What are the responsibilities and job description for the Machine Learning Engineer position at Stefanini North America and APAC?
Details:
Job Description
Stefanini Group is hiring!
Stefanini is looking for a Machine Learning Engineer, Dearborn, MI (Hybrid)
For quick apply, please reach out Pawan Singh at 248 213 3605/ pawansingh.rawat@stefanini.com
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
Details:
Experience Required
About Stefanini Group
The Stefanini Group is a global provider of offshore, onshore and near shore outsourcing, IT digital consulting, systems integration, application, and strategic staffing services to Fortune 1000 enterprises around the world. Our presence is in countries like the Americas, Europe, Africa, and Asia, and more than four hundred clients across a broad spectrum of markets, including financial services, manufacturing, telecommunications, chemical services, technology, public sector, and utilities. Stefanini is a CMM level 5, IT consulting company with a global presence. We are a CMM Level 5 company.
Job Description
Stefanini Group is hiring!
Stefanini is looking for a Machine Learning Engineer, Dearborn, MI (Hybrid)
For quick apply, please reach out Pawan Singh at 248 213 3605/ pawansingh.rawat@stefanini.com
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.
Details:
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.
- 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.
- Bachelor's degree in Computer Science, Information Systems, or a related field
- Master's degree in a relevant field (e.g., Computer Science, Data Science, Engineering).
- Listed salary ranges may vary based on experience, qualifications, and local market. Also, some positions may include bonuses or other incentives***
About Stefanini Group
The Stefanini Group is a global provider of offshore, onshore and near shore outsourcing, IT digital consulting, systems integration, application, and strategic staffing services to Fortune 1000 enterprises around the world. Our presence is in countries like the Americas, Europe, Africa, and Asia, and more than four hundred clients across a broad spectrum of markets, including financial services, manufacturing, telecommunications, chemical services, technology, public sector, and utilities. Stefanini is a CMM level 5, IT consulting company with a global presence. We are a CMM Level 5 company.
