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Machine Learning Senior Engineer
Job Location:
Job Location:
Dearborn, MI - USA
Monthly Salary:
Not provided by the employer
Monthly Salary:
Posted:
8 September 2026 (17 hours ago)
Posted:
Application Deadline:
6 December 2026
Application Deadline:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
V2Soft is a global leader in IT services and business solutions delivering innovative and cost-effective technology solutions worldwide since 1998. We have We have headquartered in Bloomfield Hills MI and have 16 offices spread across six countries. We partner with Fortune 500 companies to address complex business challenges. Our services span AI IT staffing cloud computing engineering mobility testing and more. Certified with CMMI Level 3 and ISO standards V2Soft is committed to quality and security. Beyond our work we actively support local communities and non-profits reflecting our core values. Join us to be part of a dynamic and impactful global company!
Please visit us at to know more.
Only W2 No C2C - 4 Days Onsite at Dearborn MI.
Skills Required:
Technical Communication Communications Google Cloud Platform TensorFlow Data Governance Machine Learning Python Artificial Intelligence & Expert Systems GitHub Tekton Docker Jira Microservices Data Architecture Agile Software Development SQL Java Spark Cloud Architecture Apache Kafka REST APIs 1. Technical Communication This person will need to describe clearly the ML/AI Ops needs and strategy to colleagues potentially up to executives across a wide cross section of people from very knowledge to not technically knowledgeable in this area. 2. Communications In addition to the technical communication needed this person will need to be a great communicator to work with people in other organizations who are stakeholders and we need to work together and not have there be communication gaps 3. Google Cloud Platform Deep knowledge of how to implement ML / AI Ops in the GCP Platform specifically is required 4. TensorFlow 5. Data Governance This role will need to implement an enterprise data governance model and actively promote the concept of data - protection sharing reuse quality and standards. 6. Machine Learning We need an ML Ops expert 7. Python Some of the ML Ops pipeline will likely need to be setup using this code 8. Artificial Intelligence & Expert Systems The ML Ops pipeline needs to be set up for AI Agentic Solutions in mind as well. 9. GitHub This is where our code will reside so this is needed SEE 10 TO 21 IN ADDITION INFORMATION
Skills Preferred:
Telematics Machine Learning Data Modeling Cloud Infrastructure Data Mining Database Design Troubleshooting (Problem Solving) Labor Supervision 1. Telematics Knowledge of this is nice as some of our data will be Telematics data 2. Machine Learning 3. Data Modeling In order to understand how the data will interact with the ML Operations. 4. Cloud Infrastructure 5. Data Mining 6. Database Design 7. Troubleshooting (Problem Solving) 8. Labor Supervision Will need to mentor and advise junior team members to spread ML Ops expertise across the organization
Experience Required:
Masters degree or foreign equivalent degree in Computer Science Software Engineering Information Systems Data Engineering or a related field and 4 years of experience OR equivalent combination of education and experience (6 years with Bachelors Degree). 4 years of professional experience in: o Data engineering data product development and software product launches o At least three of the following languages: Java Python Spark Scala SQL 3 years of cloud data/software engineering experience building scalable reliable and cost-effective production batch and streaming data pipelines using: o Data warehouses like Amazon Redshift Microsoft Azure Synapse Analytics Google BigQuery. o Workflow orchestration tools like Airflow. o Relational Database Management System like MySQL PostgreSQL and SQL Server. o Real-Time data streaming platform like Apache Kafka GCP Pub/Sub o Microservices architecture to deliver large-scale real-time data processing application. o REST APIs for compute storage operations and security. o DevOps tools such as Tekton GitHub Actions Git GitHub Terraform Docker. o Project management tools like Atlassian JIRA. Even better if you have...
Experience Preferred:
Ph.D. or foreign equivalent degree in Computer Science Software Engineering Information System Data Engineering or a related field. 2 years of experience with ML Model Development and/or MLOps. Committed code to improve open-source data/software engineering projects Experience architecting cloud infrastructure and handling application migrations/upgrades. GCP Professional Certifications. Demonstrated passion to mine raw data and realize its hidden value. Passion to experiment/implement state of the art data engineering methods/techniques. Experience working in an implementation team from concept to operations providing deep technical subject matter expertise for successful deployment. Experience implementing methods for automation of all parts of the pipeline to minimize labor in development and production. Analytics skills to profile data troubleshoot data pipeline/product issues. Ability to simplify clearly communicate complex data/software ideas/problems and work with cross-functional teams and all levels of management independently. Ability to mentor and advise junior team members
Education Required:
Bachelors Degree
Education Preferred:
Masters Degree
Additional Information :
***HYBRID / 4 days per week in the office*** 10. Tekton Will likely be needed to work in our DevOps 11. Docker Our vendor will be using Docker images so we will need to know how to account for this. 12. Jira Our projects are managed in Jira so knowledge of Jira would be nice. 13. Microservices Microservices architecture to deliver large-scale real-time data processing application. 14. Data Architecture Optimize existing ML solutions for performance security and cost-effectiveness 15. Agile Software Development Need to be able to work in an Agile environment related to Jira and Communication skills 16. SQL There will be SQL in the pipeline so knowledge is important 17. Java May be in the pipeline 18. Spark May be in the pipeline 19. Cloud Architecture Knowledge to Build scalable and robust ML data pipelines in the cloud to process large volumes of connected vehicle data to support Client agentic initiatives. 20. Apache Kafka Knowledge of this for real time data streaming in the pipeline is important 21. REST APIs REST APIs for compute storage operations and security.
V2Soft is an Equal Opportunity Employer ( EOE). We welcome applicants from all backgrounds including individuals with disabilities and veterans.
- to view all of our open opportunities and to learn more about our benefits.
Please visit us at to know more.
Only W2 No C2C - 4 Days Onsite at Dearborn MI.
Skills Required:
Technical Communication Communications Google Cloud Platform TensorFlow Data Governance Machine Learning Python Artificial Intelligence & Expert Systems GitHub Tekton Docker Jira Microservices Data Architecture Agile Software Development SQL Java Spark Cloud Architecture Apache Kafka REST APIs 1. Technical Communication This person will need to describe clearly the ML/AI Ops needs and strategy to colleagues potentially up to executives across a wide cross section of people from very knowledge to not technically knowledgeable in this area. 2. Communications In addition to the technical communication needed this person will need to be a great communicator to work with people in other organizations who are stakeholders and we need to work together and not have there be communication gaps 3. Google Cloud Platform Deep knowledge of how to implement ML / AI Ops in the GCP Platform specifically is required 4. TensorFlow 5. Data Governance This role will need to implement an enterprise data governance model and actively promote the concept of data - protection sharing reuse quality and standards. 6. Machine Learning We need an ML Ops expert 7. Python Some of the ML Ops pipeline will likely need to be setup using this code 8. Artificial Intelligence & Expert Systems The ML Ops pipeline needs to be set up for AI Agentic Solutions in mind as well. 9. GitHub This is where our code will reside so this is needed SEE 10 TO 21 IN ADDITION INFORMATION
Skills Preferred:
Telematics Machine Learning Data Modeling Cloud Infrastructure Data Mining Database Design Troubleshooting (Problem Solving) Labor Supervision 1. Telematics Knowledge of this is nice as some of our data will be Telematics data 2. Machine Learning 3. Data Modeling In order to understand how the data will interact with the ML Operations. 4. Cloud Infrastructure 5. Data Mining 6. Database Design 7. Troubleshooting (Problem Solving) 8. Labor Supervision Will need to mentor and advise junior team members to spread ML Ops expertise across the organization
Experience Required:
Masters degree or foreign equivalent degree in Computer Science Software Engineering Information Systems Data Engineering or a related field and 4 years of experience OR equivalent combination of education and experience (6 years with Bachelors Degree). 4 years of professional experience in: o Data engineering data product development and software product launches o At least three of the following languages: Java Python Spark Scala SQL 3 years of cloud data/software engineering experience building scalable reliable and cost-effective production batch and streaming data pipelines using: o Data warehouses like Amazon Redshift Microsoft Azure Synapse Analytics Google BigQuery. o Workflow orchestration tools like Airflow. o Relational Database Management System like MySQL PostgreSQL and SQL Server. o Real-Time data streaming platform like Apache Kafka GCP Pub/Sub o Microservices architecture to deliver large-scale real-time data processing application. o REST APIs for compute storage operations and security. o DevOps tools such as Tekton GitHub Actions Git GitHub Terraform Docker. o Project management tools like Atlassian JIRA. Even better if you have...
Experience Preferred:
Ph.D. or foreign equivalent degree in Computer Science Software Engineering Information System Data Engineering or a related field. 2 years of experience with ML Model Development and/or MLOps. Committed code to improve open-source data/software engineering projects Experience architecting cloud infrastructure and handling application migrations/upgrades. GCP Professional Certifications. Demonstrated passion to mine raw data and realize its hidden value. Passion to experiment/implement state of the art data engineering methods/techniques. Experience working in an implementation team from concept to operations providing deep technical subject matter expertise for successful deployment. Experience implementing methods for automation of all parts of the pipeline to minimize labor in development and production. Analytics skills to profile data troubleshoot data pipeline/product issues. Ability to simplify clearly communicate complex data/software ideas/problems and work with cross-functional teams and all levels of management independently. Ability to mentor and advise junior team members
Education Required:
Bachelors Degree
Education Preferred:
Masters Degree
Additional Information :
***HYBRID / 4 days per week in the office*** 10. Tekton Will likely be needed to work in our DevOps 11. Docker Our vendor will be using Docker images so we will need to know how to account for this. 12. Jira Our projects are managed in Jira so knowledge of Jira would be nice. 13. Microservices Microservices architecture to deliver large-scale real-time data processing application. 14. Data Architecture Optimize existing ML solutions for performance security and cost-effectiveness 15. Agile Software Development Need to be able to work in an Agile environment related to Jira and Communication skills 16. SQL There will be SQL in the pipeline so knowledge is important 17. Java May be in the pipeline 18. Spark May be in the pipeline 19. Cloud Architecture Knowledge to Build scalable and robust ML data pipelines in the cloud to process large volumes of connected vehicle data to support Client agentic initiatives. 20. Apache Kafka Knowledge of this for real time data streaming in the pipeline is important 21. REST APIs REST APIs for compute storage operations and security.
V2Soft is an Equal Opportunity Employer ( EOE). We welcome applicants from all backgrounds including individuals with disabilities and veterans.
- to view all of our open opportunities and to learn more about our benefits.
Required Experience:
Senior IC
