11 SpaCy Jobs

/deep learning algorithms into production Proficient with data structures and algorithms, with good experience handling unstructured data. Proficiency in Python, NLP libraries (NLTK, SpaCy), Hugging Face Transformers, data science libraries (Numpy, Pandas) and deep learning frameworks (TensorFlow and/or PyTorch). Experience crawling, cleaning, processing unstructured data. Understanding more »

CNN) and popular frameworks (e.g., TensorFlow, PyTorch, Keras). Expertise in multiple open-source machine learning libraries (e.g., scikit-learn, Pandas, NumPy, Matplotlib, seaborn, Spacy, NLTK, transformers, Hugging Face, pymupdf). Practical experience solving NLP and document extraction problems. Ability to create compelling stories and visualizations with data to communicate more »

in NLP and develop innovative solutions. Experience in developing large language models based on transformer/mamba architectures. Proficiency in Python, NLP libraries (NLTK, SpaCy), Hugging Face Transformers, data science libraries (Numpy, Pandas) and deep learning frameworks (TensorFlow and/or PyTorch). Experience crawling, cleaning, processing unstructured data. Strong more »

managing the cloud infrastructure, using Terraform > Mentoring less experienced engineers Senior ML Learning Engineer the environment: > Python - advanced features, NumPy, keras, pandas, NLTK, scikit, SpaCy > Machine Learning NLP, ML algos, Hugging Face, large language models (LLMs), Retrieval Augmented Generation), learning algorithms, neural networks, ML frameworks (TensorFlow, PyTorch) > Strong IaC experience more »

role will see you specifying, designing, developing and testing in Python. ML Learning Engineer the environment: Python - advanced features, NumPy, keras, pandas, NLTK, scikit, SpaCy Machine Learning NLP, ML algos, Hugging Face, large language models (LLMs), Retrieval Augmented Generation), learning algorithms, neural networks, ML frameworks (TensorFlow, PyTorch) Data Wrangling Systems more »

tech team using a diverse tech stack including: Backend: Python, FastAPI, PostgreSQL, Vespa, SQLAlchemy, Flask. Frontend: React, Next.js. Data Science: Python, Jupyter, PyTorch, Pandas, Spacy, Huggingface, Numpy, Streamlit, Weights and biases. Infra: Pulumi, Docker, AWS AppRunner, Step Functions, Grafana cloud monitoring, Prefect. Who you are Must haves: Experience using Python more »

in a tech team using a diverse tech stack including: Backend: Python, FastAPI, PostgreSQL, Vespa, SQLAlchemy, Flask.Frontend: React, Next.js.Data Science: Python, Jupyter, PyTorch, Pandas, Spacy, Huggingface, Numpy, Streamlit, Weights and biases.Infra: Pulumi, Docker, AWS AppRunner, Step Functions, Grafana cloud monitoring, Prefect.Who you areMust haves:Experience using Python with one of more »

with graph databases such as neo4js, pinecone or milvious or similar. 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. Benefits (Remote must be within 4-5 hours of CET more »

design and requirements analysis/refinement, etc. - Coaching and mentoring other team members, as appropriate. Essential Skills: - OCR and lexical analysis techniques including NLP (Spacy) and ML - AWS including CDK, Serverless (Lambda), S3, API Gateway, Cloud Formation, Aurora/Postgres - Python/Typescript - Making excellent quality software with other people. more »

team on a 6-month contract basis. You will have knowledge and experience in the following areas: OCR and lexical analysis techniques including NLP (spacy) and ML. AWS including: CDK Serverless (Lambda) S3 API Gateway Cloud Formation Aurora/Postgres Python/Typescript Stakeholder management Design and implementation of solutions more »

pipeline infrastructure ideally with SQS/similar queueing communication mechanisms Hardcore ETL especially with unstructured text Productionising NLP models such as Hugging Face and spacy Scraping infrastructure and execution Requirements: Bachelor's or Master's degree in Mathematics, Computer Science, Engineering, or a related field. 5 Years+ working as a … data engineer ideally in a senior capacity Strong experience of Python Deep knowledge of NLP such as hugging face and spacy AWS - ETL Processes (Glue, Lambda etc.), ECS, S3, Database Solutions (Redshift, RDS) Vector Databases a big plus Familiar with Graph Data Structure and Algorithms Benefits: Competitive salary and benefits more »