Machine Learning Engineer

Stefanini, Inc; Dearborn, Northern (MI, KY); Hybrid; USD 174,955,000 - 188,731,000; Full time

Job summary

Stefanini, Inc in Dearborn, Michigan seeks a Machine Learning Engineer for a long-term contract to build intelligent data products that enable search, analytics, and decision support. The candidate will span architecture to production ownership, including RAG systems and scalable pipelines.

The role requires practical ML experience, strong Python/SQL, and cloud expertise. You will work across AI/ML, data platforms, and CI/CD practices in a production environment.

Qualifications

• 5+ years of experience building and operating production software, data, or machine learning systems with strong Python and SQL skills.
• Professional experience with cloud platforms, managed data services, object storage, containers, and distributed workloads.
• Experience designing and operating scalable data pipelines or distributed processing systems for large and evolving datasets.
• Hands-on experience applying large language models to real products, including prompt design, structured outputs, tool use, evaluation, and production monitoring.
• Strong understanding of embeddings, vector retrieval, RAG architecture, model limitations, and techniques for improving answer quality and faithfulness.
• Experience with software engineering fundamentals, including testing, code review, version control, CI/CD, observability, and secure development practices.
• Ability to diagnose difficult production problems using measurable evidence, experimentation, profiling, and root-cause analysis.
• Experience with workflow orchestration, job scheduling, or reliable batch execution frameworks.

Responsibilities

• Architect, build, and operate reliable data products at enterprise scale.
• Create resilient orchestration for batch and near-real-time workloads with observability and runbooks.
• Develop production Retrieval-Augmented Generation (RAG) systems with citations.
• Design agentic AI workflows to decompose questions, select data sources, validate results, and return explainable answers.
• Develop embedding, document-understanding, and multimodal inference workflows balancing quality, latency, and cost.
• Lead cloud architecture, IaC, and CI/CD for secure deployment across environments.
• Own system reliability from design through production and improve capacity planning.
• Deliver analytics experiences and decision-support tools for engineers, teams, and leadership.
• Establish data quality, lineage, validation, and governance for trust and traceability.
• Build restartable processing with checkpointing and recovery strategies.

Skills

Python

SQL

Artificial Intelligence & Expert Tools

API development

Software testing

Data analysis

Education

Bachelor's degree

Certification program

Tools

Google Cloud Platform (GCP)

Job description

Job Details

Information Technology

Machine Learning Engineer Dearborn,MI Posted:9/11/2026 Job Description Job ID#:64875 Job Category:Information Technology Position Type:Contract Duration:Long Term Remaining Positions:1

Stefanini Group is hiring!

Stefanini is looking for Machine Learning Engineer,Dearborn, MI

We are seeking a high-impact AI/ML Engineer to build intelligent data products that turn complex, high-volume engineering information into trusted, actionable insight. You will work across applied machine learning, generative AI, data platforms, and cloud engineering to deliver production systems used for search, traceability, analytics, and decision support. This role is ideal for an engineer who can move from architecture to implementation to operational ownership, and who enjoys solving ambiguous problems where data quality, scale, and reliability matter.

Responsibilities

• Architect, build, and operate reliable data products that ingest and transform diverse structured and unstructured information at enterprise scale.
• Create resilient orchestration and delivery patterns for batch and near-real-time workloads, with clear observability, alerting, and operational runbooks.
• Develop production Retrieval-Augmented Generation (RAG) systems that combine semantic retrieval, structured data, and grounded responses for high-value engineering use cases.
• Design agentic AI workflows that decompose complex questions, select the right data sources and tools, validate results, and return explainable answers with citations.
• Develop and evaluate embedding, document-understanding, and multimodal inference workflows, balancing quality, latency, scalability, and cost.
• Lead cloud architecture, containerization, infrastructure-as-code, and CI/CD practices for secure, repeatable deployment across environments.
• Own system reliability from design through production: investigate incidents, profile performance, eliminate failure modes, and improve capacity planning.
• Deliver intuitive analytics experiences and decision-support tools that make complex technical data useful to engineers, program teams, and leadership.
• Establish data quality, lineage, validation, and governance practices so users can understand where information came from and how much to trust it.
• Build incremental, restartable processing with checkpointing and recovery strategies that protect data integrity during long-running or partially failed workloads.

Skills Required

• Python, SQL, Artificial Intelligence & Expert Systems, Google Cloud Platform (GCP), API development and integration, Software testing, Data analysis

Skills Preferred

• Data and analytics dashboards, Data collection, Data integrity, Java, Data acquisition, Data conversion

Experience Required

• 5+ years of experience building and operating production software, data, or machine learning systems, with strong Python and SQL skills.
• Professional experience with cloud platforms, managed data services, object storage, containers, and distributed workloads.
• Experience designing and operating scalable data pipelines or distributed processing systems for large and evolving datasets.
• Hands-on experience applying large language models to real products, including prompt design, structured outputs, tool use, evaluation, and production monitoring.
• Strong understanding of embeddings, vector retrieval, RAG architecture, model limitations, and techniques for improving answer quality and faithfulness.
• Experience with software engineering fundamentals, including testing, code review, version control, CI/CD, observability, and secure development practices.
• Demonstrated ability to diagnose difficult production problems using measurable evidence, experimentation, profiling, and disciplined root-cause analysis.
• Experience with workflow orchestration, job scheduling, or reliable batch execution frameworks.

Experience Preferred

• Experience with agentic AI frameworks, tool-using systems, or multi-step reasoning workflows.
• Experience with managed generative AI, model serving, batch inference, or vector database platforms.
• Experience with infrastructure-as-code and automated cloud delivery.
• Experience extracting meaning from complex documents, legacy formats, technical diagrams, or other semi-structured content at scale.
• Experience in automotive, manufacturing, safety-critical, systems engineering, or another technically regulated domain.
• Experience building internal analytics products or developer-facing tools that translate complex data into clear decisions.

Education Required

• Bachelor's degree

Education Preferred

• Certification program

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.

$ 61.00 - $ 66.00