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Location: Italy We Are: RTB House is a next-generation performance demand-side platform (DSP) that uses proprietary Deep Learning AI algorithms to help brands grow. The company is the market leader in driving…
Lead a team of data scientists building ML models for travel search ranking, pricing, and personalization using Python, PySpark, and large-scale infrastructure in Singapore.
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an AI/ML Engineer SME based in the United States. The AI/ML Engineer SME will serve as a…
Data Scientist ? Manchester Our Client an international organisation is looking to recruit a Data Scientist with 7 to 10 years expertise as a Data Scientist. You will have Natural Language Processing (NLP) knowledge…
Senior Data Scientist Job requirements Experience Range: 5 - 8 years of experience, including at least 5 years of hands-on work in data science, analytics, or related fields, with recent exposure to agentic AI…
AITAN builds a multi-drone control platform for safe operations, clear situational awareness, and real-time decision support in dynamic, high-risk environments. Our tech supports military teams with a safe, easy-to-use…
AITAN is building the operating platform for multi-drone warfare, a battle-proven system that augments, deploys, and orchestrates autonomous drone fleets across any mission, any environment, and any vendor. With over…
Solutions Architect at a cloud platform company, advising enterprise AI customers on deploying and scaling GPU workloads for ML training and inference using Nebius’s AI cloud services.
Build and optimize GPU infrastructure for AI workloads, profiling performance across hardware and frameworks to guide platform decisions and hardware development.
Senior Applied ML Engineer builds and deploys retrieval, ranking, and indexing models for an agent-native search platform used by AI systems to access real-time information at scale.
Senior ML Engineer at Nebius to conduct applied AI research on reinforcement learning, agentic systems, and model training, using JAX and Python in a cloud infrastructure company.
Senior ML Engineer at Nebius building and optimizing large-scale AI inference and fine-tuning platforms for foundation models using JAX and modern hardware.
Senior ML Engineer at Nebius builds and optimizes high-performance inference and fine-tuning platforms for large language models across tens of thousands of GPUs, focusing on throughput, latency, and cost-per-token.
Senior engineer builds and optimizes GPU clusters, InfiniBand networks, and KVM/QEMU virtualization for a cloud platform powering AI workloads.
Designs and advises on cloud infrastructure and MLOps solutions for AI/ML teams, leveraging GPU cloud platforms and modern frameworks to optimize training and inference workloads.
Principal Applied AI Researcher builds agent-native search systems for AI agents, designing retrieval and ranking architectures optimized for machine consumption at scale.
Build and train vision-language-action models and reinforcement-learning policies for real-world robots, using JAX and distributed training to prototype sim-to-real transfer and dexterous manipulation.
Designs and implements cloud infrastructure and MLOps solutions for AI teams, advising on GPU orchestration, Kubernetes, and IaC tools like Terraform.
The Principal Solutions Architect will lead technical presales and solution design for strategic customers in Japan, focusing on large-scale AI/ML infrastructure and GPU-accelerated cloud workloads. The role involves acting as a trusted advisor to executive stakeholders and collaborating with internal product and engineering teams to drive adoption of the Nebius AI cloud platform.
Votre équipe Vous rejoignez la Business Unit AI , une communauté d’environ 200 consultants IA & Data, qui accompagnent les organisations de bout en bout : Stratégie IA et feuille de route Identification et…
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