Senior ML Engineer - Production AI & Data Pipelines

Stefanini; Dearborn (MI); Sur place; USD 68 000 - 108 000; Plein temps

Résumé du poste

Stefanini Group is hiring a Machine Learning Engineer for a role based in Dearborn, Michigan. You will work across applied machine learning, generative AI, data platforms, and cloud engineering to create production systems for search, traceability, analytics, and decision support.

The position suits an engineer who can take solutions from architecture through implementation and ongoing operations, tackling ambiguous challenges involving data quality, scale, and reliability.

Qualifications

• At least 5 years of experience building and operating production software, data, or machine learning systems.
• 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, evolving datasets.
• Hands-on experience applying large language models in products, including prompt design, structured outputs, tool use, evaluation, and production monitoring.

Responsabilités

• Architect, build, and operate dependable data products that ingest and transform varied structured and unstructured information at enterprise scale.
• Create resilient orchestration and delivery patterns for batch and near-real-time workloads, supported by observability, alerts, and operational runbooks.
• Develop production RAG systems that combine semantic retrieval, structured data, and grounded responses for engineering use cases.
• Design agentic AI workflows that break down complex questions, choose data sources and tools, validate findings, and provide explainable answers with citations.
• Develop and evaluate embedding, document-understanding, and multimodal inference workflows, balancing quality, speed, scale, and cost.
• Lead cloud architecture, containerization, infrastructure-as-code, and CI/CD practices to enable secure, repeatable deployments.
• Take ownership of system reliability from design through production by investigating incidents, profiling performance, reducing failure modes, and improving capacity planning.
• Build intuitive analytics experiences and decision-support tools for engineers, program teams, and leadership.
• Establish data quality, lineage, validation, and governance practices that help users understand information sources and trustworthiness.
• Implement incremental, restartable processing with checkpointing and recovery strategies to protect data integrity during lengthy or partially failed workloads.

Connaissances

Python

SQL

Cloud platforms

Data pipelines

LLMs / AI

CI/CD

Observability

Formation

Bachelor's degree

Certification program

Outils

Google Cloud Platform

API development

Containerization

Vector databases

Description du poste

Stefanini Group is hiring a Machine Learning Engineer for a role based in Dearborn, Michigan. You will work across applied machine learning, generative AI, data platforms, and cloud engineering to create production systems for search, traceability, analytics, and decision support.

The position suits an engineer who can take solutions from architecture through implementation and ongoing operations, tackling ambiguous challenges involving data quality, scale, and reliability.