GCP Data Engineer – Machine Learning - kyyba : Job Details

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Job Title: GCP Data Engineer – Machine Learning

Are you a GCP Data Engineer seeking a dynamic and rewarding opportunity? Our client, a leading company in Automotive, is looking for a talented GCP Data Engineer to join their growing team in Dearborn, MI.

About Kyyba:

Founded in 1998 and headquartered in Farmington Hills, MI, Kyyba has a global presence delivering high-quality resources and top-notch recruiting services, enabling businesses to effectively respond to organizational changes and technological advances.

At Kyyba, the overall well-being of our employees and their families is important to us. We are proud of our work culture which embodies our core values; incorporating value, passion, excellence, empowerment, and happiness, creates a vibrant and productive atmosphere. We empower our employees with the resources, incentives, and flexibility that they need to support a healthy, balanced, and fulfilling career by providing many valuable benefits and a balanced compensation structure combined with career development.

Job Description

We are seeking an experienced Machine Learning Engineer to design, implement, and maintain robust analytics pipeline solutions. These solutions will support the analysis, modeling, and prediction of upstream and downstream auction prices, directly benefiting the Business and Sales Planning Analytics (BSPA) Used Vehicle Analytics team and its customers. The ideal candidate will excel at developing ML/Software Engineering Solutions, performing DevSecOps, and collaborating with cross-functional teams (including ML Engineers, Data Scientists, and Data Engineers) to improve processes and drive business performance. Responsibilities include:

Develop, build, and maintain infrastructure required for machine learning, including data pipelines, model deployment platforms, and model monitoring.

Develop and maintain tools and libraries to support the development and deployment of machine learning models.

Automate machine learning workflows using DevSecOps principles and practices.

Collaborate with development and operations teams to implement software solutions that improve system integration and automation of ML pipelines.

Design, develop, and manage data flows and APIs between upstream systems and applications.

Troubleshoot and resolve issues related to system communication, data flow, and data quality.

Collaborate with technical and non-technical teams to gather integration requirements and ensure successful deployment of data solutions.

Create and maintain comprehensive technical documentation of software components.

Work with IT to ensure systems meet evolving business needs and comply with data governance policies and security requirements.

Implement and enforce the highest standards of data quality and integrity across all data processes.

Manage deliverables through project management tools.

Experience Required:

• 3+ years of experience in developing and deploying machine learning models in a production environment.
• 3+ years of experience in programming with Python.
• 3+ years of hands-on experience utilizing Google Cloud Platform (GCP) services, including BigQuery, Google Cloud Storage, Cloud Composer, and Cloud Run.
• Experience with version control systems like GitHub.
• 3+ years of experience with code quality and security scanning tools such as SonarQube, Cycode, and FOSSA.
• 3+ years of experience with data engineering tools like Kubernetes, CaaS platforms, OpenShift, DataProc, Spark (PySpark), or Airflow.
• Experience with CI/CD practices and tools, including Tekton or Terraform, and containerization technologies like Docker or Kubernetes.
• Excellent problem-solving and analytical skills focused on data-driven solutions.
• Familiarity with cloud platforms like AWS, Azure, or GCP.
• Familiarity with Atlassian tools (Jira, Confluence) and agile practices.

Skills Preferred:

• Ability to thrive in dynamic environments, managing multiple priorities and delivering results with limited information.
• Exceptional problem-solving skills, proactive and strategic mindset, and a passion for data engineering innovation.
• Commitment to continuous learning and professional development.
• Familiarity with ML libraries such as TensorFlow, PyTorch, or Scikit-learn.
• Experience with MLOps tools and platforms.

Location: Dearborn, MI

Page Range: $60-$68 with benefits

Disclaimer:

Kyyba is an Equal Opportunity Employer. We do not discriminate based on race, religion, color, sex, gender identity, sexual orientation, age, disability, national origin, veteran status, or any other protected basis. Minorities, females, veterans, and individuals with disabilities are encouraged to apply. Employment decisions are based on qualifications, merit, and business need. Reasonable accommodations are provided upon request.

Rewards:

• 401k
• Term life
• Voluntary life and disability insurance
• Pre-paid legal plan
• Identity theft plan
• Medical and dependent FSA
• Opportunities for advancement
• Long-term assignment with potential for hire

Selected Awards:

• INC 5000 for 10 years
• Michigan Economic Bright Spots
• Crain's Detroit Business Top Staffing Service
• TechServe Alliance Excellence Award
• Best of MichBusiness
• Metro Detroit Elite Recruitment
• Best & Brightest Companies in Michigan

Seniority level

• Mid-Senior level

Employment type

• Contract

Job function

• Information Technology

Industries

• Technology, Information and Media

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