1 to 25 of 110 SpaCy Jobs

Knowledge of NoSQL databases (MongoDB, Cassandra, DynamoDB), message queueing systems (Kafka, RabbitMQ), and version control systems (Git). Preferred Skills: Experience with natural language processing libraries such as NLTK, spaCy, or Hugging Face Transformers. Familiarity with time-series databases and analysis tools. Knowledge of AI model serving frameworks like TensorFlow Serving or ONNX Runtime. Experience with AI ethics and bias More ❯

in building and implementing data science and machine learning solutions to tackle business problems. Comfort with rapid prototyping and disciplined software development processes. Experience with Python, ML libraries (e.g. spaCy, NumPy, SciPy, Transformers, etc.), data tools and technologies (Spark, Hadoop, Hive, Redshift, SQL), and toolkits for ML and deep learning (SparkML, Tensorflow, Keras). Demonstrated ability to work on multi More ❯

tuning PEFT/LoRA, Context embedding, Vector database technologies and Semantic Search techniques & tools. Proficiency in programming languages such as Python and experience with NLP libraries such as NLTK, spaCy, Transformers, Hugging Face, BERT and Gen AI frameworks like Llangchain. Llamaindex etc. Strong problem-solving skills and ability to handle complex NLP challenges. Excellent communication and collaboration skills, with the More ❯

tuning PEFT/LoRA, Context embedding, Vector database technologies and Semantic Search techniques & tools. Proficiency in programming languages such as Python and experience with NLP libraries such as NLTK, spaCy, Transformers, Hugging Face, BERT and Gen AI frameworks like Llangchain. Llamaindex etc. Strong problem-solving skills and ability to handle complex NLP challenges. Excellent communication and collaboration skills, with the More ❯

experience Proven experience in AI/machine learning project implementation In-depth understanding of the Python software development stacks, ecosystems, frameworks and tools such as Numpy, Scipy, Pandas, Dask, spaCy, NLTK, sci-kit-learn and PyTorch Experience with popular Python frameworks such as Django, Flask or Pyramid Experience with Jupyter Notebooks Experience with EDA and data visualization libraries such as More ❯

applications, especially in NLP or classification problems. Hands on experience with ML tools like TensorFlow, PyTorch etc. Experience with data science libraries such as NLTK, Scikit-learn, SciPy, (Sci)SpaCy etc. Excellent problem-solving and programming skills in Python Excellent communication skills Preferred Qualifications & Skills: If you have the following characteristics, it would be a plus: Master's or PhD More ❯

Azure, or GCP). A Bonus: Experience with graph databases such as Neo4j, Pinecone, or Milvus. Experience building native desktop apps. Experience with NLP libraries and frameworks, such as spaCy or Transformers. Familiarity with machine learning concepts and the ability to work with NLP datasets. Why Join Us: Join a pioneering joint venture at the intersection of AI and industry More ❯

thrive in a collaborative, fast-paced environment, we want to hear from you! Key Responsibilities : Develop and deploy state-of-the-art NLP models and solutions using technologies like spaCy, Transformers, and other NLP frameworks. Work with cross-functional teams to implement machine learning solutions for diverse applications, including but not limited to text embeddings, sentiment analysis, question answering, summarization … science with a strong focus on machine learning, AI, or language technologies. Technical Skills : Proficiency in Python or similar programming (intermediate level). Expertise in NLP libraries such as spaCy, Transformers, Sentence Transformers, LangChain, LangGraph, LlamaIndex, BERTopic. Hands-on experience with machine learning libraries (scikit-learn, TensorFlow, PyTorch). Experience with cloud platforms (AWS, Google Cloud, Azure) and version control More ❯

programming skills in Python and/or another high-level language commonly used in machine learning. Experience with NLP and Machine Learning frameworks and libraries (e.g., PyTorch, HuggingFace, LangChain, spaCy, NLTK, scikit-learn, etc.). Demonstrated understanding of various techniques for extracting structured data from unstructured sources, indicating expertise in information retrieval. Familiarity with LLMs APIs for pre-processing, fine More ❯

programming skills in Python and/or another high-level language commonly used in machine learning. Experience with NLP and Machine Learning frameworks and libraries (e.g., PyTorch, HuggingFace, LangChain, spaCy, NLTK, scikit-learn, etc.). Demonstrated understanding of various techniques for extracting structured data from unstructured sources, indicating expertise in information retrieval. Familiarity with LLMs APIs for pre-processing, fine More ❯

in building and implementing data science and machine learning solutions to tackle business problems. Comfort with rapid prototyping and disciplined software development processes. Experience with Python, ML libraries (e.g. spaCy, NumPy, SciPy, Transformers, etc.), data tools and technologies (Spark, Hadoop, Hive, Redshift, SQL), and toolkits for ML and deep learning (SparkML, Tensorflow, Keras). Demonstrated ability to work on multi More ❯

and agentic frameworks (e.g., LangChain, LangSmith, LangGraph, or similar). Expert knowledge of test-driven development techniques as applied to non-deterministic AI systems. Experience in NLP techniques (transformers, spaCy, GPT/Claude/Gemini) Expertise with cloud platforms (AWS, Azure, GCP). Experience with MLOps, CI/CD, and deployment pipelines in regulated environments. Familiarity with healthcare interoperability standards More ❯

and agentic frameworks (e.g., LangChain, LangSmith, LangGraph, or similar). Expert knowledge of test-driven development techniques as applied to non-deterministic AI systems. Experience in NLP techniques (transformers, spaCy, GPT/Claude/Gemini) Expertise with cloud platforms (AWS, Azure, GCP). Experience with MLOps, CI/CD, and deployment pipelines in regulated environments. Familiarity with healthcare interoperability standards More ❯

and agentic frameworks (e.g., LangChain, LangSmith, LangGraph, or similar). Expert knowledge of test-driven development techniques as applied to non-deterministic AI systems. Experience in NLP techniques (transformers, spaCy, GPT/Claude/Gemini) Expertise with cloud platforms (AWS, Azure, GCP). Experience with MLOps, CI/CD, and deployment pipelines in regulated environments. Familiarity with healthcare interoperability standards More ❯

and agentic frameworks (e.g., LangChain, LangSmith, LangGraph, or similar). Expert knowledge of test-driven development techniques as applied to non-deterministic AI systems. Experience in NLP techniques (transformers, spaCy, GPT/Claude/Gemini) Expertise with cloud platforms (AWS, Azure, GCP). Experience with MLOps, CI/CD, and deployment pipelines in regulated environments. Familiarity with healthcare interoperability standards More ❯

and agentic frameworks (e.g., LangChain, LangSmith, LangGraph, or similar). Expert knowledge of test-driven development techniques as applied to non-deterministic AI systems. Experience in NLP techniques (transformers, spaCy, GPT/Claude/Gemini) Expertise with cloud platforms (AWS, Azure, GCP). Experience with MLOps, CI/CD, and deployment pipelines in regulated environments. Familiarity with healthcare interoperability standards More ❯

and agentic frameworks (e.g., LangChain, LangSmith, LangGraph, or similar). Expert knowledge of test-driven development techniques as applied to non-deterministic AI systems. Experience in NLP techniques (transformers, spaCy, GPT/Claude/Gemini) Expertise with cloud platforms (AWS, Azure, GCP). Experience with MLOps, CI/CD, and deployment pipelines in regulated environments. Familiarity with healthcare interoperability standards More ❯

and agentic frameworks (e.g., LangChain, LangSmith, LangGraph, or similar). Expert knowledge of test-driven development techniques as applied to non-deterministic AI systems. Experience in NLP techniques (transformers, spaCy, GPT/Claude/Gemini) Expertise with cloud platforms (AWS, Azure, GCP). Experience with MLOps, CI/CD, and deployment pipelines in regulated environments. Familiarity with healthcare interoperability standards More ❯

and agentic frameworks (e.g., LangChain, LangSmith, LangGraph, or similar). Expert knowledge of test-driven development techniques as applied to non-deterministic AI systems. Experience in NLP techniques (transformers, spaCy, GPT/Claude/Gemini) Expertise with cloud platforms (AWS, Azure, GCP). Experience with MLOps, CI/CD, and deployment pipelines in regulated environments. Familiarity with healthcare interoperability standards More ❯

and agentic frameworks (e.g., LangChain, LangSmith, LangGraph, or similar). Expert knowledge of test-driven development techniques as applied to non-deterministic AI systems. Experience in NLP techniques (transformers, spaCy, GPT/Claude/Gemini) Expertise with cloud platforms (AWS, Azure, GCP). Experience with MLOps, CI/CD, and deployment pipelines in regulated environments. Familiarity with healthcare interoperability standards More ❯

and agentic frameworks (e.g., LangChain, LangSmith, LangGraph, or similar). Expert knowledge of test-driven development techniques as applied to non-deterministic AI systems. Experience in NLP techniques (transformers, spaCy, GPT/Claude/Gemini) Expertise with cloud platforms (AWS, Azure, GCP). Experience with MLOps, CI/CD, and deployment pipelines in regulated environments. Familiarity with healthcare interoperability standards More ❯

and agentic frameworks (e.g., LangChain, LangSmith, LangGraph, or similar). Expert knowledge of test-driven development techniques as applied to non-deterministic AI systems. Experience in NLP techniques (transformers, spaCy, GPT/Claude/Gemini) Expertise with cloud platforms (AWS, Azure, GCP). Experience with MLOps, CI/CD, and deployment pipelines in regulated environments. Familiarity with healthcare interoperability standards More ❯

Experience with advanced deep learning-based coding models and Retrieval Augmented Generation Experience with traditional NLP tools such as BoW models, word embeddings, and Python NLP toolkits such as spacy, NLTK, huggingface Experience with machine learning techniques, tools, and frameworks like Keras, TensorFlow, pytorch Able to solve real-world problems using cutting-edge ideas and independent research A willingness to More ❯

Background: Advanced degree in AI, statistics, mathematics, computer science, or a related field. Programming and Frameworks: Hands-on experience with Python, TensorFlow or PyTorch, and NLP libraries such as spaCy and Hugging Face. GenAI Tools: Practical experience with LangChain, Hugging Face Transformers, and embedding models for building GenAI applications. Prompt Engineering: Expertise in prompt engineering, including prompt tuning, chaining, and More ❯

including experience building services with Flask. 5-8+ years of relevant AI/ML and/or software development experience Experience working with model libraries such as ScikitLearn, spaCy, and Hugging Face. Experience with MLOps including preparing data, training, evaluating, and deploying models. Design, build, and maintain scalable data pipelines and infrastructure to support our data-driven initiatives. Work More ❯