ML Engineer

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.

$58/hr to $61/hr

Exact compensation may vary based on several factors, including skills, experience, and education.

Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401K retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.

We are a company committed to creating inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity employer that believes everyone matters. Qualified candidates will receive consideration for employment opportunities without regard to race, religion, sex, age, marital status, national origin, sexual orientation, citizenship status, disability, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to . The EEOC "Know Your Rights" Poster is available here .

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Skills and Requirements

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. null

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal employment opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment without regard to race, color, ethnicity, religion,sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military oruniformed service member status, or any other status or characteristic protected by applicable laws, regulations, andordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to .