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Build AI/ML models and graph analytics for telecom networks to enable autonomous operations, using Python, BigQuery, and KPI engineering.
Senior Data Scientist builds NLP and GenAI models to analyze customer journeys, using Python, PySpark, and Azure to deploy solutions that drive actionable insights.
Lead AI Engineer designs, builds, and deploys enterprise-scale AI/ML and Generative AI systems, including RAG pipelines and agentic workflows, across Azure, GCP, or AWS.
Design and deploy AI-powered applications, including LLM-based agents and workflows, to transform enterprise processes while ensuring scalability, security, and governance.
Surf AI is the agentic operations platform for enterprise security teams. We don't just surface risk, we close it. Our platform connects context across identity, cloud, HR, IT, and SaaS systems, and uses…
Build and scale ML-powered recommendation and personalization systems for a cannabis retail platform, designing ranking, retrieval, and forecasting models to improve eCommerce experiences.
Build and maintain full-stack apps with Node.js/TypeScript backend (Nest.js) and React frontend, writing tests, reviewing code, and collaborating with product teams.
Builds and deploys AI-powered backend services using LLMs, RAG, and vector search; writes Python microservices and data pipelines for production GenAI apps.
Senior AI Engineer building GenAI applications with LLMs, RAG, agents, and semantic search in Python, integrating models via APIs and deploying backend services.
Build Python backend services and AI automation workflows for an accounting client, using FastAPI/Flask, LLMs, and data-processing tools to integrate AI into daily operations.
Build and maintain cloud-native data pipelines and vector search infrastructure on AWS, Terraform, and Pinecone to power AI-driven products with multi-tenant architectures.
Builds end-to-end data pipelines in Snowflake and AWS, transforming raw data into AI-ready features for an internal AI platform used across marketing and analytics workflows.
Build and optimize high-performance backends in Node.js, integrate APIs and distributed systems, and occasionally contribute to React frontends using PostgreSQL, MySQL, MongoDB, and Weaviate.
Build and maintain cloud data pipelines, ETL/ELT workflows, and ML model services using Python, SQL, AWS, Airflow, and dbt to power analytics and AI features for a logistics company.
Build and ship production-grade AI-powered applications end-to-end, integrating LLM agents, RAG pipelines, and full-stack services to deliver real business impact.
About * Who we are Video is 90% of the world's data. Most of it is invisible to machines. TwelveLabs builds the intelligence layer to change that. Our multimodal AI models understand video the way humans do —…
Build and optimize the production serving stack for Jockey Core, TwelveLabs’ reasoning LLM that powers agentic video understanding across millions of hours of content.
Build and industrialize AI/ML pipelines for Crédit Agricole, turning experiments into secure, scalable production systems using MLOps, LLMOps, and data engineering.
Build and optimize GCP-based data pipelines and vector databases to power AI models like LLMs and RAG systems for Doctolib’s AI Medical Companion, supporting healthcare professionals across Europe.
Builds and maintains the backend services and AI pipelines for an enterprise-grade conversational AI agent using Python, FastAPI/Flask, LangChain, and Google Gemini Enterprise on GCP.
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