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Descripción del trabajo En Keepler (part of Accenture) queremos hacer crecer nuestro equipo con personas que tengan ganas de desarrollar software basado en datos con dos objetivos: ayudar en la transformación a…
Build and fine-tune large language models for healthcare, creating conversational AI that automates claims and improves patient experiences using Python, PyTorch, and cloud ML platforms.
Leads Zynga's centralized data platform strategy and manages a global team of ~60, focusing on cloud-native data stacks, AI/ML adoption, and data governance for the gaming industry.
Info on the Senior Fullstack Engineer .NET / React role Ready to take the next step in your international career? We can support you! Ubiminds is a GPTW-certified, people-first company that partners with American…
Senior Product Manager for W&B Models (Weights & Biases experiment tracking) at CoreWeave, owning the roadmap for experiment workflows, training visualization/monitoring, evals integration, and large-scale analysis for AI/ML researchers.
Who We Are Building the AI-first frontier enterprise. We are a global technology consultancy with a trademarked, AI-first approach —Gen-e2™. It redefines how enterprises build digital products and transform their…
SustainRecruit are currently looking for a number of Data Engineers to work on a project based in London. This requirement will be a contract opportunity starting at 6 months + likely extensions and we require someone…
Builds and maintains CarGurus’ cloud-hosted ML platform, deploying Python models to production APIs, enhancing data pipelines, and integrating AI systems (recommendations, search ranking, computer vision) into automotive marketplace products.
Who we are At CarGurus (NASDAQ: CARG), our mission is to give people the power to reach their destination. We started as a small team of developers determined to bring trust and transparency to car shopping. Since…
About the role You own 1 or 2 strategic partner accounts and you are accountable for what comes out of them from implementation planning through on-going operations, ensuring they are getting the most value from the…
Welcome to the future of cloud networking and security! Cato Networks is the first company to converge enterprise networking and security into one centralized and global service that is delivered by cloud. It is led by…
Who we are At Domino, we build software that helps the largest, AI-driven organizations build and operate advanced data science and AI solutions at scale. Our platform integrates a streamlined model development…
Who we are: Tria Federal delivers digital services and technology solutions that support the health and safety of veterans, service members and civilians. For two decades, federal agencies have relied on Tria companies…
Build and scale a machine-learning platform that trains, deploys, and governs models for Faire’s wholesale marketplace using Databricks, Spark, MLflow, and AWS.
The Staff Machine Learning Engineer will design, deploy, and maintain production-grade ML systems to optimize revenue management and pricing strategies for the hospitality industry. The role focuses on MLOps, building scalable data pipelines, and ensuring the reliability of AI-driven features using technologies like Python, AWS, and Apache Airflow.
Lead a team to build and deploy AI/ML models that automate insurance operations and personalize customer/agent experiences, using deep learning, NLP, LLMs, and GenAI.
Sobre a área: Você fará parte do time de Artificial Intelligence & Data Science do BTG Pactual, atuando em uma frente estratégica de ciência de dados com alta proximidade com o negócio. Essa posição terá papel…
Lead AI/ML initiatives at a software supply chain security company, building models for malicious behavior and anomaly detection as well as GenAI experiences using LLMs, RAG, and agentic systems, primarily with Python, Databricks, and LLM APIs.
The Data Scientist will develop and manage machine learning models for wholesale power and gas market applications, including price forecasting and trading algorithms. The role involves the full ML lifecycle, leveraging deep learning and cloud technologies to support the Commodities team in the ERCOT and PJM markets.
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