About Careertakes

👉 Important disclosure: Careertakes is a third-party recruiting platform supporting this hiring process. If selected, you will be employed directly by our client, Graduate.

Applicants for this role may also receive access to additional matched opportunities through the Careertakes platform.

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Role overview

Confidential Client is hiring a new-college-graduate Associate AI & Data Engineering Engineer based in Warren, MI (hybrid). This entry-level engineering role offers hands-on experience across data pipelines, machine learning workflows, backend services, and front-end components. You'll work with experienced engineers on production-facing systems and modern AI infrastructure while building strong foundational engineering skills.

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Responsibilities

• Develop and maintain data pipelines, analytics workflows, and datasets that support machine learning and data-driven systems
• Contribute to design, training, evaluation, and deployment of ML models under guidance from senior engineers and data scientists
• Support AI infrastructure work — containerized workloads, batch processing, and model-serving APIs
• Write production-quality code (Python, Java, or Go as applicable)
• Build UI components or dashboards using React or standard web technologies
• Follow engineering best practices: version control, testing, documentation, and code reviews
• Collaborate in sprint planning, design discussions, and technical reviews

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Minimum qualifications

• Bachelor’s degree in Computer Science, Data Science, Engineering, Mathematics, or a related field (recent or upcoming graduate)
• Strong programming fundamentals and familiarity with data structures and algorithms
• Basic database knowledge (SQL or NoSQL)
• Foundational understanding of data science / ML concepts (model training and evaluation)
• Familiarity with at least one modern front-end framework or a willingness to learn
• Comfortable working in Linux-based environments and using developer tools (Git, CLI, build systems)
• Interest in cloud, AI, and platform technologies

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Preferred qualifications (competitive edge)

• Internship, research project, or academic experience in ML, data engineering, cloud platforms, or software development
• Exposure to Docker, Kubernetes, or workflow orchestration systems
• Experience with ML frameworks such as scikit-learn, PyTorch, or TensorFlow
• Experience building web interfaces, dashboards, or interactive visualizations
• Familiarity with cloud providers (AWS, Azure, or GCP)

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What success looks like in the first 3–6 months

• Contributing meaningful code to production or pre-production systems
• Owning tasks related to AI infrastructure, data pipelines, ML workflows, or application components
• Gaining a working understanding of team architecture, tools, and deployment processes
• Demonstrating initiative in learning new technologies and participating in technical discussions
• Building confidence in debugging, documenting, and collaborating across the engineering lifecycle

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Work arrangement & location

• Work arrangement: Hybrid — expected to be on-site at least three times per week
• Location: Warren, MI (Confidential Client’s Warren technical center — Cole Engineering Center)
• Estimated salary: $100,733 per year (estimated)
• Immigration sponsorship: Confidential Client does not provide immigration-related sponsorship for this role. Do not apply if you will require sponsorship now or in the future (including H-1B, OPT/STEM OPT, CPT, TN, J-1, etc.).

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Benefits (representative)

• Medical, dental, and vision plans and related wellness programs
• Retirement savings plan
• Paid time off and paid holidays
• Tuition assistance and professional development support
• Employee assistance resources and potential vehicle/other employee discounts
• Role may be eligible for relocation assistance

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Why this role is a strong fit for new graduates

• Broad exposure across AI, data engineering, and full-stack development to explore multiple career paths
• Mentorship from experienced engineers and structured opportunities for technical growth
• Work on impactful, production-level AI capabilities within a collaborative team that values learning and experimentation

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Equal Opportunity & Hiring Transparency

Careertakes and our client are Equal Opportunity Employers committed to building a diverse and inclusive workforce. We prohibit discrimination or harassment of any kind. To support a fair and efficient hiring process, AI tools may be used to assist with application review or resume screening. These tools do not replace human decision-making. Final hiring decisions are made by people.

If you have questions about how your data is used, please contact us directly.