4 data warehouse jobs found

Your mission Role Summary We are looking for a Senior Backend Engineer /   Tech Lead   who can operate as a senior individual contributor while also setting technical direction, establishing engineering standards, and mentoring the team as we grow. This role is ideal for someone who has already worked as a senior/staff-level engineer or informal tech lead, and wants to take on more architectural ownership and long-term influence in a fast-moving AI-centric environment. You will partner closely with the CPTO and collaborate with backend, AI, and product teams to deliver high-impact systems. Architecture & System Ownership Design and own core backend architecture across multiple services Build and scale distributed, event-driven systems Establish patterns for reliability, performance, and observability Own major technical decisions and ensure long-term maintainability AI-Enabled Systems Architect...

Your tasks You develop professional AI solutions based on Python, LangChain, FastAPI, OpenAI APIs, RAG pipelines and vector databases. You will transform existing MVPs and prototypes from n8n, make, or similar automation tools into scalable, robust solutions. You will build and further develop microservices, tools, and AI integrations for our client projects. You will work on the conception and technical implementation of AI strategies and use case analyses. You will accompany workshops, design sprints and project implementations at the client's site. You follow the latest developments in LLMs, agents, and multimodal AI and bring this knowledge to our projects. Your profile You have a completed degree in computer science, data science, artificial intelligence, software engineering or a comparable degree with initial experience in consulting. You have very good knowledge of Python and ideally experience with AI frameworks such as LangChain,...

Mercor is seeking data scientists to support one of the world’s leading AI labs in building robust, high‑performance systems for next‑generation machine learning applications. In this role, you will focus on hands‑on data science tasks, such as designing experiments, gathering and preprocessing data, building and evaluating models, and collaborating closely with engineering teams to deploy production‑ready solutions. Ideal candidates should be proficient in Python (Jupyter Notebooks), familiar with machine learning frameworks like TensorFlow or PyTorch, and experienced in analyzing large datasets and building predictive models. In addition, you will write, review, and validate prompt‑based questions used to train AI systems. You are a good fit if you: Have over 3+ years of professional experience in data science or applied analytics. Are  highly skilled in Python and Jupyter notebooks. Have experience using libraries including...