skills: Significant experience working as a Data Scientist/Machine Learning Engineer Solid knowledge of SQLandPython's ecosystem for data analysis (Jupyter, Pandas, ScikitLearn, Matplotlib). GCP experience is desirable (developing GCP machine learning services) Solid understanding of computer science fundamentals, including data structures, algorithms, data modelling more »
frameworks, preferably with the MLOps context. Unit Testing, Integration Testing, E2E Testing, ETL/ELT Experience or at least knowledge of the following: SciKit-Learn, TensorFlow, Torch, ChatGPT, Llama, LangChain (or equivalent), RAG, Model Security, Jupyter Notebook/JupyterLab Any experience of SQL, NoSQL, Vector DB, Graph DB more »
software development principles and methodologies. Experience with databases (SQL and NoSQL), data modelling, and data structures. Familiarity with machine learning frameworks (eg, TensorFlow, scikit-learn) is a plus. Strong communication and leadership abilities. Proven experience working on Front Office projects and collaborating with Front Office teams. Experience in more »
Senior level Data Scientist Solid knowledge of Data Engineering principles, including productionisation Technical experience with some or all of the following: Python, PySpark, scikit-learn, pandas, Azure Data Services, Databricks. If this sounds of interest, please apply. more »
associated security considerations. Previous experience with ML, LLM, deep learning and data manipulation techniques, libraries, and frameworks such as TensorFlow, PyTorch, Jax, and scikit-learn is desirable. Experience in implementing secure coding practices, DevOps, CI/CD pipelines and familiarity with secure software development life cycle (SDLC) methodologies. more »
