Search jobs right inside Claude, ChatGPT or Cursor. Connect freehire over MCP — free, no account needed to search.
Build and automate cloud infrastructure for AI/ML models and agents, deploying scalable pipelines on AWS/GCP/Azure with Kubernetes, CI/CD, and observability tools.
Overview Medallia is the pioneer and market leader in Experience Management. Our award-winning SaaS platform, Medallia Experience Cloud, leads the market in the management of experiences, insights, and actions for…
Design and deploy AI/ML systems (Generative AI, NLP, vision, recommendations) end-to-end, from data pipelines to cloud production, and mentor engineers.
Job Description Summary Our client is a small team with big dreams, and a leadership team with the technical expertise and business experience to deliver. Their solutions combine machine learning, hardware design, and…
Design end-to-end big-data architectures (Data Lakehouse, Data Mesh) and scalable ETL/ELT pipelines using Spark, Delta Lake, Iceberg, and cloud platforms (AWS/Azure/GCP).
Lead AI/ML development for product lines, building and deploying models from data processing to production, including LLMs, while mentoring a team of data scientists.
Lead the design and operation of a cloud-based AI/ML platform, enabling data scientists to build, train, and deploy models at scale using Kubernetes, AWS, and MLOps tooling.
Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products. As a Senior Lead Software Engineer at JPMorgan Chase within Corporate - AIML…
Build and run Kubernetes-based cloud infrastructure and MLOps tooling (Kubeflow, Metaflow) to train, deploy, and monitor AI models for autonomous drone systems across hybrid/multi-cloud environments.
Data Scientist with Machine Learning Engineer 1 week ago Be among the first 25 applicants Key Responsibilities Explore, clean, and analyze structured and unstructured datasets. Apply statistical techniques to generate…
At PointClickCare our mission is simple: to help providers deliver exceptional care. And that starts with our people. As a leading health tech company that’s founder-led and privately held, we empower our employees to…
Builds enterprise-grade Generative AI and AI/ML platform services, APIs, and agentic workflows using Python, FastAPI, Kafka, and Kubernetes to accelerate AI adoption for clients in finance and other industries.
Build and deploy production-grade AI systems, including LLM-powered agents and analytics, to enhance customer experience and workforce productivity using NLP, retrieval-augmented generation, and agentic workflows.
Build and optimize ML deployment platforms and inference pipelines for autonomous-vehicle software, shipping PyTorch models to GM’s Super Cruise fleet with real-time latency and safety constraints.
Build and maintain scalable MLOps pipelines on GCP and Vertex AI, automating model deployment, monitoring, and retraining for enterprise AI solutions.
Build and deploy production-grade AI systems, including LLM-powered agents and analytics, to enhance customer experience and workforce productivity.
Build, deploy, and scale AI/ML models and pipelines for Wave’s fintech platform, ensuring reliability, governance, and integration with AWS and MLOps tools.
Principal AI Engineer designs and builds a centralized AI platform and agentic frameworks for healthcare use cases, integrating clinical NLP, structured evidence graphs, and policy engines while ensuring regulatory compliance.
Designs and deploys GPU-powered AI and HPC infrastructure on Civo’s cloud platform, optimizing Kubernetes and bare-metal performance for AI workloads.
