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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.
Ciklum is looking for a Senior Artificial Intelligence/Machine Learning Engineer to join our team full-time in Brazil. We are a custom product engineering company that supports both multinational organizations and…
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.
Build and scale high-performance ML systems for real-time fraud detection using PyTorch/TensorFlow and multi-GPU training pipelines, while mentoring engineers and shaping data architecture.
Embed within client teams to design and deploy scalable data platforms, ML pipelines, and GenAI workflows using Python, Spark, and cloud-native tools.
Build and deploy AI/ML models for British Army training, integrating them into secure systems and automating ML pipelines with Python, PyTorch/TensorFlow, and DevSecOps tools.
Build cloud-native Python services and APIs that power data-driven network analytics, forecasting, and AI at a major media and entertainment company.
Build and deploy computer-vision models using deep learning frameworks like PyTorch/TensorFlow to classify images, detect objects, and segment scenes for AI applications.
Build and train large language models from scratch for coding assistance, deploying them to production across JetBrains’ developer tools ecosystem.
Build and deploy AI models for human-like conversations, spanning speech, language, and real-time inference systems. Own end-to-end ML pipelines and MLOps tooling in a fast-moving startup.
