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Spacy Jobs (NOW HIRING)

K Anand Corporation

IVR BA with AI

Charlotte, NC · On-site

AI ML Very strong proficiency in Python Proven expertise in NLP, including Text classification Clustering Python ML NumPy, Pandas, Scikitlearn, XGBoost spaCy, Hugging Face Transformers, NLTK ...

IntraEdge

Engineer II Premium

Phoenix, AZ · On-site

$82K - $110K/yr

... NLTK, spaCy), pandas, Matplotlib - Vector databases (ChromaDB, FAISS, pgvector) - Cloud Deployment (AWS/GCP/Azure) - Docker - Git - AI/ML Skills: - Retrieval-Augmented Generation (RAG) - Prompt ...

Staffingine LLC

AI Platform Developer

Herndon, VA · On-site

For language-based AI, expertise in NLP techniques and libraries such as NLTK, spaCy, and Hugging Face Transformers is key. * Cloud Computing and MLOps: Knowledge of cloud platforms (AWS, GCP, Azure ...

Zortech Solutions

Java Developer with Instabase

Columbus, OH · On-site

$49.25 - $63.75/hr

Advise and instruct on the ecosystem of open source tools python spacy pandas sklearn etc compatible with Instabase and how customers can use them Skills Mandatory Skills : Instabase Java,HTML/HTML5 ...

Euclid Innovations

ML Engineer

Charlotte, NC · On-site

Required : • Proficiency in Python and ML libraries (TensorFlow, PyTorch, Hugging Face, SpaCy, etc.) • Experience with OCR tools (e.g., Tesseract, AWS Textract, Google Vision) • Strong ...

Compunnel

RAKOF 445 PYTHON DEVELOPER

Princeton, NJ · On-site

$52.75 - $72.50/hr

Understand the Python software development stacks, ecosystems, frameworks and tools such as Numpy, Scipy, Pandas, Dask, spaCy, NLTK, sci-kit-learn and PyTorch. Involved front-end development using ...

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How much do spacy jobs pay per year?

As of Sep 9, 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 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.

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 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.
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Spacy jobs near you
Infographic showing various Spacy job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 86% Full Time, 1% Part Time, and 12% Contract. Highlights an 81% Physical, 6% Hybrid, and 13% Remote job distribution, with an average salary of $141,976 per year, or $68.3 per hour.

IVR BA with AI

Charlotte, NC • On-site

K Anand Corporation
1 - 10 employees
Learn more about K Anand Corporationexternal

Other

Posted 5 days ago

Job description

Minimum years of experience needed in the required skills- 5+ Minimum over all work experience required - 6+ Domain - IVR/Contact center Any certification required - NA

Mandatory skills required : AI ML Very strong proficiency in Python Proven expertise in NLP, including Text classification Clustering Python ML NumPy, Pandas, Scikitlearn, XGBoost spaCy, Hugging Face Transformers, NLTK, SentenceTransformers

Nice to have skills

LLM Frameworks LangChain, LlamaIndex, OpenAI SDK Agentic AI (Good to Have) LangGraph, AutoGen, CrewAI Data & SQL Oracle, MySQL, SQLAlchemy Vector Databases FAISS, Pinecone, Weaviate, Qdrant LLMOps MLOps (Good to Have) MLflow, Weights & Biases, BentoML, Airflow

Complete job description -Good understanding about Contact Center TechnologyCCT Concepts 7 years of experience in technical writing of business requirements Reviews, analyzes, and evaluates information technology systems operations. Determines user needs and requirements and recommends ways to improve systems.

Interview mode - In person/Virtual -Virtual for initial round, if required in-person for final round How many rounds of interview - 3 at the max

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