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Senior AI & Data Scientist builds, deploys, and evaluates ML models end-to-end, from forecasting to LLM fine-tuning, while mentoring junior team members and translating technical results for clients.
Senior AI & Data Scientist who designs, builds, and deploys end-to-end ML models (forecasting, classification, LLM fine-tuning) for enterprise clients, bridging business needs with technical execution.
About the job Artefact is a next-generation data and AI consulting firm dedicated to accelerating the adoption of data and AI to create measurable business impact across the full enterprise value chain.We sit at the…
This role involves performing adversarial testing and red teaming on foundation models and AI systems to identify and remediate security vulnerabilities. The engineer will design and train ML models and SLMs while collaborating with client teams to ensure robust security across model, application, and data pipelines.
Salary: £40,000 - 55,000 per year Requirements: Experience in architecting and solutioning in Gen AI, Agentic AI, classic ML, and automation space. Good understanding of Prompt engineering, RAG pipelines,…
Why Cast AI? Cast AI is an automation platform that operates cloud-native and AI infrastructure at scale. By embedding autonomous decision-making directly into Kubernetes and cloud environments, Cast AI continuously…
Develops low-level software for custom AI accelerators, bridging hardware and systems to optimize real-time performance and hardware-software interfaces.
Build end-to-end features across frontend, backend, and AI/LLM components for internal tools, automation, and data-driven products at the world’s largest crypto exchange.
A career that’s the whole package! At Conga, we’ve built a community where our colleagues can thrive. Here you’ll find opportunities to innovate and support growth through individual and team development, all within an…
This role is for a full-stack developer to build and maintain web applications while integrating AI and Generative AI capabilities. The developer will use AI-assisted coding tools daily to accelerate development and deliver enterprise-grade AI solutions.
Senior AI Engineer building production-grade LLM and agentic AI systems—MCP servers, tool calling, intent routing—integrating Anthropic/OpenAI APIs with Python and SQL in a remote, collaborative team.
Designs and leads AI/ML solutions for an energy client using Microsoft AI Foundry, Azure AI, and Databricks, translating business needs into scalable, secure architectures and guiding implementation from data to deployment.
Please note this posting is to advertise potential job opportunities. This exact role may not be open today but could open in the near future. When you apply, a Cisco representative may contact you directly if a…
Leads AI platform engineering for Capital One’s distributed Gen AI systems, designing scalable LLM inference, guardrails, and vector search infrastructure to power real-time banking applications.
Develops AI-powered backend services in Java/Spring Boot, integrating LLMs and MLOps pipelines for Airbus’ space system data management tools.
Build and maintain cloud-native AI infrastructure on AWS and Azure, deploying and operating AI services, Kubernetes workloads, and MLOps tooling in a regulated banking environment.
Develops AI/ML solutions for government clients, focusing on LLM-driven systems, full-stack engineering, and DevSecOps pipelines to modernize digital engineering capabilities.
Develops and deploys advanced Generative AI solutions (LLMs, multimodal models) for healthcare operations, focusing on prompt engineering, model optimization, and ethical AI practices.
The AI Engineer will design, develop, and deploy Generative AI solutions, including chatbots, copilots, and RAG-based applications using Azure, Python, and various AI frameworks. The role involves integrating AI services into enterprise applications and maintaining MLOps workflows.
Cloud and AI Security Engineer at Axos Bank in Manila, building security frameworks for AI/ML platforms, LLM applications, and multi-cloud infrastructure (AWS, Azure, GCP), focusing on AI-specific threat mitigation like prompt injection, adversarial attacks, and RAG security.
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