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.
ML Engineer designing, deploying, and maintaining production ML systems for healthcare, transport, and HR products using Python, PyTorch, scikit-learn, and MLOps tools like MLflow in a hybrid Quebec office.
Build and deploy enterprise-grade Agentic AI systems, LLMs, and Generative AI solutions for autonomous workflows in investment banking and global markets.
La Fundación para el Desarrollo y la Innovación Tecnológica ( Funditec ) es un centro de investigación aplicada sin ánimo de lucro que promueve la innovación tecnológica como motor de competitividad y sostenibilidad.…
Builds AI-powered full-stack applications by integrating ML models into scalable cloud-based systems, bridging frontend, backend, and DevOps workflows.
Designs and scales AI-native systems (LLMs, agentic workflows) as a senior architect, defining architecture standards and leading technical delivery for healthcare clients.
Design, build, and run scalable machine-learning platforms and production services for OTT content recommendations and personalization at Coupang Play, handling end-to-end ML lifecycle in high-traffic environments.
Designs and builds AI-powered systems and infrastructure for Apple’s supply chain innovation, focusing on labor rights and carbon neutrality goals. Leads agentic systems, ML services, and production pipelines while collaborating with cross-functional teams.
Design and deploy AI models that process high-frequency sensor data from IoT devices to enable real-time automation in physical infrastructure systems.
Lead the architecture and development of RAG systems combining LLMs with industrial knowledge sources to build troubleshooting assistants, using Python, PyTorch, Hugging Face, LangChain, and vector databases.
The Senior AI/ML Engineer will work within an MLOps team to deploy, monitor, and optimize machine learning models in production environments. The role involves building CI/CD pipelines and collaborating with data scientists using cloud platforms like AWS, GCP, or Azure.
Senior AI/ML Engineer on an MLOps team, deploying and monitoring machine learning models in production on cloud platforms using Python, CI/CD pipelines, and ML frameworks like TensorFlow and PyTorch.
Lead a team to design, build, and deploy AI/ML systems including LLMs, RAG, and agentic workflows, setting engineering standards and ensuring production-grade reliability and governance.
The Lead Machine Learning Engineer will build and maintain distributed training pipelines, model monitoring systems, and ML frameworks to support digital banking services. The role focuses on scaling machine learning workflows using technologies like Python, PyTorch, TensorFlow, Ray, and Spark.
Lead Software Engineer on JPMorgan Chase's AIML Data Platforms team, designing and operating cloud-native infrastructure (AWS, Kubernetes, Terraform) that enables data scientists and ML engineers to train and deploy models at scale.
Leads a GenAI team to develop fraud detection models and AI-driven solutions, blending technical expertise in Python, LLMs, and MLOps with leadership to scale data science initiatives in fintech.
Designs and deploys AI/ML solutions using Python, statistical modeling, and frameworks like TensorFlow/PyTorch, covering data analysis, model development, and productionization.
The Data Scientist will design and implement scalable machine learning and optimization models to enhance business processes at P&G. The role involves collaborating with engineering teams to productionize algorithms using Python, cloud platforms, and advanced AI techniques.
Data Scientist designing and implementing end-to-end generative AI and LLM solutions, working across the full software development lifecycle with NLP/CV, Python, and cloud platforms (Azure, AWS, GCP).
The Principal Product Manager will lead the strategy and delivery of Arm's AI developer tools, creating a unified experience for optimizing and deploying machine learning models on Arm hardware. This role involves defining roadmaps, managing developer experience across various interfaces, and fostering ecosystem partnerships.
We couldn't check your fit for this role — add a CV to your profile to see it next time.