Machine Learning Engineer
Machine Learning Engineer
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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 /
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 crossfunctional 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 nontechnical 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 handson 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 ContainerasaService (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 problemsolving and analytical skills with a focus on datadriven 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 highimpact results even with limited information.
- Exceptional problemsolving 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 Scikitlearn
- Experience with MLOps tools and platforms.
Education Required
- Bachelors degree in Computer Science Information Systems or a related field
Education Preferred
- Masters 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***
Stefanini takes pride in hiring top talent and developing relationships with our future employees. Our talent acquisition teams will never make an offer of employment without having a phone conversation with you. Those facetoface conversations will involve a description of the job for which you have applied. We also speak with you about the process including interviews and job offers.
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.
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Employment Type
Contract
