the team. Qualifications Experience managing data pipelines and leading a data science team. Proficiency in Python and experience with LLMs and NLP frameworks (e.g., HuggingFace, Spacy, Pytorch/Tensorflow). Knowledge of Prompt Engineering, RAG techniques, and evaluation methodologies for integrating GenAI with search/retrieval systems. more »
Strong knowledge of Mathematical Statistics, Algorithms & Data Structures, ML Theory Strong knowledge of Python & SQL Experience training & fine-tuning Transformers or Large Language Models (Huggingface Transformers, OpenAI, Llama 2, Langchain) Experience serving Neural Networks in production (PyTorch, ONNX, TorchServe, Triton) Experience developing & maintaining production ML services Experience with ad-hoc more »
techniques. Preferably some experience with GenAI and associated packages (e.g. Langchain, Langgraph, CrewAI) Natural Language Processing (e.g. NLTK, SpaCy) and deep learning (e.g. PyTorch, Huggingface) • Experience in translating complex business requirements into data science opportunities. Skilled in presenting sophisticated concepts to senior stakeholders • A growth mindset with a passion for more »
model applications. Proficiency in Python and SQL, with strong skills in data manipulation and analysis. Expertise in AI frameworks such as TensorFlow, PyTorch, and HuggingFace Transformers. Ability to effectively communicate complex AI concepts, especially to non-technical stakeholders. Preferred Qualifications Experience with graph databases and knowledge graphs. more »
making systems. NLP Applications: Create state-of-the-art NLP solutions for sentiment analysis, document processing, and customer interaction improvements using tools like spaCy, HuggingFace Transformers, and OpenAI APIs. Vector Search and Semantic Retrieval: Build systems using vector databases such as Weaviate, Pinecone, and Milvus for real more »
and fine-tuning various ML Models (supervised and unsupervised models, classification, clustering, regression, etc). Hands-on experience with common ML libraries such as HuggingFace, XGBoost, PyTorch, TensorFlow. Track record of building and deploying ML models in production with the ability to monitor and remediate model decay more »
participate in the upside of an ultra-growth venture. Have fun Apply if: You have experience with our stack: Python, LlamaIndex/LangChain, PyTorch, HuggingFace, FastAPI, Postgres, SQLAlchemy, Alembic, OpenAI, Docker, Azure, Typescript, React. You have hands-on experience working with LLMs, RAG architectures, NLP, or applying Machine Learning to more »
like MLflow , Kubeflow , or Azure ML to automate model deployment and lifecycle management. Technical Skills : Programming : Advanced proficiency in Python and libraries like PyTorch, HuggingFace Transformers, TensorFlow, Numpy, and Pandas. Optimisation : Expertise in inference optimisation techniques (quantisation, distillation) and model-serving frameworks. Cloud Platforms : Experience deploying AI more »
We're Looking For: Proficiency in Python (and at least one other language a plus). Experience with key libraries such as PyTorch, Pandas, HuggingFace Transformers, or similar AI toolkits. Working knowledge of LLMs (e.g., GPT, BERT, Llama, Gemini) and experience applying them to solve specific problems. more »
a dynamic environment. Preferred Qualifications: Degree in Computer Science, Statistics, Informatics, Information Systems, or another quantitative field. Familiarity with deep learning libraries such as Huggingface, Transformers, Accelerator and Diffuser. Hands-on experience in training and fine-tuning generative models like diffusion models or large language models such as GPTs and more »
and deploying LLM-based solutions in an enterprise setting as a senior/staff scientist. Proficiency in Python and libraries such as TensorFlow, PyTorch, HuggingFace Transformers, and spaCy. Strong understanding of LLM architectures (e.g., GPT, BERT, T5) and experience fine-tuning them for specific tasks. Demonstrable experience more »
and deploying LLM-based solutions in an enterprise setting as a senior/staff scientist. Proficiency in Python and libraries such as TensorFlow, PyTorch, HuggingFace Transformers, and spaCy. Strong understanding of LLM architectures (e.g., GPT, BERT, T5) and experience fine-tuning them for specific tasks. Demonstrable experience more »
ultra-growth venture. Have fun 🙂 Apply if: You have experience with our stack: Python, FastAPI, Postgres, SQLAlchemy, Alembic, Typescript, React, LlamaIndex/LangChain, PyTorch, HuggingFace, OpenAI, Docker, Azure, You have taken entire products or features from ideation to deployment and you’ve measured their impact. You enjoy diving deep into more »
neural networks for predictive analytics and automated strategies. NLP: Implement NLP solutions for sentiment analysis, document processing, and customer interactions using tools like spaCy, HuggingFace, and OpenAI APIs. Vector Search: Build systems using vector databases (e.g., Weaviate, Pinecone, Milvus) for real-time data retrieval. MLOps: Deploy and more »
help with MLFlow/MLOps capabilities Key skills needed: 4 + years of NLP Experience LLM Experience - Quantisation, Pruning, Fine Tuning ML Libraries: LlamaIndex, HuggingFace/HFT Strong MLOps experience - CI/CD, MLFlow, KubeFlow Strong Python coding skills Previous leadership experience is desirable but not essential Benefits: Hybrid working more »
are you? You’re experienced in transformers, Python, and deep learning frameworks like PyTorch or TensorFlow. You’ve worked with LLM tools such as HuggingFace or LangChain, and have a proven track record of handling large datasets and vector databases. Familiarity with distributed computing and model optimisation is a big more »
production Must-Have Requirements Have deep, expert level experience with Python development Established application development experience in Service Oriented Architectures Experience implementing Transformers (ideally, HuggingFace) Fine-tuned Transformer Models (ideally with AWS sagemaker but not essential) Experience deploying models and hosting via an API (AWS is preferred) Experience writing AWS more »
data science, with a strong preference for experience in the insurance or financial services sector. Experience working with LLMs and NLP frameworks such as HuggingFace or OpenAI is a strong advantage. Proven experience managing and mentoring a team of data professionals, with a commitment to fostering a more »
applications. Technical Skills: Strong knowledge of tools like Dialogflow, Microsoft Bot Framework, Rasa, and Amazon Lex. Expertise with libraries such as spaCy, NLTK, and HuggingFace Transformers. Practical experience with Python, REST APIs, and dialog model training data preparation. Excellent ability to present complex AI concepts clearly and more »
quantization, distributed computing, and using frameworks like vLLM or Ray Serve. Nice to have Experience at a leading machine learning company (Mistral, Anthropic, X.ai, HuggingFace, Neuralink, OpenAI, etc.) Publications in top AI conferences. Interested in and thoughtful about the impacts of AI technology. About you You are going to thrive more »
in need of support having somewhere to go. We're a well-funded, seed-stage startup backed by top-tier tech investors involved in Huggingface, ElevenLabs, Replit, Captions, Shopify, Plaid, Notion, Canva, Twitch, Airtable, and others We're building a powerful team by empowering our engineers with the autonomy, flexibility more »
frontier of human knowledge through IP and R&D investments. We are backed by Index Ventures and entrepreneurs such as the co-founders of HuggingFace, Datadog or domain experts from Deepmind and OpenAI. Team We are a team of engineers and product experts with experience working on critical operational problems more »
Every Cure is an AI-driven nonprofit, biotech organization that was founded to uncover and repurpose existing drugs to treat the millions of patients who suffer from diseases without approved treatments. By focusing on drug repurposing, we aim to provide more »
