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.
Build and deploy ML models to recover underpayments for hospitals, improving revenue and efficiency using Python, scikit-learn, and cloud MLOps.
Design AI-ready data representations for biological imaging, guiding how frontier models learn from raw images and other modalities to accelerate disease research.
The Staff Machine Learning Engineer will lead the development of Edge AI models for in-vehicle health monitoring and failure prediction. The role involves owning the end-to-end ML pipeline, including model training, optimization for resource-constrained devices, and deployment using technologies like PyTorch, TensorFlow, and C++.
The Senior Staff Machine Learning Engineer will lead the development and deployment of Edge AI models for in-vehicle health monitoring and failure prediction. This role involves managing the end-to-end ML pipeline, including model training, optimization for resource-constrained devices, and integration with vehicle systems.
Python developer building and deploying GenAI/LLM applications with a focus on RAG pipelines, prompt engineering, and MLOps in production using Python, LangChain, vector databases, and Kubernetes.
Builds and maintains Python-based generative AI applications and RESTful APIs for a large financial services firm, integrating cloud and container technologies.
Senior ML Engineer at Bloomreach building AI-driven personalization systems (search, shopping, marketing) using GenAI, LLMs, and predictive models to tailor customer experiences across industries like retail and financial services.
The Data Center Manager (DCM) is responsible for the overall management, operation, maintenance, and budgeting of the Technical Assistance Center (TAC), as well as the electrical, mechanical, and HVAC systems within…
Join Our Talented Team at Protagonist We fuse rigorous, methodologically sound analysis with our cutting-edge technology platform, Narrative Analytics®. This powerful combination enables us to quantitatively analyze…
The Senior Machine Learning Engineer will design, build, and operate production-ready NLP and LLM pipelines using AWS, Kubernetes, and Python. The role involves owning the full ML lifecycle, including RAG development and model fine-tuning, to deliver narrative analytics for mission-critical client projects.
Designs high-voltage power supplies and DC-DC converters, leading analog and digital control circuits from concept through production for industrial, medical, and commercial markets.
Senior Electrical Design Engineer designs high-voltage power supplies and DC-DC converters for industrial, medical, and commercial markets, leading analog/power electronics from concept to production.
Leads end-to-end MEP design for large-scale HPC/AI data centers, focusing on high-density liquid cooling and power systems for NVIDIA architectures.
Lead end-to-end delivery of AI data-center projects, coordinating engineering, construction, and partners to deploy modular liquid-cooled infrastructure on time and within budget.
Develops and supports power electronics for electric-vehicle powertrains, including converters, inverters, and related systems, while collaborating with global teams and customers to resolve issues and ensure compliance.
Lead AI and algorithm projects for defence and security clients, building intelligent systems like sensor processing and edge AI while mentoring junior engineers.
Campus AI/ML Researcher applying machine learning to quantitative trading research and predictive model development at a proprietary trading firm, using Python/C++ and frameworks like PyTorch, TensorFlow, or JAX.
Architect, deploy, and scale manufacturing intelligence systems at Sandisk, owning end-to-end RPA and computer vision/ML pipelines on the factory floor. Core tech: Python, C#, deep learning (YOLO, transformers, CNNs), OpenCV, and SQL.
Develops AI-driven quantitative investment strategies by generating alpha signals, refining data pipelines, and implementing deep learning/reinforcement learning models for financial markets. Focuses on NLP, LLMs, and ML-based trading/portfolio optimization.
This role involves designing, training, and deploying machine learning models into production at scale for recommendation, personalization, and forecasting systems. You will own the end-to-end model lifecycle, working with technologies like PyTorch, TensorFlow, Kubernetes, and various cloud platforms to serve millions of users.
We couldn't check your fit for this role — add a CV to your profile to see it next time.