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ПриватБанк — є найбільшим банком України та одним з найбільш інноваційних банків світу. Займає лідируючі позиції за всіма фінансовими показниками в галузі та складає близько чверті всієї банківської системи країни. Ми…
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…
Orion Innovation is a premier, award-winning, global business and technology services firm. Orion delivers game-changing business transformation and product development rooted in digital strategy, experience design,…
Develop and optimize generative AI and machine learning models for clients across industries, using modern AI frameworks and cloud platforms.
Senior Insight Analyst building analytics pipelines, dashboards, and data-driven solutions using SQL, Databricks/Spark, Python, and Tableau or Power BI for a UK SaaS integration and analytics platform.
Designs and sells high-performance GPU and HPC cloud solutions for AI workloads, translating customer needs into feasible architectures while collaborating with engineering teams.
The Senior Data Scientist will develop, deploy, and industrialize machine learning solutions for the biotechnology and life sciences sector. The role involves end-to-end ML lifecycle management, including data governance and model validation, using Python, R, SQL, and cloud platforms.
Develops AI/ML pipelines for verifying scientific/clinical claims by retrieving evidence, decomposing claims, and detecting contradictions; ensures traceable, abstention-based decisions for high-stakes biotech/healthcare content.
The Software Engineer will join the AI Libraries team to build and maintain the platforms, libraries, and tools that enable ML engineers to train and scale autonomous driving models. The role focuses on creating stable, scalable infrastructure using Python and cloud technologies to support large-scale machine learning development.
Senior Data Scientist building and deploying production ML models and GenAI agentic workflows for Grab's financial services lending products in Singapore, using Python, Spark, and frameworks like LangGraph.
About the Role VESSL AI는 AI 기업을 위한 GPU 인프라를 제공하는 GPU Cloud 기업입니다. 폭발적으로 커지는 AI 컴퓨팅 수요 속에서, GPUaaS(GPU-as-a-Service)를 통해 AI 기업들이 필요한 순간에 필요한 만큼의 GPU 컴퓨팅 파워를 안정적으로 확보하도록 지원합니다. 국내 Upstage, SqueezeBits, Holiday Robotics는…
Data scientist in Sberbank’s retail risk team validates ML models (tabular and NLP) to prevent financial and reputational losses, automates validation and monitoring, and aligns models with business goals using Python, PySpark, and agent-based tools.
Мы развиваем направление робототехнических шоу и создаем сценические постановки с участием роботов. В рамках этой задачи мы ищем Motion Control Engineer, который будет отвечать за адаптацию, настройку и развитие…
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…
Position Summary Join our AI team as an Intermediate AI Engineer, where you'll build and deploy AI applications, agents, and automation solutions that solve real business problems. You'll work closely with…
Leads AI/Data Science solutions in a CoE, designing multi-agent systems, RAG, prompting, and tooling for scalable GenAI applications with Python/Java/Kafka.
Build, deploy, and operate AI/ML solutions across a multi-cloud government environment (AWS, Azure, GCP, OCI), including ML pipelines, model serving, data engineering workflows, and production monitoring for a national security contractor.
The Machine Learning / Federated-Learning Engineer will design and implement distributed model training and adaptation workflows for federal government projects. The role involves building ML pipelines, fine-tuning models, and integrating AI solutions within secure, controlled environments using Python and frameworks like PyTorch or TensorFlow.
Build cloud-native data platforms, LIMS/ELN integrations, and agentic AI/LLM pipelines to enable AI-driven drug discovery at a Series A biotech startup in NYC.
Designs and deploys AI/ML solutions on Azure, integrating with business systems like Dynamics 365 and Power BI; focuses on architecture, MLOps, and cross-team collaboration to enhance client advisory services.
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