Top AI & Machine Learning Jobs

18 Hours AgoSaved
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In-Office
Toronto, ON, CAN
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137K-165K Annually
Senior level
137K-165K Annually
Senior level
Artificial Intelligence • Fintech • Hardware • Information Technology • Sales • Software • Transportation
Designs, builds, deploys, and operates production software and AI systems on AWS or GCP. Responsibilities include developing backend services and APIs, building RAG and inference platforms, managing Kubernetes and Terraform infrastructure, implementing CI/CD and observability, responding to incidents, and optimizing cloud and GPU costs. The role owns systems throughout their lifecycle while establishing reliability, governance, security, and cost controls for scalable AI capabilities.
Top Skills: AWSCi/CdFinops ToolingGCPGoIamJavaKubernetesLlmsNext.JsNode.jsPythonPyTorchRagReactTensorFlowTerraformTypescriptVector Databases
Reposted YesterdaySaved
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In-Office
Bangalore, Bengaluru Urban, Karnataka, IND
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Entry level
Entry level
Artificial Intelligence • Fintech • Hardware • Information Technology • Sales • Software • Transportation
Develop and deploy AI and deep-learning models for visual, audio, and real-world perception systems. Responsibilities span model research, data and evaluation pipeline design, robustness analysis, real-time and resource-constrained deployment, and production troubleshooting across edge and cloud environments. Collaborate with firmware, platform, and product teams to deliver reliable systems. Experience with Python, PyTorch, a systems language, agentic tools, and optionally LLMs, embedded ML, video understanding, retrieval, and distributed training is valued.
Top Skills: AnyscaleC++Distributed TrainingEmbedded MlGoLlmsOnnx RuntimePythonPyTorchRayRedashSnowflakeSnpeTensorrtTfliteVlms
Reposted One Month AgoSaved
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Remote
United States
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140K-160K Annually
Senior level
140K-160K Annually
Senior level
Artificial Intelligence • Fintech • Hardware • Information Technology • Sales • Software • Transportation
Build and manage AI-powered workflows, agents, automations, and internal applications for Deal Desk and GTM teams. Identify automation opportunities, develop prototypes, scale solutions to production, integrate enterprise data and APIs, implement human validation and audit controls, optimize LLM costs, document tools, measure adoption, and train users. The role requires Deal Desk or RevOps experience plus practical knowledge of AI models, APIs, scripting, SQL/SOQL, Python, CPQ, CLM, Salesforce, and agentic platforms.
Top Skills: Agent2AgentAgentforceAPIsChatgptClaudeClaudeforceClmCpqCursorGeminiGleanGrokMcpN8NPerplexityPythonReactRetoolSalesforceSOQLSQL
One Month AgoSaved
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In-Office
2 Locations
Easy Apply
Senior level
Senior level
Artificial Intelligence • Fintech • Hardware • Information Technology • Sales • Software • Transportation
Designs and improves computer vision and machine learning systems for fleet safety, including object detection, segmentation, recognition, and real-time embedded processing. Develops AI models, training and model compression pipelines, cloud services, and automated deployment and validation workflows. Converts research prototypes into reliable products, collaborates across engineering teams, solves complex geometric vision problems, and mentors junior engineers.
Top Skills: Aws Ec2Aws LambdaAws RdsAws S3Aws SagemakerC++Ci/CdComputer VisionDeep LearningDockerKubernetesMachine LearningPythonPyTorchTensorFlowTerraform
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