Dechen Consulting
Machine Learning Engineer
Dechen Consulting - Dearborn, Michigan, United States, 48120
Work at Dechen Consulting
Overview
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Overview
About Dechen Consulting Group (DCG)
Dechen Consulting Group (DCG) is a rapidly expanding, innovative IT Professional Services and Management Consulting company with a track record of more than twenty-five years in delivering skilled professionals to our clients across diverse sectors.
Job Opportunity
We are currently seeking a professional for a W2 contract opportunity in Dearborn, MI. This role has the potential to extend over multiple years, with the chance to transition to a direct hire position with our client. We provide healthcare, vacation, relocation assistance, and visa sponsorship/transfer. This is a W2 position, not C2C. THIRD PARTIES NEED NOT APPLY. This role offers excellent prospects for career progression!
Position Description
We are seeking an experienced professional 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. Skills Required
GCP, Python, Machine Learning, API, GitHub, Tekton, Docker, Kubernetes, SonarQube, Jira 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. 2 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. 2 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. Experience Preferred
5 years of experience in the automotive industry, particularly in auto remarketing and sales. 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. Education Required
Bachelor's Degree Education Preferred
Master's Degree Additional Information
Full interview to include skills assessment Onsite Position
We Are a People-Focused Company with a deep emphasis on family values and look forward to working with you.
Dechen Consulting Group (DCG) is a rapidly expanding, innovative IT Professional Services and Management Consulting company with a track record of more than twenty-five years in delivering skilled professionals to our clients across diverse sectors.
Job Opportunity
We are currently seeking a professional for a W2 contract opportunity in Dearborn, MI. This role has the potential to extend over multiple years, with the chance to transition to a direct hire position with our client. We provide healthcare, vacation, relocation assistance, and visa sponsorship/transfer. This is a W2 position, not C2C. THIRD PARTIES NEED NOT APPLY. This role offers excellent prospects for career progression!
Position Description
We are seeking an experienced professional 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. Skills Required
GCP, Python, Machine Learning, API, GitHub, Tekton, Docker, Kubernetes, SonarQube, Jira 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. 2 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. 2 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. Experience Preferred
5 years of experience in the automotive industry, particularly in auto remarketing and sales. 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. Education Required
Bachelor's Degree Education Preferred
Master's Degree Additional Information
Full interview to include skills assessment Onsite Position
We Are a People-Focused Company with a deep emphasis on family values and look forward to working with you.