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.
Corning is hiring a Summer 2027 AI/ML intern in Wilmington, NC to work on optical fiber and cable manufacturing projects. The 10-week onsite role involves analyzing manufacturing, sensor, and machine-vision data and building AI/ML, statistical, and visualization solutions using tools like Python, SQL, and Power BI.
A junior AI/ML engineer supporting Corning's enterprise Generative AI platform, building and validating forecasting and predictive models, RAG workflows, and LLM experiments. Day-to-day involves Python, SQL, Databricks, and AWS SageMaker under senior guidance in agile teams.
Vestas is hiring an ML Engineer in Chennai, India to build and scale GenAI and agentic LLM capabilities within digital products on its Data & AI team. Day-to-day work spans RAG pipelines, prompt engineering, tool/function calling, and deploying LLM services via APIs and containerized microservices.
Lead AI/ML Engineer at Vestas (wind energy) who designs, delivers, and scales production ML, GenAI, and agentic AI solutions across the business value chain, including architecture and MLOps standards. Core stack is Python with TensorFlow/PyTorch, LangChain/LangGraph, Azure, Snowflake, Docker, and Kubernetes.
Senior AI/ML Engineer at GFT Technologies (IT consultancy for banking, insurance and industry) in Alcobendas, Spain. Day to day you build MCP connectors, REST APIs and integration services that let generative-AI agents talk to corporate systems, using Python, cloud microservices and LLM/GenAI concepts.
Schaeffler is hiring an experienced ML & AI Engineer in Brasov, Romania, to design, build, and operate production-grade, enterprise AI solutions with a focus on LLM applications, RAG, and agentic AI workflows. It is a hands-on player-coach role leading a small cross-functional team using Python, PyTorch, Transformers, and cloud-native practices.
An 18-month research associate post in the University of Sheffield's GATE team, conducting NLP and machine learning research on online disinformation across social media, and building an AI-powered chatbot for stakeholders. Core tech: deep learning/NLP frameworks (PyTorch, TensorFlow, Hugging Face), LLMs and prompt engineering.
GFT Technologies is hiring a senior ML/AI engineer (remote within Brazil) to design, build, and run agentic AI and production LLM systems — tool-calling agents, evaluation frameworks, RAG pipelines, and governance safeguards — on AWS (EKS, Lambda, SageMaker) with Terraform, coding in Python, Go, Java, or C++.
Machine Learning Engineer (Specialist) at Vestas in Copenhagen, building and scaling production-grade ML, GenAI and agentic AI systems embedded in digital products. Day to day spans feasibility assessment, training/inference pipelines, and deployment using Python, ML frameworks (Scikit-learn, PyTorch), GenAI frameworks (LangChain, LangGraph), Azure, Snowflake, Docker and Kubernetes.
Builds and runs McDonald's enterprise-scale AI/ML platform on Google Cloud Platform, using Vertex AI, Terraform-based infrastructure-as-code, CI/CD pipelines, and security/governance controls so data scientists and ML engineers can train and deploy models at scale. Onsite role at the new corporate office in Hyderabad, India.
A Cloud ML Engineer at Vodafone VOIS in Pune designs, builds, and productionizes machine learning systems and end-to-end ML pipelines on AWS (SageMaker, CloudFormation, CodePipeline, etc.), while automating model training, enhancing data pipelines, and evolving Big Data platform capabilities. Requires 5+ years in AI/ML engineering with strong Java and Python skills.
A principal-level planning role at AWS Infrastructure Services: the person owns end-to-end capacity planning for AI/ML servers across AWS's global data-center fleet, coordinating with senior leaders, supply chain, and software teams to land servers on time. Work spans short-, medium-, and long-term forecasting plus building mechanisms and feedback loops to improve planning.
A Machine Learning Engineer joins a top quantitative market maker in London, building the training/inference infrastructure, research workflows, APIs and tooling that let researchers and traders develop and deploy ML models at scale. Core stack includes PyTorch/JAX/TensorFlow with strong math foundations; trading experience is not needed.
Senior ML Engineer in San Diego developing and deploying production-grade machine learning models, managing MLOps/model lifecycle, and supporting platform operations on Azure cloud. Core stack is Python with PyTorch/TensorFlow; GenAI/LLM, RAG, and vector database skills are nice to have.
Senior engineer building Gemini/Vertex AI and RAG services in Python for Federal and DoD programs — from experiments and deployment packages to production monitoring — while supporting RMF/FedRAMP authorization and mentoring teammates. Active Secret clearance is required; hybrid or remote with ~10–25% customer-site travel.
Staff ML engineer in Bangalore building AI-driven applications, agents, and workflow orchestration for marketing and GTM use cases — integrating LLMs, APIs, and data pipelines into cloud-native, event-driven systems using Java/Kotlin/Python/Node.js, React, AWS/Azure/GCP, and Docker/Kubernetes.
Vestas is well-known in wind technology and actively contributes to its development. Vestas’ core business comprises the development, manufacture, sale, marketing, and maintenance of Wind Turbines. Come and join us at…
Wir bleiben anders. Du auch? Tchibo steht für Kaffee, Handel und den Mut, Bestehendes immer wieder neu zu denken. Bei Tchibo Coffee Service entwickeln wir maßgeschneiderte professionelle Kaffeelösungen – aus…
Future. Discover. Together. The Computer Vision & Graphics group of the Vision & Imaging Technologies (VIT) department is looking for a student assistant in the area of deep learning for scene analysis in the…
ABOUT CFM Founded in 1991, we are a global quantitative and systematic asset management firm applying a scientific approach to finance to develop alternative investment strategies that create value for our clients. We…
We couldn't check your fit for this role — add a CV to your profile to see it next time.
