This isn't a research role - you won't be training models from scratch. You'll be building production features using tools like OpenAI, HuggingFace, LangChain, and more. This is not a data science role, and it's not about experimental prototypes that never ship. We care … Product, Engineering, and Customer Success to align AI-powered features with user needs. Evaluate, fine-tune, and integrate third-party AI models (e.g., OpenAI, HuggingFace) into our SaaS platform. Define best practices and workflows for integrating AI into a high-growth SaaS product. Contribute to the design … experience deploying AI/ML solutions in a SaaS or product-focused environment. Strong Python skills and hands-on experience with tools like OpenAI, HuggingFace, LangChain, or other LLM frameworks. Familiarity with LLMs, embeddings, RAG pipelines, and integrating AI into user-facing workflows. You know when AI More ❯
models for efficient inference using formats like ONNX and TensorRT Proficiency in Python and ML/engineering frameworks such as PyTorch, TensorFlow (including Keras), HuggingFace (Transformers, Datasets) and scikit-learn, etc Experience with MLOps tools, including MLFlow, workflow orchestrators (Airflow, Metaflow, Perfect or similar), and containerisation (Docker More ❯
experience building and deploying RAG systems and/or LLM-powered applications in production environments. Proficiency in Python and ML libraries such as PyTorch, HuggingFace Transformers , or TensorFlow. Experience with vector search tools (e.g., FAISS, Pinecone, Weaviate) and retrieval frameworks (e.g., LangChain, LlamaIndex). Hands-on experience More ❯
in deploying and managing Generative AI models (e.g., GPT, Stable Diffusion, BERT). Proficient in Python and ML libraries such as TensorFlow, PyTorch, or Hugging Face. Skilled in cloud platforms (AWS, GCP, Azure) and managed AI/ML services. Hands-on experience with Docker, Kubernetes, and container orchestration. Expertise 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 ❯
MongoDB Experience on general programming languages: Python, C++, Java, etc. Experience with deep learning, machine learning and NLP frameworks such as PyTorch (or TensorFlow), HuggingFace Transformer, Scikit-learn Experience with working in Linux A strong intuition for what makes products a joy to use Empathy for how different users will More ❯
for experience in the following skills: Relevant work experience in data science, machine learning, and business analytics. Some level of exposure to OpenAI, Bedrock, Huggingface, etc. Practical experience in coding languages e.g. Python, C++, etc.; (Python preferred). Proficiency in database technologies e.g. SQL, No-SQL and Big Data technologies More ❯
VectorDBs. Expert programming skills in languages such as Python, Java, or C++, and working knowledge of deep learning frameworks such as TensorFlow, PyTorch, or Hugging Face. Understanding of generative models, such as Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), and Transformer models (e.g., GPT, BERT for text). Experience More ❯
for experience in the following skills: Relevant work experience in data science, machine learning, and business analytics Some level of exposure to OpenAI, Bedrock, Hugging face..etc Practical experience in coding languages eg. Python, C++ etc.; (Python preferred) Proficiency in database technologies eg. SQL, No-SQL and Big Data technologies More ❯
native Machine Learning platform Extensive experience with programming languages such as Python, Java, Scala etc. Solid experience with ML frameworks such as Pytorch and Huggingface The ability to work in a team, collaborate with others to solve interesting problems that directly affect our customers Demonstrated critical thinking and problem-solving More ❯
intelligence and machine learning and extensive practical experience with it. Expert knowledge and experience with relevant programming languages (incl. Python), frameworks (incl. Pycharm, OpenAI, HuggingFace, Spark, Azure, AWS). Extensive experience with cloud environments (AWS, Azure, GCP). Ability to write highly performant code working with big data. Bachelor's More ❯
with OOP, and data-validation libraries such as Pydantic. Deep familiarity with Python and its ecosystem for AI/ML, including libraries like PyTorch, HuggingFace Transformers, and scikit-learn. Experience with data manipulation using libraries such as Pandas and NumPy, and familiarity with parallelization or asynchronous programming. … that help people thrive at UnderwriteMe: Entrepreneurial: Shows initiative and a proactive approach to identifying and seizing the right opportunities. Shows resilience in the face of challenges and maintains a bias for action. Curiosity: Exhibits a strong desire to learn and understand new concepts. Approaches problems with creativity and 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 ❯
data science with a strong focus on practical AI applications. Deep understanding of generative AI, LLMs, NLP, and machine learning frameworks (e.g., TensorFlow, PyTorch, HuggingFace). Experience with cloud AI services (AWS, Azure, GCP) and AI model deployment. Proficiency in Python, APIs, and AI-driven automation tools. More ❯
ideas and concepts effectively. Ability to work independently and collaboratively. Preferred Skills: Experience building scalable applications with LLMs, using frameworks such as LangChain, LlamaIndex, HuggingFace, etc. Depth of knowledge with RAG implementation and improvements. 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 ❯
cloud-native deployment in a large-scale distributed environment. Knowledge of large language models (LLMs) and accompanying toolsets (e.g., Langchain, Vector databases, open-source HuggingFace Models). Knowledge in Reinforcement Learning or Meta Learning. Published research in areas of Machine Learning, Deep Learning, or Reinforcement Learning at 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 ❯
Academic background with a university degree in Computer Science, software engineering, Machine Learning, or a related field. Strong programming skills in Python (PyTorch, TensorFlow, HuggingFace, LangChain, FastAPI, Flask). Good understanding of ML model architecture and LLMs , including how they are trained, fine-tuned, and deployed on More ❯
VectorDBs. Expert programming skills in languages such as Python, Java, or C++, and working knowledge of deep learning frameworks such as TensorFlow, PyTorch, or Hugging Face. Understanding of generative models, such as Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), and Transformer models (e.g., GPT, BERT for text). Experience More ❯
Deep Neural Networks, Transformers, ResNets, VAEs, GANs, Markov chains, etc. Experience using specialized machine learning libraries eg. Fastai, Keras, Tensorflow, pytorch, sci-kit learn, huggingface, etc. Must demonstrate the capacity of reading, understanding and implementing new techniques in the field of machine learning as they emerge. Experience of using Cloud More ❯
models eg. XGBoost, Deep Neural Networks, Transformers, Markov chains, etc. Experience using specialized machine learning libraries e.g. Fastai, Keras, Tensorflow, pytorch, sci-kit learn, huggingface, etc. Must demonstrate the capacity of reading, understanding and implementing new techniques in the field of machine learning as they emerge. Experience of using Cloud More ❯
scale. Experience using Python and at least two libraries from the list: PySpark; Pandas/Dask; Numpy; Scikit-learn; Torch/Tensorflow/equivalent); Huggingface; Langchain. Experience owning, building and optimising data pipelines, CI/CD, and ETL processes. Strong analytic skills and successful history of manipulating, processing and extracting More ❯
cloud-native deployment in a large-scale distributed environment. Knowledge of large language models (LLMs) and accompanying toolsets (e.g., Langchain, Vector databases, open-source HuggingFace Models). Knowledge in Reinforcement Learning or Meta Learning. Published research in areas of Machine Learning, Deep Learning, or Reinforcement Learning at More ❯
