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Deployed Contractor Jobs in Michigan (NOW HIRING)

Database Administrator, Sr

Detroit, MI · On-site

$49.25 - $67.75/hr

... and Army Contracting Command - Detroit Arsenal (ACC-DTA). · Responsibilities to include ... Required: · Senior database administration experience deploying and managing databases supporting ...

Oversee contractor safety processes, including prequalification support, onboarding, orientation ... Partner with Corporate Health and Safety department to deploy company standards, support ...

Founded in 1991, Merlo Construction is a leading specialty contractor in the construction industry ... A strong grasp of how people and equipment can be deployed and redeployed is essential to keeping ...

As a Top-10 ENR Contractor, Gilbane is a family-owned business with 45 offices that has been ... You deploy a strategic mindset when considering solutions to long-term opportunities and risks that ...

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Deployed Contractor information

See Michigan salary details

$9

$37

$83

How much do deployed contractor jobs pay per hour?

As of Jul 1, 2026, the average hourly pay for deployed contractor in Michigan is $37.19, according to ZipRecruiter salary data. Most workers in this role earn between $20.05 and $50.45 per hour, depending on experience, location, and employer.

What is a Deployed Contractor job?

A Deployed Contractor is a professional hired to work on-site in a specific location, often internationally or in remote areas, to support a company's operations or government contracts. These roles typically require specialized skills in areas such as security, logistics, IT, or engineering. Deployed Contractors may work under fixed-term contracts and often operate in challenging or high-risk environments. Responsibilities vary by industry but can include maintenance, consulting, training, or operational support.

What are the key skills and qualifications needed to thrive in the Deployed Contractor position, and why are they important?

To thrive as a Deployed Contractor, you need strong technical expertise in your field, relevant industry certifications, and experience working in dynamic environments such as military, government, or construction projects. Familiarity with specialized software, communication tools, safety protocols, and security clearances (as applicable) is often required. Adaptability, cultural sensitivity, and effective problem-solving are key soft skills for excelling under changing conditions and in diverse team settings. These skills and qualities are critical for maintaining operational effectiveness, safety, and collaboration while working on-site, often in remote or challenging locations.

What is the work environment like for a Deployed Contractor, and how often will I collaborate with different teams?

As a Deployed Contractor, you can expect to work in varied and sometimes demanding environments, often on-site at client, military, or remote project locations. You will frequently collaborate with multidisciplinary teams, including on-site personnel, project managers, and stakeholders from different organizations. Communication and adaptability are essential, as you may need to adjust quickly to new procedures or cultural expectations based on your deployment location. Teamwork is crucial in this role, and you will regularly coordinate with others to meet project goals and ensure smooth operations.

What are popular job titles related to Deployed Contractor jobs in Michigan? For Deployed Contractor jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Deployed Contractor jobs in Michigan look for? The top searched job categories for Deployed Contractor jobs in Michigan are:
Infographic showing various Deployed Contractor job openings in Michigan as of June 2026, with employment types broken down into 56% Full Time, 21% Part Time, and 23% Contract. Highlights an 94% In-person, and 6% Remote job distribution, with an average salary of $77,360 per year, or $37.2 per hour.
AI Data Scientist

AI Data Scientist

Strategic Staffing Solutions

Detroit, MI • On-site, Remote

Other

Posted 27 days ago


Job description

Job Description STRATEGIC STAFFING SOLUTIONS (S3) HAS AN OPENING. AI Data Scientist Remote in EST/CST W2 contract role 6 Months then eligible for Contract renewal Role Overview The Advanced Analytics Hub team is looking to bring on board an Expert AI Data Scientist for an AI project as a Contractor. The objective of this project is to build an intelligent, agentic AI solution that provides material recommendations from SRM Material Catalogs at the point of purchase requisition, leveraging RAG and LLM-based capabilities.

Key Requirements: End-to-End Agentic RAG System Design - Proven experience designing and deploying production-grade RAG systems, including embeddings, vector search, and agent orchestration for multi-step reasoning workflows. LLM & GenAI Integration at Scale (with Agent Frameworks) - Hands-on expertise integrating LLMs into enterprise applications, including prompt engineering, tool usage, and experience with frameworks such as LangGraph/LangChain, Semantic Kernel, or AutoGen. Retrieval Quality, Evaluation & Optimization - Strong background in evaluation frameworks (precision/recall, grounding accuracy, hallucination detection) and optimization techniques (chunking, re-ranking, hybrid search).

MLOps & Productionalization - Experience deploying AI solutions at scale with CI/CD pipelines, model lifecycle management, monitoring, and cloud environments (Azure preferred). Strong ML & Statistical Foundation - Deep expertise in Python, ML/statistics, and experimentation with a focus on rigorous validation of model performance and business impact. Systems Thinking & Enterprise Integration - Ability to architect and integrate AI solutions within enterprise ecosystems (preferably SAP/SRM or similar procurement workflows).

Vector Databases & Retrieval Infrastructure - Hands-on experience with vector databases (e.g., Azure AI Search, Pinecone, FAISS) and optimization for real-time use cases. Core Engineering Best Practices - Strong proficiency in Python, Git, API development, and modern software engineering practices including CI/CD for ML systems. Experience running local models - we run local models on high compute servers on prem (500 GB RAM, 4 L40s GPUs, 64 cpu running on RHEL 9.7) before deploying the solution on cloud platform to save us the cloud cost during development *Beware of scams

S3 never asks for money during its onboarding process