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Machine Learning Engineering Engineer 2
Job Location:
Job Location:
Dearborn, MI - USA
Monthly Salary:
Not provided by the employer
Monthly Salary:
Posted:
2 October 2026 (15 hours ago)
Posted:
Application Deadline:
30 December 2026
Application Deadline:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
Job Title: (Machine Learning Engineering Engineer 2)
About Kyyba:
Founded in 1998 and headquartered in Farmington Hills MI Kyyba has a global presence delivering high-quality resources and top-notch recruiting services enabling businesses to effectively respond to organizational changes and technological advances.
At Kyyba the overall well-being of our employees and their families is important to us. We are proud of our work culture which embodies our core values; incorporating value passion excellence empowerment and happiness creates a vibrant and productive atmosphere. We empower our employees with the resources incentives and flexibility that they need to support a healthy balanced and fulfilling career by providing many valuable benefits and a balanced compensation structure combined with career development.
Job Description
Employees in this job function are responsible for designing building deploying and scaling complex self-running ML solutions in areas like computer vision perception localization etc. They also automate and optimize the end-to-end ML model lifecycle using their expertise in experimental methodologies statistics and coding for tool building and analysis. Key Responsibilities: 1) Collaborate with business and technology stakeholders to understand current and future ML requirements 2) Design and develop innovative ML models and software algorithms to solve complex business problems in both structured and unstructured environments 3) Design build maintain and optimize scalable ML pipelines architecture and infrastructure 4) Use machine language and statistical modeling techniques such as decision trees logistic regression Bayesian analysis and others to develop and evaluate algorithms to improve product/system performance quality data management and accuracy 5) Adapt machine learning to areas such as virtual reality augmented reality object detection tracking classification terrain mapping and others. 6) Train and re-train ML models and systems as required 7) Deploy ML models and algorithms into production and run simulations for algorithm development and test various scenarios 8) Automate model deployment training and re-training leveraging principles of agile methodology CI/CD/CT (Continuous Integration/ Continuous Deployment/ Continuous Training) and MLOps 9) Enable model management for model versioning and traceability to ensure modularity and symmetry across environments and models for ML systems
Skills Required:
GCP Big Query Python Java Cloud Infrastructure Artificial Intelligence & Expert Systems
Skills Preferred:
Graph Layer Design develop test and deploy the ISDP knowledge graph from the domain event store to Production using cloud-native data pipelines. Model and evolve the graphs entities and relationships as new data sources are onboarded. MCP serving layer Design build and operate the MCP server that exposes the ISDP graph layer and event store as tools to consumers including GQL graph query event-store query and schema/DDL discovery. Define tool contracts context and guardrails so agents produce grounded accurate non-hallucinated responses over the graph. Ensure low-latency secure and cost-efficient serving for interactive and batch agent workloads. Reliability monitoring & observability Own monitoring and observability of the graph layer and the MCP server data freshness pipeline health query latency/cost tool-call success rates and answer quality. Instrument SLOs dashboards alerting and tracing; drive incident response and continuous reliability improvements. Collaboration & data onboarding Partner with Data Engineers and Application Data Source Owners across Product Development Manufacturing Quality and Supply Chain to ingest and validate their data into ISDP. Establish data contracts schema validation and quality checks; support source owners through onboarding mapping to the ISDP logical model and troubleshooting. Contribute to data governance cataloging and lineage for the graph and its sources.
Experience Required:
Engineer 2 Exp.: Practitioner: 1 coding language or framework. 7 years in IT; 3 years in development 2 Years in AI and Graph Engineering Strong software engineering in Java Python with production-grade testing CI/CD and code quality practices. Hands-on experience deploying data/AI systems to Production on a GCP-native stack: Vertex AI BigQuery Dataflow / Apache Beam Pub/Sub Cloud Run / GKE Cloud Storage and Cloud Build / Artifact Registry. Experience with graph data modeling and querying property graphs and GQL / graph query patterns (BigQuery property graphs or equivalent such as Neo4j/Spanner Graph). Hands-on experience with Vertex AI (Agents model serving embeddings) and evaluation of agent answer quality. Experience building LLM/agent systems: tool-use RAG/grounding and integrating models via APIs (e.g. Vertex AI or enterprise LLM gateways). Familiarity with MCP or comparable agent tool protocols. Observability expertise: Cloud Monitoring/Logging OpenTelemetry SLOs dashboards and alerting for data pipelines and services. Infrastructure as Code (Terraform) and secure-by-default engineering (IAM least privilege secrets management). Ability to work directly with data producers to model and validate real-world industrial/enterprise data.
Experience Preferred:
Familiarity with Dataplex / Data Catalog for governance lineage and business glossaries. Streaming/CDC and event-driven architectures; append-only/event-sourced data modeling. Design and build user-facing applications and dashboards that surface Knowledge Graph data to end users. Domain exposure to PLM / product development manufacturing execution quality or supply-chain systems and their data. Data quality frameworks schema evolution and blue-green/zero-downtime data deployments.
Education Required:
Bachelors Degree
Additional Information:
4 days on site
Location: (DearbornMI)
Disclaimer:
Kyyba is an Equal Opportunity Employer.
Kyyba does not discriminate on the basis of race religion color sex gender identity sexual orientation age non-disqualifying physical or mental disability national origin veteran status or any other basis covered by appropriate law. Minorities / Females / Protected Veterans / Individuals with Disabilities are encouraged to apply. All employment is decided on the basis of qualifications merit and business need.
It is the policy of Kyyba to provide reasonable accommodation when requested by a qualified applicant or employee with a disability unless such accommodation would cause an undue hardship. The policy regarding requests for reasonable accommodation applies to all aspects of employment including the application process. If reasonable accommodation is needed please contact Kyyba at
Rewards:
Medical dental vision
401k
Term life
Voluntary life and disability insurance
Optional Pre-paid legal plan
Optional Identity theft plan
Optional Medical and dependent FSA
Work-visa sponsorship
Opportunity for advancement
Long-term assignment with opportunity for hire by client
SELECT AWARDS
About Kyyba:
Founded in 1998 and headquartered in Farmington Hills MI Kyyba has a global presence delivering high-quality resources and top-notch recruiting services enabling businesses to effectively respond to organizational changes and technological advances.
At Kyyba the overall well-being of our employees and their families is important to us. We are proud of our work culture which embodies our core values; incorporating value passion excellence empowerment and happiness creates a vibrant and productive atmosphere. We empower our employees with the resources incentives and flexibility that they need to support a healthy balanced and fulfilling career by providing many valuable benefits and a balanced compensation structure combined with career development.
Job Description
Employees in this job function are responsible for designing building deploying and scaling complex self-running ML solutions in areas like computer vision perception localization etc. They also automate and optimize the end-to-end ML model lifecycle using their expertise in experimental methodologies statistics and coding for tool building and analysis. Key Responsibilities: 1) Collaborate with business and technology stakeholders to understand current and future ML requirements 2) Design and develop innovative ML models and software algorithms to solve complex business problems in both structured and unstructured environments 3) Design build maintain and optimize scalable ML pipelines architecture and infrastructure 4) Use machine language and statistical modeling techniques such as decision trees logistic regression Bayesian analysis and others to develop and evaluate algorithms to improve product/system performance quality data management and accuracy 5) Adapt machine learning to areas such as virtual reality augmented reality object detection tracking classification terrain mapping and others. 6) Train and re-train ML models and systems as required 7) Deploy ML models and algorithms into production and run simulations for algorithm development and test various scenarios 8) Automate model deployment training and re-training leveraging principles of agile methodology CI/CD/CT (Continuous Integration/ Continuous Deployment/ Continuous Training) and MLOps 9) Enable model management for model versioning and traceability to ensure modularity and symmetry across environments and models for ML systems
Skills Required:
GCP Big Query Python Java Cloud Infrastructure Artificial Intelligence & Expert Systems
Skills Preferred:
Graph Layer Design develop test and deploy the ISDP knowledge graph from the domain event store to Production using cloud-native data pipelines. Model and evolve the graphs entities and relationships as new data sources are onboarded. MCP serving layer Design build and operate the MCP server that exposes the ISDP graph layer and event store as tools to consumers including GQL graph query event-store query and schema/DDL discovery. Define tool contracts context and guardrails so agents produce grounded accurate non-hallucinated responses over the graph. Ensure low-latency secure and cost-efficient serving for interactive and batch agent workloads. Reliability monitoring & observability Own monitoring and observability of the graph layer and the MCP server data freshness pipeline health query latency/cost tool-call success rates and answer quality. Instrument SLOs dashboards alerting and tracing; drive incident response and continuous reliability improvements. Collaboration & data onboarding Partner with Data Engineers and Application Data Source Owners across Product Development Manufacturing Quality and Supply Chain to ingest and validate their data into ISDP. Establish data contracts schema validation and quality checks; support source owners through onboarding mapping to the ISDP logical model and troubleshooting. Contribute to data governance cataloging and lineage for the graph and its sources.
Experience Required:
Engineer 2 Exp.: Practitioner: 1 coding language or framework. 7 years in IT; 3 years in development 2 Years in AI and Graph Engineering Strong software engineering in Java Python with production-grade testing CI/CD and code quality practices. Hands-on experience deploying data/AI systems to Production on a GCP-native stack: Vertex AI BigQuery Dataflow / Apache Beam Pub/Sub Cloud Run / GKE Cloud Storage and Cloud Build / Artifact Registry. Experience with graph data modeling and querying property graphs and GQL / graph query patterns (BigQuery property graphs or equivalent such as Neo4j/Spanner Graph). Hands-on experience with Vertex AI (Agents model serving embeddings) and evaluation of agent answer quality. Experience building LLM/agent systems: tool-use RAG/grounding and integrating models via APIs (e.g. Vertex AI or enterprise LLM gateways). Familiarity with MCP or comparable agent tool protocols. Observability expertise: Cloud Monitoring/Logging OpenTelemetry SLOs dashboards and alerting for data pipelines and services. Infrastructure as Code (Terraform) and secure-by-default engineering (IAM least privilege secrets management). Ability to work directly with data producers to model and validate real-world industrial/enterprise data.
Experience Preferred:
Familiarity with Dataplex / Data Catalog for governance lineage and business glossaries. Streaming/CDC and event-driven architectures; append-only/event-sourced data modeling. Design and build user-facing applications and dashboards that surface Knowledge Graph data to end users. Domain exposure to PLM / product development manufacturing execution quality or supply-chain systems and their data. Data quality frameworks schema evolution and blue-green/zero-downtime data deployments.
Education Required:
Bachelors Degree
Additional Information:
4 days on site
Location: (DearbornMI)
Disclaimer:
Kyyba is an Equal Opportunity Employer.
Kyyba does not discriminate on the basis of race religion color sex gender identity sexual orientation age non-disqualifying physical or mental disability national origin veteran status or any other basis covered by appropriate law. Minorities / Females / Protected Veterans / Individuals with Disabilities are encouraged to apply. All employment is decided on the basis of qualifications merit and business need.
It is the policy of Kyyba to provide reasonable accommodation when requested by a qualified applicant or employee with a disability unless such accommodation would cause an undue hardship. The policy regarding requests for reasonable accommodation applies to all aspects of employment including the application process. If reasonable accommodation is needed please contact Kyyba at
Rewards:
Medical dental vision
401k
Term life
Voluntary life and disability insurance
Optional Pre-paid legal plan
Optional Identity theft plan
Optional Medical and dependent FSA
Work-visa sponsorship
Opportunity for advancement
Long-term assignment with opportunity for hire by client
SELECT AWARDS
- An INC 5000 company for 10 years
- Corp! Michigan Economic Bright Spots
- Crains Detroit Business Top Staffing Service Companies in Detroit
- TechServe Alliance Excellence Award- IT and Engineering Staffing & Solutions
- Best of MichBusiness winner in HR Wizards & Partnerships
- Metro Detroit Elite Category: Recruitment Selection & Orientation for 101 Best & Brightest
- 101 Best & Brightest Companies to Work for in Michigan
Required Experience:
IC
