8 SpaCy Jobs with Hybrid or WFH Options

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 »

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 »

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 »

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 »

/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 »

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 »

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 »