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Natural Language Processing Jobs in Detroit, MI (NOW HIRING)

Stefanini

Full Stack Developer

Dearborn, MI · On-site

Applied machine learning experience encompassing embeddings, classification, clustering, natural language processing, and evaluation metrics. Education Required:Bachelor's degree in Computer Science ...

Eccalon LLC

Machine Learning Engineer

Detroit, MI

Transformer Architectures for Natural Language Processing. * Generative Adversarial Architectures. Preferred qualifications * MS. or PhD in Machine Learning, or related field * Extensive AWS or GCP ...

Vectrus Corporate

Senior .NET Developer (Contract)

Troy, MI · On-site

$51 - $67.50/hr

... natural language processing, predictive analytics, or generative AI features). * Provide technical mentorship and guidance to internal development staff. Qualifications Experience: * Background in ...

New

V2X

Senior .NET Developer (Contract)

Troy, MI · On-site

$51.75 - $68.25/hr

... natural language processing, predictive analytics, or generative AI features). * Provide technical mentorship and guidance to internal development staff. Qualifications Experience: * Background in ...

THOMSON REUTERS

Senior Research Engineer

Ann Arbor, MI · Hybrid

$102K - $140K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Exposure to Natural Language Processing (NLP) problems and familiarity with key tasks such as Named Entity Recognition (NER), Information Extraction, Information Retrieval, Text classification ...

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All JobsNatural Language Processing JobsNatural Language Processing Jobs in Detroit, MI

Natural Language Processing information

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How much do natural language processing jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for natural language processing in Detroit, MI is $25.22, according to ZipRecruiter salary data. Most workers in this role earn between $17.36 and $29.28 per hour, depending on experience, location, and employer.

What is a natural language processing?

A Natural Language Processing (NLP) job involves developing and improving algorithms that enable computers to understand, interpret, and generate human language. Professionals in this field work on tasks like speech recognition, text analysis, machine translation, and chatbot development. They often use machine learning, deep learning, and linguistic principles to build and refine NLP models. NLP experts commonly work in industries such as healthcare, finance, and technology to enhance communication and automate language-related tasks.

What are the key skills and qualifications needed to thrive in natural language processing, and why are they important?

To thrive in Natural Language Processing, you need strong expertise in linguistics, statistics, and machine learning, typically supported by a degree in computer science, computational linguistics, or a related field. Familiarity with tools and frameworks such as Python, TensorFlow, PyTorch, spaCy, and NLP libraries, as well as certifications in data science or NLP, are valuable assets. Analytical thinking, problem-solving skills, and the ability to collaborate across multidisciplinary teams are highly desirable. These competencies are essential for developing powerful language models, extracting meaningful insights from data, and delivering effective real-world solutions in language technology.

What are some typical challenges faced by professionals in natural language processing?

Professionals in Natural Language Processing (NLP) often encounter challenges such as understanding ambiguities in human language, managing large and unstructured datasets, and keeping up with rapid advances in NLP methodologies. They may also need to fine-tune models for domain-specific contexts and ensure solutions meet ethical and privacy guidelines. Collaboration with data scientists, linguists, engineers, and product teams is common, requiring strong communication skills. Successfully tackling these challenges is a critical part of developing robust NLP applications that add meaningful value to users and businesses.

Is natural language processing a good career?

Natural Language Processing (NLP) is a growing field within artificial intelligence that involves developing algorithms to understand and generate human language. It offers strong job prospects, competitive salaries, and opportunities to work with machine learning, data analysis, and programming languages like Python. Success in NLP careers often requires a background in computer science, linguistics, or related fields, along with skills in data handling and model development.

What can I do with Natural Language Processing?

A Natural Language Processing (NLP) professional develops systems that enable computers to understand, interpret, and generate human language. This includes tasks like sentiment analysis, language translation, chatbots, and information extraction, often using tools like Python, NLP libraries, and machine learning models. NLP roles require strong programming skills and knowledge of linguistics or data science.

What are the most commonly searched types of Natural Language Processing jobs in Detroit, MI?

The most popular types of Natural Language Processing jobs in Detroit, MI are:

What are popular job titles related to Natural Language Processing jobs in Detroit, MI?

For Natural Language Processing jobs in Detroit, MI, the most frequently searched job titles are:

What job categories do people searching Natural Language Processing jobs in Detroit, MI look for?

The top searched job categories for Natural Language Processing jobs in Detroit, MI are:

What cities near Detroit, MI are hiring for Natural Language Processing jobs?

Cities near Detroit, MI with the most Natural Language Processing job openings:

Natural Language Processing jobs near you
Infographic showing various Natural Language Processing job openings in Detroit, MI as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 18% Part Time, 1% Temporary, 4% Contract, and 1% Nights. Highlights an 92% Physical, 1% Hybrid, and 7% Remote job distribution, with an average salary of $52,455 per year, or $25.2 per hour.

Full Stack Developer

Stefanini

Dearborn, MI • On-site

Other

Re-posted yesterday

Job description


Stefanini Group is hiring!
Stefanini is looking for a Full Stack Developer (Dearborn, MI)
For quick apply, please reach out to Navneet Pathak at +1 /
We are looking for candidates who will focus on building AI/agentic systems for an Enterprise Data Platform, with emphasis on multi-agent orchestration on Google Cloud Platform (Google Cloud Platform).
ResponsibilitiesArchitecture: Design multi-agent AI systems, evaluate trade-offs (single vs. multi-agent, RAG vs. fine-tuning), and contribute to Architecture Decision Records.Hands-on Coding: Daily production-grade code across agent frameworks, backend/frontend, and LLM-powered workflows (NL-to-SQL, semantic search, metadata enrichment), plus guardrails and observability for AI outputs. Familiarity with Agentic coding tools like opencode, Claude code, etc., is expected.Full-Stack Work: Backend (Python/FastAPI) and frontend (Angular/React) development, chat and API interfaces, and evaluation/benchmarking tools, with end-to-end feature ownership.Engineering Excellence: Maintain high code quality, lead by example in reviews, conduct root-cause analysis on agent failures, and act as the team's technical anchor for tough problems.Collaboration: Work with Product, Data Engineering, and Platform teams; mentor others, support sprint planning, and help onboard new hires. In short, the role combines deep technical architecture responsibility with daily hands-on coding, centered on building robust, scalable multi-agent AI systems and serving as the team's go-to technical expert.
Skills Required:Artificial Intelligence & Expert Systems
Skills Preferred:Google Cloud Platform
Experience Required:5+ years of professional software engineering experience with demonstrated hands-on coding proficiency.Demonstrable experience building AI-powered applications or operating LLM-based systems in production environments.Experience with the Google Agent Development Kit (ADK) or comparable agent frameworks, such as CrewAI or LangGraph.Familiarity with data engineering practices and data governance processes.Applied machine learning experience encompassing embeddings, classification, clustering, natural language processing, and evaluation metrics.
Education Required:Bachelor's degree in Computer Science, Engineering, Data Science, or a related technical field.
Education Preferred:Master's Degree
**Listed salary ranges may vary based on experience, qualifications, and local market. Also, some positions may include bonuses or other incentives***
Stefanini takes pride in hiring top talent and developing relationships with our future employees. Our talent acquisition teams will never make an offer of employment without having a phone conversation with you. Those face-to-face conversations will involve a description of the job for which you have applied. We will also speak with you about the process, including interviews and job offers.
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.
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