GCP Data Engineer – Machine Learning
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:
• 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 and Google Cloud Storage to efficiently manage and process large datasets, as well as Cloud Composer and/or Cloud Run.
• Experience with version control systems like GitHub for managing code repositories and collaboration.
• 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 and technologies, such as, Kubernetes, Container-as-a-Service (CaaS) platforms, OpenShift, DataProc, Spark (with PySpark) or Airflow.
• Experience with CI/CD practices and tools, including Tekton or Terraform, as well as containerization technologies like Docker or Kubernetes.
• Excellent problem-solving and analytical skills, with a focus on data-driven solutions.
• Familiarity with cloud computing platforms like AWS, Azure, or Google Cloud Platform.
• Familiarity with Atlassian project management tools (e.g., Jira, Confluence) and agile practices.
Skills Preferred:
• Proven ability to thrive in dynamic environments, managing multiple priorities and delivering high-impact results even with limited information.
• Exceptional problem-solving skills, a proactive and strategic mindset, and a passion for technical excellence and innovation in data engineering.
• Demonstrated commitment to continuous learning and professional development.
• Familiarity with machine learning 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.
Kyyba does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. Minorities / Females / Protected Veterans / Individuals with Disabilities are encouraged to apply. All employment is decided on the basis of qualifications, merit, and business need.”
It is the policy of Kyyba to provide reasonable accommodation when requested by a qualified applicant or employee with a disability, unless such accommodation would cause an undue hardship. The policy regarding requests for reasonable accommodation applies to all aspects of employment, including the application process. If reasonable accommodation is needed, please contact Kyyba at 248-813-9665
Rewards:
Medical, dental, vision
401k
Term life
Voluntary life and disability insurance
Optional Pre-paid legal plan
Optional Identity theft plan
Optional Medical and dependent FSA
Work-visa sponsorship
Opportunity for advancement
Long-term assignment with opportunity for hire by client
SELECT AWARDS
· An INC 5000 company for 10 years
· Corp! Michigan Economic Bright Spots
· Crain’s Detroit Business Top Staffing Service Companies in Detroit
· TechServe Alliance Excellence Award- IT and Engineering Staffing & Solutions
· Best of MichBusiness winner in HR Wizards & Partnerships
· Metro Detroit Elite Category: Recruitment, Selection & Orientation for 101 Best & Brightest
· 101 Best & Brightest Companies to Work for in Michigan
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:
• 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 and Google Cloud Storage to efficiently manage and process large datasets, as well as Cloud Composer and/or Cloud Run.
• Experience with version control systems like GitHub for managing code repositories and collaboration.
• 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 and technologies, such as, Kubernetes, Container-as-a-Service (CaaS) platforms, OpenShift, DataProc, Spark (with PySpark) or Airflow.
• Experience with CI/CD practices and tools, including Tekton or Terraform, as well as containerization technologies like Docker or Kubernetes.
• Excellent problem-solving and analytical skills, with a focus on data-driven solutions.
• Familiarity with cloud computing platforms like AWS, Azure, or Google Cloud Platform.
• Familiarity with Atlassian project management tools (e.g., Jira, Confluence) and agile practices.
Skills Preferred:
• Proven ability to thrive in dynamic environments, managing multiple priorities and delivering high-impact results even with limited information.
• Exceptional problem-solving skills, a proactive and strategic mindset, and a passion for technical excellence and innovation in data engineering.
• Demonstrated commitment to continuous learning and professional development.
• Familiarity with machine learning 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.
Kyyba does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. Minorities / Females / Protected Veterans / Individuals with Disabilities are encouraged to apply. All employment is decided on the basis of qualifications, merit, and business need.”
It is the policy of Kyyba to provide reasonable accommodation when requested by a qualified applicant or employee with a disability, unless such accommodation would cause an undue hardship. The policy regarding requests for reasonable accommodation applies to all aspects of employment, including the application process. If reasonable accommodation is needed, please contact Kyyba at 248-813-9665
Rewards:
Medical, dental, vision
401k
Term life
Voluntary life and disability insurance
Optional Pre-paid legal plan
Optional Identity theft plan
Optional Medical and dependent FSA
Work-visa sponsorship
Opportunity for advancement
Long-term assignment with opportunity for hire by client
SELECT AWARDS
· An INC 5000 company for 10 years
· Corp! Michigan Economic Bright Spots
· Crain’s Detroit Business Top Staffing Service Companies in Detroit
· TechServe Alliance Excellence Award- IT and Engineering Staffing & Solutions
· Best of MichBusiness winner in HR Wizards & Partnerships
· Metro Detroit Elite Category: Recruitment, Selection & Orientation for 101 Best & Brightest
· 101 Best & Brightest Companies to Work for in Michigan
