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Nlp Engineer Jobs in Michigan (NOW HIRING)

THOMSON REUTERS

Research Engineer

Ann Arbor, MI · Hybrid

Previousexposure to Natural Language Processing (NLP) problems andhavefamiliarity with key tasks ... Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to ...

New

THOMSON REUTERS

Senior Research Engineer

Ann Arbor, MI · Hybrid

$102K - $140K/yr

Exposure to Natural Language Processing (NLP) problems and familiarity with key tasks such as Named ... Hands-on experience in other programming language/scripting language and development stack (Java ...

Software People, Inc.

AI Developer

Lansing, MI · On-site

The resource also provides technical oversight to developers in the team that support other ... Knowledge of NLP concepts like intent recognition, entity extraction, and context management.

Stellantis

AI Validation Engineer

Auburn Hills, MI · On-site

We are seeking a Senior AI Validation Engineer to design and implement testing strategies ... Design and implement validation frameworks for deep learning models (perception, NLP, generative AI ...

New

University of Michigan

Data Architect Senior

Ann Arbor, MI · On-site

$65.75 - $88/hr

... NLP systems, and AI agents that operate over multimodal health-system data. * Collaborate with clinicians, scientists, trainees, and engineers, and contribute to manuscripts, datasets, open-source ...

General Motors

AI/ML Data Scientist (GPSSC)

Warren, MI · On-site

... NLP), SVM, XGBoost, Random Forest, Decision Trees, Clustering * Data Engineering : Databricks, Hadoop, SQL, Data Pipelines, Data Preprocessing & Feature Engineering * Cloud & Big Data Platforms ...

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Nlp Engineer information

See Michigan salary details

$31.8K

$93.5K

$119.8K

How much do nlp engineer jobs pay per year?

As of Aug 10, 2026, the average yearly pay for nlp engineer in Michigan is $93,506.00, according to ZipRecruiter salary data. Most workers in this role earn between $77,100.00 and $118,500.00 per year, depending on experience, location, and employer.

What are typical projects or responsibilities for an NLP engineer in a team setting?

As an NLP Engineer, you will often work on projects such as building text classification models, developing chatbots, or creating tools for information extraction from documents. Your responsibilities may include data preprocessing, model development and evaluation, and collaborating with data scientists or software engineers to deploy models into production. Day-to-day, you’ll also be involved in regular code reviews, experiment tracking, and keeping up with new advancements in NLP techniques. Teamwork and clear communication are essential, as you’ll regularly coordinate with product managers and other stakeholders to align solutions with business goals. This environment provides opportunities to develop both technical depth and leadership skills as you take on increasingly complex projects.

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

To thrive as an NLP Engineer, you need a strong foundation in mathematics, programming (especially Python), and experience with machine learning and natural language processing techniques, typically supported by a degree in computer science or a related field. Familiarity with NLP frameworks such as spaCy, NLTK, or Hugging Face Transformers, as well as experience using cloud platforms and version control systems, is also important. Strong problem-solving abilities, communication skills, and a collaborative mindset help you stand out in this role. These skills and qualities are crucial for developing, deploying, and optimizing language-based AI solutions that meet real-world business needs.

What does an NLP engineer do?

An NLP Engineer develops algorithms and models that enable computers to understand, interpret, and generate human language. They work with machine learning, deep learning, and linguistic principles to build applications like chatbots, speech recognition systems, and text analytics tools. Their role involves data preprocessing, model training, and optimization to improve language-based AI solutions.

What are popular job titles related to Nlp Engineer jobs in Michigan? For Nlp Engineer jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Nlp Engineer jobs in Michigan look for? The top searched job categories for Nlp Engineer jobs in Michigan are:
What cities in Michigan are hiring for Nlp Engineer jobs? Cities in Michigan with the most Nlp Engineer job openings:
Nlp Engineer jobs near you
Infographic showing various Nlp Engineer job openings in Michigan as of August 2026, with employment types broken down into 33% Full Time, and 67% Contract. Highlights an 100% In-person job distribution, with an average salary of $93,506 per year, or $45 per hour.

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Mount Pleasant, MI • Remote

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

About Us

Our mission is to bring people together and connect them into a community to nurture each other. We aim to share a conducive environment, a joyous space to grow and excel; a world brimming with selfless love and enough kindness. We strive to enrich each of our lives with kaleidoscopic memories we make here - vibrant, lively, of all hues and colors.

Job Description

​

This is a remote position.

We are seeking a highly skilled and innovative Generative AI Automation Engineer to join our team. The ideal candidate will be responsible for designing, developing, and implementing automation solutions powered by Generative AI models. This role requires a combination of expertise in machine learning, natural language processing, software engineering, and automation frameworks to drive efficiency and innovation in business processes.

Key Responsibilities:

Generative AI Model Implementation:

  • Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks.

  • Integrate pre-trained models or build custom models for specific use cases.

Automation Design and Development:

  • Design and implement AI-driven workflows and solutions to automate repetitive tasks and improve process efficiency.

  • Develop APIs, scripts, and tools for seamless integration of AI models into existing systems.

Data Management:

  • Collect, preprocess, and analyze large datasets for training and validating AI models.

  • Ensure data privacy and compliance with regulatory requirements during data handling.

System Integration:

  • Collaborate with software development and IT teams to integrate Generative AI solutions with enterprise systems.

  • Build and maintain pipelines for real-time AI inference and automation.

Monitoring and Optimization:

  • Continuously monitor AI automation solutions to ensure accuracy, efficiency, and reliability.

  • Optimize models and processes based on performance metrics and user feedback.

Research and Innovation:

  • Stay updated with the latest advancements in Generative AI and automation technologies.

  • Identify opportunities for implementing cutting-edge AI solutions to address business challenges.

Documentation and Collaboration:

  • Document technical designs, workflows, and implementation strategies.

  • Collaborate with cross-functional teams, including product managers, data scientists, and software engineers.

Requirements

Required Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

  • Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or Hugging Face.

  • Proficiency in designing and deploying machine learning models, particularly in Generative AI.

  • Experience with automation tools (e.g., RPA, workflow orchestration tools).

  • Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies (Docker, Kubernetes).

  • Solid understanding of data structures, algorithms, and software design principles.

  • Strong analytical and problem-solving skills.

  • Excellent communication and teamwork abilities.

Preferred Qualifications:

  • Experience with NLP, image generation, or multimodal AI models.

  • Hands-on experience with APIs for AI services like OpenAI, Cohere, or Google AI.

  • Familiarity with prompt engineering and fine-tuning Generative AI models.

  • Knowledge of MLOps practices for deploying and maintaining AI solutions.

  • Previous experience in automation or workflow optimization projects.

Benefits

Why Join Us?

  • Work with cutting-edge Generative AI technologies.

  • Collaborate with a team of forward-thinking innovators.

  • Make a tangible impact on the future of automation and AI-driven processes.

If you are passionate about leveraging Generative AI to create innovative automation solutions, we invite you to apply and be a part of our dynamic and growing team.

Apply