Job Title: Software Engineer - ML Tools Support and Management - 314879

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Please note: Trillium Teamologies does not provide sponsorship, including H1, OPT, and CPT, nor do we engage in C2C or C2H arrangements.

We exclusively hire W2 direct employees.

**Hybrid Position - Remote from Michigan **

Position Description: GDI&A Tech is seeking a Software Engineer to focus on supporting and managing various ML Tools. In this role, you will be part of a small, cross-functional team collaborating directly with other software engineers, tech anchors, product managers, and cross-functional teams. The team's responsibilities include managing and supporting different tools and services across the AIAC platform, providing essential support to end-users throughout Ford.

Skills Required:

• Collaborate closely with Tech Anchor, Product Manager, and Product Owner to manage machine learning tools using Agile Methodology.
• Utilize the latest ML, Gen AI, and Google Cloud Platform technologies and tech stacks.
• Drive PoCs/Discoveries of new tools and technologies to support a robust ML Platform.
• Collaborate with other software engineers to understand platform vision, break out tasks, and help solve complex issues.
• Provide proactive end-user support for various ML tools, resolving issues efficiently.
• Grow technical capabilities and expertise, providing guidance to other software engineers on the team.

Skills Preferred:

• Demonstrated ability to be a self-starter and come up with innovative solutions.
• Bachelor s degree in computer science or a similar discipline.
• Experience working with OpenShift, Google Cloud Platform, and Gen AI projects.
• Application of Agile practices to solution delivery.
• Experience in all phases of the development lifecycle.
• Strong team orientation with excellent communication and presentation skills.
• Openness to learning new technology.
• Knowledge of coding and software engineering best practices.

Experience Required:

• 4+ years of work experience as a software engineer with exceptional software engineering knowledge.
• 2+ years of experience and a good understanding of OpenShift, Google Cloud Platform, DevOps, CI/CD, Docker, Kubernetes, and GitHub. Familiarity with Python is advantageous.
• Understanding or a strong desire to learn the end-to-end Machine Learning and Gen AI technology stack (Tools such as Kubeflow, Airflow, Seldon Core, Weights & Biases, Labeling tools, etc.).
• Strong communication and presentation skills with a willingness to share knowledge and collaborate with others.

Experience Preferred:

• Some experience in Python.

Education Required:

• Bachelor s degree in Computer Science, Computer Engineering, or a similar technical discipline.

Education Preferred:

• None specified.

Additional Information:

• Hybrid Position. General coding proficiency test required.