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 AI agents and multi-agent workflows to automate clinical data programming and regulatory submissions, using Python/R, LangGraph, and advanced RAG in a GxP-regulated healthcare environment.
Develops and implements C++ algorithms for industrial image processing and pattern recognition, optimizing ML models and integrating camera systems into software architectures for industrial clients.
Designs and implements AI/ML compiler tools for embedded processors, optimizing models for hardware using C++ and LLVM to deliver high-performance inference across semiconductor platforms.
The Senior AI and Machine Learning Engineer will design, develop, and deploy scalable AI/ML models and agentic architectures while mentoring junior team members. The role involves collaborating with cross-functional teams to integrate advanced machine learning solutions into production environments using frameworks like PyTorch, TensorFlow, and LangGraph.
You maintain and extend an existing embedded software codebase for camera and assist systems in vehicles/machinery, focusing on vision/AI functions for edge hardware. Core tech: C/C++, embedded Linux, OpenCV, ONNX/TensorFlow.
Senior AI/ML engineer at HPE responsible for designing, developing, and deploying machine learning and agentic AI solutions using Python, TensorFlow/PyTorch, and frameworks like langGraph within the HPE Operations IT services team.
The Senior Operations AI Engineer will design and deploy autonomous AI systems and agentic workflows to optimize supply chain and logistics operations. The role involves hands-on development using Python, ML frameworks, and GenAI tools while providing technical leadership to the team.
Senior Data Scientist building ML models for Marketing, Commercial, and Digital use cases, managing the full model lifecycle from data preparation through deployment, with Python, R, SQL, and time series forecasting expertise.
The Senior Machine Learning and Artificial Intelligence Scientist will lead the development and production deployment of advanced AI and ML solutions, including generative AI and multi-agent systems, to drive business impact. The role involves working across cloud-native architectures like Azure, Databricks, AWS, and GCP to build scalable, reliable, and governed AI products.
The Machine Learning Engineer will research and implement ML algorithms, focusing on NLP, computer vision, and GenAI to build healthcare SaaS solutions. They will collaborate with researchers and engineers to integrate models into production environments.
This role involves developing and maintaining production Android applications that integrate AI-driven features like conversational assistants and computer vision. The engineer will work with Kotlin, Coroutines, and various AI APIs to optimize performance and user experience for an AI-focused fintech product.
The AI/ML Specialist will design and deploy scalable AI solutions, including Generative AI and NLP, within a banking environment. The role involves the full lifecycle of AI development, from data analysis and modeling to cloud deployment and CI/CD integration.
The Research Engineer will develop Green AI technologies, focusing on model optimization, efficient inference, and large language models to improve the sustainability of AI systems. This role involves conducting experiments, benchmarking algorithms, and collaborating with cross-functional teams to translate research into practical applications.
ML Engineer contract deploying production ML models and building scalable MLOps pipelines for a retail business, using Python, ML frameworks, cloud platforms, Docker, and Kubernetes.
Senior Data Scientist collaborating with R&D scientists at Qnity Electronics in Cleveland, applying statistical modeling, machine learning, deep learning, computer vision, and generative AI/LLMs to solve scientific and engineering problems in the semiconductor and advanced electronics space.
Builds and validates AI models for industrial manufacturers, transforming raw plant data (time-series, sensors, downtime) into actionable insights for clients and platform integration.
Build and standardize ML Ops services, data pipelines, and automation in Python and Java on AWS/Databricks to support model deployment, monitoring, and AI/ML lifecycle governance at a financial services firm.
Deploys and optimizes AI models on edge devices for medical devices, ensuring performance, safety, and compliance with regulatory standards. Works with TensorRT, OpenVINO, and TensorFlow Lite to integrate AI pipelines into hardware platforms while collaborating with cross-functional teams.
Build and deploy ML/AI models for logistics optimization, fleet analytics, and real-time decision systems using Python, Google Cloud, Kafka, and LLMs.
Role Overview We are seeking a Lead Forward Deployed AI Engineer to architect and deliver enterprise-scale AI transformation programs. This role combines deep technical expertise with solution architecture, delivery…
We couldn't check your fit for this role — add a CV to your profile to see it next time.