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Spacy Jobs (NOW HIRING)

Software People, Inc.

AI Developer

Lansing, MI · On-site

Skills Needed * 3+years in TensorFlow, PyTorch, Keras, or Scikit-learn. * 3+ years in microservices. * 3+years in SpaCy, NLTK, or Hugging Face's * 3+years in Tesseract, Google Vision API, or AWS ...

RADGOV INC

Senior Data Scientist

Washington, DC · On-site

... Spacy, XGBoost Statistical analysis: Advanced knowledge of statistical modeling, data analysis techniques, and problem-solving skills Ability to work independently and collaboratively, taking ...

Savant Bio

AI/ML Engineer

Manhattan, NY · On-site

... Face, spaCy) • Experience working with large-scale unstructured or semi-structured data • Practical knowledge of LLMs: prompt engineering, evaluation, fine-tuning, observability • Comfort ...

Tror AI for everyone

Data Scientist

Baltimore, MD · On-site

Implement and optimize NLP techniques using tools like NLTK, SpaCy, or Transformers. * Build and integrate solutions using Large Language Models (LLMs) and Generative AI frameworks. * Perform data ...

Kaizen Stackup

Agent Engineer

San Francisco, CA · On-site

$17.75 - $23.50/hr

Familiarity with natural language processing techniques and libraries (e.g., NLTK, spaCy) * Knowledge of reinforcement learning and decision-making algorithms * Strong problem-solving skills and ...

Ai2

Research Engineer, FlexOlmo

Seattle, WA · On-site

... spaCy, AllenNLP, transformers). • Experience successfully operating models at scale in a production setting. • Experience in HPC settings. • Curiosity about AI research. Company : We are a ...

Tata Consultancy Services

Gen AI Developer Intern

Dublin, OH · On-site

$18.50 - $24.50/hr

... spaCy, Gensim, Tuner, Pandas, BERT, TensorFlow, Keras, PyTorch, Flask, Django, AWS Sagemaker, AWS Bedrock and Azure - ML Studio, cognitive services & OpenAI. • Understanding of ethical ...

Bazze

AI Engineer

San Francisco, CA · On-site

... Spacy, or Hugging Face's Transformers. Company : Bazze provides an alternative data marketplace that analyzes and assesses risks posed by hostile foreign actors. Founded in 2018, the company is ...

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How much do spacy jobs pay per year?

As of Aug 16, 2026, the average yearly pay for spacy in the United States is $141,976.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,500.00 and $163,500.00 per year, depending on experience, location, and employer.

What are some common challenges faced by professionals working with spacy in natural language processing projects?

Professionals using spaCy often encounter challenges such as customizing pre-trained models to fit domain-specific language, handling large-scale text data efficiently, and integrating spaCy pipelines with other machine learning frameworks. Additionally, staying updated with frequent library updates and best practices can be demanding. Collaboration with data scientists and software engineers is typically necessary to ensure seamless deployment and scaling of NLP solutions in production environments.

What are the key skills and qualifications needed to thrive as a spacy specialist?

To thrive as an NLP Engineer specializing in spaCy, you need a solid background in computer science, linguistics, and machine learning, often supported by a relevant degree. Proficiency with Python programming, the spaCy library, and experience with tools like Jupyter Notebooks and version control systems are typically required. Strong analytical thinking, problem-solving skills, and effective communication help you design and implement robust language models and collaborate with multidisciplinary teams. These skills and qualities are crucial for developing, optimizing, and deploying high-quality NLP solutions that meet real-world business needs.

What is a spacy job?

A Spacy job typically refers to a professional who works with spaCy, an open-source natural language processing (NLP) library in Python. These roles often involve developing, implementing, or maintaining NLP applications such as text classification, named entity recognition, or information extraction using spaCy. Professionals in this field may work as data scientists, NLP engineers, or machine learning specialists, leveraging spaCy's efficient and easy-to-use tools to process and analyze large volumes of text data. Familiarity with Python programming and a background in linguistics or machine learning are often beneficial for such roles.
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What are the most commonly searched types of Spacy jobs?

The most popular types of Spacy jobs are:

What job categories do people searching Spacy jobs look for?

The top searched job categories for Spacy jobs are:

Spacy jobs near you
Infographic showing various Spacy job openings in the United States as of August 2026, with employment types broken down into 1% Internship, 83% Full Time, 1% Part Time, and 15% Contract. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution, with an average salary of $141,976 per year, or $68.3 per hour.

AI Developer

Software People, Inc.

Lansing, MI • On-site

Contractor

Re-posted 14 days ago

Job description

Phone/Skype Hire. Onsite from day 1 / Hybrid

Location: Lansing, MI

Duration: 12+ months

Responsibilities

The position is responsible for providing ongoing maintenance and support of GCP applications such as Document AI (DOC AI) for vital records within our department. The DOC AI is a Google Cloud product that is used to scan paper marriage licenses, extract index information and images to FileNet and stored in a on-prem application called VERA. The application is utilized by Vital Records employees. Changes are being made to enhance the stability and functionality of the systems.The resource is integral to developing and maintaining DOC AI solution, streamlining critical business processes, data integrity, SEM/SUITE compliance, and securing the applications.  The resource also performs as a technical lead and provides technical guidance to the other developers in the department.  As a technical lead, the resource participates in a variety of analytical assignments that provide for the enhancement, integration, maintenance, and implementation of projects.  The resource also provides technical oversight to developers in the team that support other critical applications . Not having a resource on staff will lead to MDHSS manually documenting and developing screen plans that can lead to errors causing data integrity issues and can eventually lead to incorrect information being processed and reporting of the patient information.

Skills Needed

•             3+years in TensorFlow, PyTorch, Keras, or Scikit-learn.

•             3+ years in microservices.

•             3+years in SpaCy, NLTK, or Hugging Face’s

•             3+years in Tesseract, Google Vision API, or AWS Textract.

•             3+years in Dialogflow ES or CX, Google Assistant SDK, or other Google Cloud chatbot development tools

•             3+years in RESTful APIs and webhooks

•             3+years in SQL, R, and/or Pandas.

•             3+ years in cloud computing and software development.

•             3+ years software development in Python, Java, JavaScript.

•             3+  years implementing core Artificial Intelligence (AI) and Machine Learning (ML) concepts.

•             3+ years designing, building, and managing Google Cloud Platform (GCP) solutions.

•             3+ years in projects development using  Angular/React JS, JavaScript framework.

•             3+ years programming in the JBOSS Enterprise SOA environment including JBOSS Workflow.

•             3+ years using CMM/CMMI Level 3 methods and practices.

•             3+ years implemented agile development processes including test driven development.

•             3+ years' Experience creating CI/CD pipelines using Azure DevOps.

•             Experience in programming languages such as Python, Java, JavaScript (Node.js), and/or C++.

•             Experience in Oracle/Data Bricks/Elastic/ELK.

•             Proficiency in data processing and analysis using tools such as SQL, R, and/or Pandas.

•             Experience in working with large datasets and data preprocessing techniques.

•             Proficiency in unit testing and integration testing for chatbot flows and APIs.

•             Familiarity with debugging tools and performance monitoring to ensure the chatbot runs smoothly.

•             Strong understanding of conversation design and user experience principles to create intuitive and engaging chatbot interfaces.

•             Ability to design, develop, and deploy AI and machine learning solutions.

•             Experience with machine learning algorithms and deep learning frameworks such as TensorFlow, PyTorch, Keras, or Scikit-learn.

•             Proficiency 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 extraction, and context management.

•             Strong understanding of neural networks, computer vision, natural language processing, and/or reinforcement learning.

•             Experience with OCR (Optical Character Recognition) Tesseract, Google Vision API, or AWS Textract.

•             Proficiency in Dialogflow ES or CX, Google Assistant SDK, or other Google Cloud chatbot development tools.

•             Experience in building, managing, and optimizing chatbot applications for different platforms (web, mobile, voice assistants).

•             Experience in working with RESTful APIs and webhooks to enable backend communication

•             Knowledge of cloud technologies such as AWS, Google Cloud AI, or Azure AI services for document processing and AI model deployment.

•             Experience with Google Cloud Platform (GCP), including Google Cloud Functions, App Engine, and Firestore for deploying chatbots.

•             Ability to design effective conversational flows, manage dialogue context, and improve user satisfaction.

•             Familiarity with agile development methodologies and version control systems like Git.

•             Strong problem-solving and analytical skills with a focus on continuous improvement."