Senior ML Engineer — Production AI & Data Pipelines

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

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.