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Build and optimize SQL-based data pipelines, ETL workflows, and reporting models using PostgreSQL, BigQuery, and Tableau to deliver actionable business insights for an agribusiness leader.
Designs and maintains an OpenStack-based private cloud and Kubernetes environments for AI/HPC workloads, focusing on GPU-driven distributed storage and high-performance infrastructure in Turin.
Design and operate a private cloud and storage infrastructure for AI/HPC workloads using OpenStack, Kubernetes, and distributed storage to support GPU-intensive AI training and inference.
Build and deploy optimized large language models for autonomous vehicles, focusing on quantization (PTQ/QAT), inference pipelines, and performance benchmarking on XPENG’s Turing AI chip.
Build and deploy quantized large language models for autonomous-vehicle inference, focusing on PTQ/QAT, mixed-precision, and runtime integration with PyTorch and TensorRT-LLM.
Build and maintain a fintech data platform using Redshift, Airflow, and dbt, modernizing pipelines and enabling analytics and ML for wealth management.
AI Engineer (Banking Transformation) AI & Data | Financial Services | Technology & Transformation London (Hybrid) £80,000-£93,000 + Benefits A leading professional services organisation is seeking a Senior…
Build and scale an internal AI development platform using Kubernetes, REST APIs, and GenAI tools to deploy and manage AI solutions for the firm.
Analyze product usage and AI model performance to shape HRIS features, build semantic layers for AI agents, and drive adoption and retention in a B2B SaaS platform.
HiBob helps modern, mid-size businesses transform the way they manage people, giving HR and managers all they need to connect, engage, develop, and retain top talent. Since 2015, we’ve achieved consecutive triple-digit…
Job Description: Design and implement high-performance, highly stable platform services Support data calculation needs for intelligent risk decision. Delivering high-quality and efficient data computing products…
Build and maintain a fintech data platform using Redshift, Airflow, and dbt, ingesting and transforming raw data into scalable analytics and supporting ML implementations.
Lead end-to-end data and AI engineering for production-grade GenAI/ML solutions, from data architecture and MLOps to LLMs, RAG, and prompt engineering, in a global consultancy.
Build and improve AI agents that automate cybersecurity workflows like SOC alert triage, threat hunting, and penetration testing using Python, LLMs, and distributed systems.
Build and fine-tune NLP/LLM models for client projects, crafting pipelines and deploying production-ready AI features using PyTorch, LangChain, and vector databases.
Build and optimize generative AI models using PyTorch, Hugging Face, and LangChain, then ship applications that leverage LLMs to support business decisions.
Build and deploy ML/AI models (classical, deep learning, LLMs) with MLOps/LLMOps pipelines, focusing on production-grade solutions and API integration for enterprise use.
Design and lead enterprise-scale AI/ML architectures, including Generative AI and Agentic AI systems, ensuring scalability, security, and MLOps/LLMOps best practices.
Lead AI/ML teams to build, deploy, and govern production-grade generative and agentic AI systems using LLMs, RAG, and orchestration tools.
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