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Senior Software Engineer builds and scales a cloud-native data platform with AI tools for Omada Health, focusing on data pipelines, governance, and Generative AI integrations.
Senior Software Engineer builds geospatial and AI-driven software in Python/C++/JS, collaborating with cross-functional teams to process large datasets and deploy models on cloud platforms.
The Product Owner leads the development of a central Data Management Platform at Greenchoice, focusing on ETL, MLflow, and generative AI. They shape the platform’s roadmap, align business teams, and ensure data-driven adoption across the organization.
Design and ship production ML/AI systems—LLM assistants, chatbots, recommenders, spam detection, and search—at TradingView's Limassol office, using Python/Go with Docker, Kubernetes, and MLOps infrastructure.
The Senior Software Engineer will build and maintain a scalable machine learning platform at Wise, focusing on infrastructure for model serving, training pipelines, and experiment tracking. The role requires strong backend engineering experience in Java or Python and cloud infrastructure expertise to support data scientists in deploying models at scale.
Designs and oversees scalable, secure data platforms and AI/ML pipelines for government/mission environments using Databricks and Palantir Foundry, ensuring governance, performance, and production readiness.
The Lead Data Scientist will architect and develop AI models for digital dentistry, focusing on 3D computer vision, generative AI, and anatomical reconstruction. This hands-on leadership role involves transitioning R&D into production-ready systems and defining the technical roadmap for the company's AI platform.
Designs and builds scalable Databricks-based Lakehouse solutions, migrating legacy systems and optimizing Spark pipelines for analytics and AI/ML workloads.
Designs and deploys secure, AI-enabled data pipelines and ML services for defense missions, using Python, Spark, and cloud-native tools to transform raw data into actionable insights.
The MLOps Engineer will design, deploy, and maintain scalable machine learning pipelines and infrastructure to support connected mobility products. The role involves collaborating with cross-functional teams to automate model lifecycles and ensure production reliability using cloud platforms and DevOps best practices.
The MLOps Engineer will design, deploy, and maintain scalable machine learning pipelines and infrastructure to support connected mobility products. The role involves collaborating with cross-functional teams to automate model lifecycles, monitor performance, and implement CI/CD best practices using cloud platforms.
Build and own data products that drive revenue growth for a global travel activities platform, using Python, Databricks, and machine learning to optimize marketing spend and customer lifetime value.
АО «ВИМ Инвестиции» — признанный лидер на российском рынке управления инвестиционными фондами. Мы создаем передовые финансовые продукты, помогая крупным частным клиентам и корпорациям эффективно управлять капиталом и…
Designs and maintains a scalable Databricks-based data platform for analytics, AI, and ML, leading a small team and setting technical standards for enterprise data architecture.
Develops and operates production-grade multi-agent systems and autonomous workflows, focusing on RAG architectures, knowledge graphs, and hybrid retrieval strategies for AI-driven document processing and LLM optimization.
The MLOps Engineer Senior will industrialize, deploy, and scale machine learning models into production environments using tools like MLflow, Docker, Kubernetes, and Databricks. This remote role involves building CI/CD pipelines and collaborating with data teams to ensure reliable, production-grade ML systems.
Вам предстоит заниматься: Вывод ML/LLM-моделей в промышленную эксплуатацию: упаковка, деплой и сопровождение инференс-движков (vLLM, Triton Inference Server, BentoML) на Kubernetes (CPU/GPU); развитие и поддержка…
The Machine Learning Engineer will build and maintain data pipelines on Databricks and productionize traditional machine learning models like propensity and segmentation. The role requires a hybrid presence in Oak Brook, IL, and focuses on MLOps, data quality, and model deployment.
Мы строим систему управления операционными рисками экосистемы Сбера на основе агентного ИИ. Если тебе тесно в роли просто сильного разработчика, а хочется вести за собой команду единомышленников, реализуя проекты…
Role: GenAI Lead Engineer Experience: 8+ years total (with significant hands-on GenAI / LLM work) Job Overview: We are seeking an innovative and highly skilled Lead Generative AI (GenAI) Engineer to spearhead the…
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