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Senior Natural Language Processing Engineer Jobs in Michigan

Megan soft Inc

Senior AI/ML Engineer

Dearborn Heights, MI · On-site

$96K - $132K/yr

Role: Senior AI/ML Engineer (W2 Position) Location: Dearborn, MI (Hybrid) Duration: 12+ Months ... AI, natural language processing, image processing, cognitive automation, intelligent process ...

THOMSON REUTERS

Senior Research Engineer

Ann Arbor, MI · Hybrid

$102K - $140K/yr

We are seeking a Senior Research Engineer who willbringexpertiseinAI and ML ... Exposure to Natural Language Processing (NLP) problems and familiarity with key tasks such as Named ...

THOMSON REUTERS

Lead Research Engineer

Ann Arbor, MI · On-site +1

$100K - $132K/yr

We hire engineers and specialists across a variety of AI research areas to drive the company ... Previous exposure to Natural Language Processing (NLP) problems and have familiarity with key tasks ...

Pwc

AI Engineer

Detroit, MI · On-site

$50K - $112K/yr

... AI Engineer, you will be at the forefront of transforming raw data into actionable insights ... natural language processing tools like NLTK for text analytics and sentiment analysis ...

Pwc

AI Engineer

Grand Rapids, MI · On-site

$50K - $112K/yr

... AI Engineer, you will be at the forefront of transforming raw data into actionable insights ... natural language processing tools like NLTK for text analytics and sentiment analysis ...

Software People, Inc.

AI Developer

Lansing, MI · On-site

The resource also provides technical oversight to developers in the team that support other ... Proficiency with Natural Language Processing (NLP) tools like SpaCy, NLTK, or Hugging Face ...

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Senior Natural Language Processing Engineer information

What is the difference between Senior Natural Language Processing Engineer vs Data Scientist?

AspectSenior Natural Language Processing EngineerData Scientist
Required CredentialsAdvanced degree in CS, NLP, or related field; experience with NLP frameworksDegree in CS, statistics, or related; data analysis skills
Work EnvironmentDevelops NLP models, algorithms, and language-specific toolsAnalyzes data, builds predictive models, visualizes insights
Employer & Industry UsageTech companies, AI startups, research institutions focusing on language techVarious industries including finance, healthcare, marketing

While both roles require strong analytical skills and programming knowledge, Senior NLP Engineers specialize in language-specific models and algorithms, whereas Data Scientists focus on broader data analysis and predictive modeling across various data types.

What are some common challenges faced by senior natural language processing engineers when deploying NLP models to production?

Senior NLP Engineers often encounter challenges such as ensuring model scalability, maintaining accuracy with real-world data, and addressing data privacy concerns. Deploying models at scale requires optimizing for speed and efficiency, as well as monitoring performance to handle domain shifts or unexpected inputs. Collaboration with DevOps and data engineering teams is crucial to integrate models seamlessly into existing pipelines and to ensure robust, maintainable solutions.

What does a senior natural language processing engineer do?

A Senior Natural Language Processing (NLP) Engineer designs and implements advanced algorithms that enable computers to understand, interpret, and generate human language. They work on tasks such as text classification, sentiment analysis, machine translation, and conversational AI. In addition to developing NLP models, they often lead projects, mentor junior team members, and collaborate with data scientists, software engineers, and product managers to build and deploy language-based applications. Their expertise helps organizations leverage language data to solve complex problems and improve user experiences.

What are the key skills and qualifications needed to thrive as a senior natural language processing engineer, and why are they important?

To thrive as a Senior Natural Language Processing Engineer, you need a deep understanding of machine learning, linguistics, and advanced programming skills in languages like Python, typically backed by a degree in computer science or a related field. Familiarity with NLP frameworks (such as spaCy, NLTK, or Hugging Face), cloud platforms, and experience with deep learning libraries like TensorFlow or PyTorch are crucial. Strong problem-solving abilities, effective communication, and the ability to work collaboratively in multidisciplinary teams are standout soft skills. These skills and qualities are essential for developing, deploying, and refining language-based AI solutions that meet complex business and user needs.
What are the most commonly searched types of Natural Language Processing Engineer jobs in Michigan? The most popular types of Natural Language Processing Engineer jobs in Michigan are:
What job categories do people searching Senior Natural Language Processing Engineer jobs in Michigan look for? The top searched job categories for Senior Natural Language Processing Engineer jobs in Michigan are:
What cities in Michigan are hiring for Senior Natural Language Processing Engineer jobs? Cities in Michigan with the most Senior Natural Language Processing Engineer job openings:
Senior Natural Language Processing Engineer jobs near you

Senior Artificial Intelligence Associate//Dearborn, MI//W2 only

Saanvi Technologies

Dearborn, MI • On-site

Contractor

Re-posted 6 days ago

Job description

Senior Artificial Intelligence Associate

Dearborn, MI 4days onsite

W2

Position Description:

Employees in this job function are responsible for developing intelligent programs, cognitive applications and algorithms for data analysis and automation, leveraging various AI techniques such as deep learning, generative AI, natural language processing, image processing, cognitive automation, intelligent process automation, reinforcement learning, virtual assistants and specialized programming Key Responsibilities: 1) Understand business requirements and develop AI algorithms, models and programs to solve complex problems, generate recommendations, extract patterns, make predictions, interpret sensor data (images, sound), orchestrate automation and enable self-service capabilities 2) Perform large-scale experimentation and develop data driven applications that translate data into actionable intelligence 3) Drive innovative applications of Artificial Intelligence tools and techniques such as deep learning, generative AI, natural language processing, image processing, cognitive automation, intelligent process automation, reinforcement learning, virtual assistants and specialized programming 4) Research and optimize AI technologies to enhance efficiency and accuracy of data analysis and create more efficient automation

Skills Required:

Google Cloud Platform, Python

Skills Preferred:

This role focuses on hands-on development of AI-powered systems that: • Integrate Google LLMs with BigQuery data • Build tool-using AI agents for root cause analysis • Persist investigation intelligence across sessions • Deliver explainable insights to quality engineers What You Will Buil d • AI agents that generate and execute BigQuery SQL autonomously • Investigation memory models (structured + optional semantic) • Multi-step reasoning workflows • APIs that power UX for quality engineers • Logging, traceability, and governance mechanisms

Experience Required:

Senior Associate Exp: 3 to 5 years experience in relevant field

Experience Preferred:

•Experience with Infrastructure-as-Code (Terraform) and DevOps practices. •Familiarity with CI/CD tools like Tekton or Jenkins. •Experience with Cloud Run, Big Query and GitHub CoPilot. •Understanding of Agile methodologies. •Experience with backend frameworks such as Flask, Django, FastAPI. •Experience with Test-First/Test Driven Development (TDD), MVP, Evolutionary design. •Basic understanding of Machine Learning.

Education Required:

Bachelor's Degree

Education Preferred:

Additional Safety Training/Licensing/Personal Protection Requirements:

Additional Information :

4 days on site

Saanvi Technologies logo

About Saanvi Technologies

Sourced by ZipRecruiter

Saanvi Technologies is a staffing company that specializes in providing IT professionals to businesses. Our employees are experts in their field, and have the skills and experience necessary to help businesses grow and succeed. Saanvi Technologies is dedicated to helping businesses achieve their goals, and they have a proven track record of success. Our employees are qualified and reliable, and they always go above and beyond to meet the needs of their customers.

Company size

51 - 200 Employees

Headquarters location

Farmington, MI, US

Social media

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