Point your AI agent at freehire and let it find you a job. A CLI and an MCP server over the whole job API — no browser.
You'll own how Luma's models get served — integrating new architectures into the inference engine, scaling deployments across thousands of machines, and keeping expensive GPU fleets busy while meeting internal…
Designs and governs the enterprise AI/ML architecture, selecting platforms and standards to deliver scalable, secure, and business-aligned AI solutions.
Paradigm is a software company transforming the way that the residential, construction & building product industries operate across the globe. We are looking for a Senior Applied ML Engineer to be part of…
THE ROLE. The next decade of film, episodic, and game production will be shaped by how well generative AI integrates into the pipelines artists already trust. Foundry's bet — backed by 30 years of building the…
Opportunity Get Well (GW RhythmX) is seeking a highly experienced and innovative Staff AI Engineer to lead the architecture, development, and optimization of cutting-edge AI solutions across the organization’s…
Creates cinematic, narrative-driven videos using AI-first pipelines, from scripting to final editing, for an AI companionship platform.
Develop and deploy machine learning models and data pipelines to support AI solutions in healthcare aesthetics, using Python, cloud platforms, and MLOps practices.
Lead a team to design, build, and deploy large-scale AI systems (LLMs, vector search, guardrails) for Capital One’s banking products using cloud platforms and open-source tools.
Lead the design, prototyping, and scaling of AI solutions (including LLMs and GenAI) for a healthcare insurer, collaborating with engineers and business leaders to drive AI initiatives from ideation to deployment under enterprise governance.
Lead a team building secure, scalable banking software while integrating generative AI/LLMs into engineering workflows and driving adoption of AI-assisted development tools.
Designs and deploys AI/ML systems to solve banking challenges, focusing on generative AI, agentic systems, and analytics while ensuring regulatory compliance and integrating solutions with existing infrastructure.
Build and maintain AI/ML models for banking use cases like fraud detection and document processing using Python, LLM frameworks, and cloud platforms in a regulated financial environment.
Senior Solutions Engineer at Cloudera helps enterprise customers adopt and scale hybrid data and AI platforms, designing solutions for big data, ML, and GenAI use cases while driving sales and renewals.
Oversee AI model development and deployment for banking use cases like fraud detection and document processing, collaborating with a Singapore-based team while ensuring compliance and data security.
Develops AI-driven automotive systems using Python, LLMs, and agentic workflows, deploying scalable services on cloud and Kubernetes for in-vehicle infotainment and safety features.
Analyzes data and builds AI-driven reporting solutions using Python, LLMs, and generative AI frameworks like OpenAI and Hugging Face.
Design and build autonomous AI agents for enterprise automation, integrating with systems like ERP and CRM to optimize supply chain and customer experiences using Python, LLMs, and cloud AI services.
Build and deploy AI-driven agentic systems and LLM-powered applications using Python, LangChain, and vector databases for automotive infotainment and connected ecosystems.
Leads AI quality engineering for Mastercard’s generative AI, LLM, and agentic systems, designing evaluation frameworks, red-teaming strategies, and LLMOps quality gates to ensure accuracy, safety, and reliability.
Senior AI Engineer at Mastercard designs and builds enterprise-scale generative AI systems, multi-agent orchestration, and multimodal pipelines using LLMs, RAG, and agentic frameworks to drive data-driven business insights.
We couldn't check your fit for this role — add a CV to your profile to see it next time.