologies and a proactive approach to tasks

WHAT WILL GIVE YOU A COMPETITIVE EDGE (PREFERRED QUALIFICATIONS):

• Broader experience with MLOps tools and practices (e.g., Kubeflow, MLflow)
• Experience with AI Coding tools such as GitHub CoPilot
• Experience in Supply Chain and/or Manufacturing

THE ROLE:

As an AI/ML Senior Systems Analyst, you will be a key contributor to solving complex business challenges by designing and implementing intelligent solutions. You will leverage your skills in business analysis, data analytics, and AI/ML development to translate business needs into technical specifications and robust systems. Working within an agile team, you will focus on delivering value through data-driven insights, iterative model development, and continuous improvement.

WHAT YOU’LL DO (RESPONSIBILITIES):

• Analyzing business problems, defining requirements, and designing AI/ML-powered solutions to address them.
• Performing data exploration, cleansing, and preparation; developing and validating predictive and prescriptive models using Python and relevant ML frameworks (e.g., Scikit-learn, TensorFlow, PyTorch).
• Designing, coding, testing, debugging, and documenting AI/ML models and the systems that support them.
• Collaborating with your team to understand requirements, participate in design discussions, and contribute to accurate effort estimation.
• Developing processes for model validation, performance monitoring, and data quality assurance to ensure reliability.
• Assisting in the deployment, monitoring, and troubleshooting of models and applications in various environments, contributing to MLOps pipelines.
• Actively participating in team meetings, sharing knowledge, and seeking opportunities for professional growth and development.

GM DOES NOT PROVIDE IMMIGRATION - RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP NOW OR IN THE FUTURE. THIS INCLUDES DIRECT COMPANY SPONSORSHIP, ENTRY OF GM AS THE IMMIGRATION EMPLOYER OF RECORD ON A GOVERNMENT FORM, AND ANY WORK AUTHORIZATION REQUIRING

A WRITTEN SUBMISSION OR OTHER IMMIGRATION SUPPORT FROM THE COMPANY (e.g., H - 1B, OPT, STEM OPT, CPT, TN, J - 1, etc.)
• This job may be eligible for relocation benefits.

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