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Scientist

Milan,MI

1078 Scientist jobs in Milan,MI

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DoorDash - Milan, MI

Delivery Driver - No Experience Needed
OnsiteFlexible Schedule
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Strategic Account Executive – Enterprise Industrial & Life Sciences Software

Opeirex

Milan, MI

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Senior Software Engineer — UI/UX & Front-End Engineering

Talent Software Services

Milan, MI

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Inside Sales Specialist – Rare Disease

Promoveo Health

Milan, MI

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LinkedIn
Back end Software Engineer (web scraping/data acquisition)

Sapient Search

Milan, MI

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Explosive Ordnance Disposal Technician

US Navy

Blissfield, MI 49228

New, Posted 1 day ago
ZipRecruiter
Power Sector Permitting Lead - Michigan

Environmental Consulting & Technology

Ann Arbor, MI 48105

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ZipRecruiter
Environmental Field Technician/ LIRA Certified (Lead Inspector/Risk Assessor) Technician

Environmental Testing and Consulting

Romulus, MI 48174

New, Posted 1 day ago
ZipRecruiter
Technical Project Management - VM EPS

Bosch Group

Plymouth, MI 48170

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LinkedIn
REMOTE: DevOps Engineer (Mid Level)

IntePros

Milan, MI

Remote

89% of jobs ask for a resume

Don't let the perfect job slip away—upload your resume and we'll personalize your results instantly.

89% of jobs ask for a resume

Don't let the perfect job slip away—upload your resume and we'll personalize your results instantly.

New, Posted 8 hours ago
Apply Directly
AI Engineer [213561]

Aquent Talent

Ann Arbor, MI 48113

~ 18 min Onsite

With the benefit of technical guidance from senior engineers and architects
Bachelor's degree in Computer Science, Software Engineering, Data Science, or a closely related technical field.
3–6 years of professional software development experience.
2+ years of hands-on experience building AI/ML or Generative AI applications.
Strong programming proficiency in one or more of the following languages: Python, Java, C#, or TypeScript/JavaScript.
Demonstrated experience developing REST APIs and distributed services.
Practical experience working with major cloud platforms such as Azure, AWS, or GCP.
A strong understanding of core software engineering fundamentals, including design patterns, testing methodologies, CI/CD pipelines, security best practices, and observability.
Experience with leading LLM platforms such as OpenAI, Anthropic Claude, Azure OpenAI, or Gemini.
Proficiency in building advanced AI agents, tool calling frameworks, and multi-agent workflows.
Experience with RAG architectures and working with vector databases.
Familiarity with prompt engineering techniques and evaluation frameworks.
Experience with containerization and orchestration technologies like Docker, Kubernetes, or Cloud Run.
Experience working within Agile development environments.
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