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Design and deploy AI architectures for insurance pricing, integrating LLMs and agentic workflows to automate tariff analysis and simulations for Allianz’s Global P&C team.
ML Engineer evaluating and optimizing Foundation Models and generative AI systems for Apple Media Services, building evaluation frameworks and MLOps pipelines using Python, PyTorch, and LLM tooling.
Senior AI Engineer designing, building, and operating ML/AI systems for real-time space domain awareness, using Python, ML frameworks, SQL, and Databricks/Spark on large-scale sensor and orbital datasets.
Build and scale the infrastructure that runs data pipelines and AI/ML models in production, using AWS, Kubernetes, and MLOps tooling to ensure reliability and performance.
Build and deploy ML models for game features like matchmaking, economy balancing, and toxicity detection using Python, PyTorch, and cloud infrastructure.
Build and scale the distributed GPU training infrastructure and MLOps platform that powers Atoms’ autonomous transport models, using Kubernetes, Ray, and MLflow.
Build and scale distributed GPU training infrastructure for autonomous transport models using Kubernetes, MLOps tools, and high-throughput data pipelines.
About Goodie AI: Goodie helps leading brands win AI search. As billions of people use ChatGPT, Perplexity, Gemini, and other AI systems to discover products and make buying decisions, brands need a way to understand…
Leads the development and validation of deep learning models for genomic and molecular diagnostics, translating AI research into clinically validated tools for oncology and patient care.
TyrAds is seeking a Data Scientist to build, deploy, and monitor real-time machine learning models for their adtech platform. The role involves optimizing inference latency, conducting A/B tests, and managing data pipelines to improve personalization and fraud detection.
MaintainX is seeking a Senior Applied Machine Learning Engineer to lead the architecture and development of predictive maintenance and asset intelligence systems. The role involves building end-to-end ML pipelines, leveraging LLMs and IoT data to optimize industrial operations, and mentoring a team of developers.
The Chief Architect will lead a Databricks practice by designing enterprise data solutions, managing large-scale cloud migrations, and driving presales activities. This hands-on role requires deep expertise in Spark, Lakehouse architecture, and modern data engineering tools to mentor teams and deliver high-impact AI and data platforms.
Principal GenAI Consultant designs and deploys production-ready generative AI solutions on Databricks for enterprise clients, leading full lifecycle projects from architecture to deployment.
Devoteam is seeking a Senior Data Engineer to design and industrialize data pipelines using Snowflake, Airflow, and Spark. The role involves collaborating with clients to implement data platforms and supporting business use cases.
Cortea is seeking an AI Engineer to build evaluation and observability infrastructure for their production-grade LLM audit agents. The role involves designing data pipelines, managing LLM quality metrics, and working with backend systems in a collaborative, office-based environment in Berlin.
Overview The Senior Engineer is responsible for designing, building, and maintaining the Machine Learning and AI platform. The role focuses on developing shared tools, services, and engineering patterns that enable…
Hi there! If you’re looking for a high-impact position in an ambitious software house, we’ve got a match for you! Currently, we are searching for a full-time DevSecOps Engineer to cooperate with our US client - the…
В Стратосфере мы занимаемся разработкой программного обеспечения для банков, ритейла и телекома, сотрудничаем с Яндекс, МТС, ВКонтакте, Ингосстрах, Купер и др. Мы дадим тебе возможность поработать на социально-значимых…
Builds and deploys AI/ML features (LLM-powered review categorization, summarization, and semantic search) for an app review management platform, optimizing for quality, latency, and cost.
Lead Data Scientist driving ML solutions for clients, managing end-to-end engagements and mentoring teams. Involves deploying models with Python, cloud platforms, and MLOps tools.
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