ZipRecruiter

Log In

1

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 ...

Megan soft Inc

AI Engineer (W2 Position)

Dearborn, MI · On-site

$50 - $55/hr

... AI, natural language processing, image processing, cognitive automation, intelligent process ... programming * Research and optimize AI technologies to enhance efficiency and accuracy of data ...

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 ...

Software People, Inc.

AI Developer

Lansing, MI · On-site

... with Natural Language Processing (NLP) tools like SpaCy, NLTK, or Hugging Face's Transformers for text-based document processing. • Knowledge of NLP concepts like intent recognition, entity ...

next page

Showing results 1-20

All JobsNatural Language Processing Engineer JobsSenior Natural Language Processing Engineer JobsSenior Natural Language Processing Engineer Jobs in Michigan

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 AI Developer with GCP (Locals Only)

Senior AI Developer with GCP (Locals Only)

Megan soft Inc

Dearborn, MI • On-site

Other

Posted 4 days ago

Job description

Role: Senior AI Developer with GCP (W2 Position)

Location: Dearborn, MI (Hybrid) Locals Only

Duration: 12+ Months

Experience: 7+ Years

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:

  • 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
  • Perform large-scale experimentation and develop data driven applications that translate data into actionable intelligence
  • 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
  • Research and optimize AI technologies to enhance efficiency and accuracy of data analysis and create more efficient automation

Skills Required:

Artificial Intelligence & Expert Systems

Skills Preferred:

Python, GCP, GCP Cloud Run

Experience Required:

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

Experience Preferred:

Experience in the design, build, and implementation of AI-powered applications and systems. Experience in the integration of AI models into existing software and automating processes. Knowledge of Python and GCP a plus.

Thanks & Regards
Azmeera koti
Megan Soft, Inc.
17177 N. Laurel Park Dr;
Suite #337, Livonia, MI - 48152.
Direct No: +1  (248) 671-4750
E Mail : Koti@megansoft.com
Website : www.megansoft.com
Linked In ID : www.linkedin.com/in/koti-azmeera-104253335