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Top Hybrid Machine Learning Engineer Jobs
Artificial Intelligence • HR Tech • Information Technology • Professional Services
The Senior Applied Scientist will develop machine learning solutions for personalization, pricing optimization, and fraud detection, leading model development and experimentation while collaborating with various teams.
Top Skills:
PythonPyTorchScikit-LearnSQL
Artificial Intelligence • Information Technology • Robotics • Defense
Design, train, and deploy machine learning models for RF signal detection, classification, and vessel activity tracking in maritime intelligence.
Top Skills:
Deep Learning FrameworksPythonTorchsig
Machine Learning • Software
The Machine Learning Engineer will design and build scalable ML data pipelines, manipulate 3D data, collaborate with customers, and ensure reliable deployment of ML systems.
Top Skills:
AWSAzureDaskDockerGCPKubernetesMlflowPythonSparkTensorFlow
Software
Design, build, and maintain LLM integrations and Snap Packs, develop the Agent Framework and MCP server, implement cross-provider LLM features, leverage AI-assisted development, ensure code quality and test coverage, and share technical knowledge across teams.
Top Skills:
Agent FrameworksAgent VisualizerAmazon BedrockAnthropicAzure OpenaiCi/CdGoogle Vertex AiJavaJson SchemaMavenMcpOpenaiPythonRest ApisSnap PacksSnaplogicVector Stores
Software
As a Senior Machine Learning Engineer, you will own the ML stack, develop generation systems, improve quality, collaborate cross-functionally, and build data pipelines.
Top Skills:
DeepspeedDiffusersHugging FaceLoraNext.JsPeftPythonPyTorchRayTransformersTypescript
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Artificial Intelligence • Cloud • Hardware • Software
As a ML Engineer at Apiphany, you will develop advanced machine learning models, focusing on engineering data, AI systems, and real-world performance.
Top Skills:
Deep LearningLarge Language ModelsNatural Language ProcessingPython
Healthtech • Robotics
The role involves developing machine learning models for robotics in medical imaging, collaborating with engineers and clinicians to prototype and deploy systems for autonomous surgical interventions.
Top Skills:
IsaacMujocoPythonPyTorchRos
Aerospace • Security • Energy • Industrial
Design, develop, and deploy advanced ML models for smart buildings and industrial automation. Integrate models into BMS/ICS/SCADA/PLC environments, implement real‑time and batch inference, collaborate with data engineering and MLOps for pipelines and deployment, optimize inference performance, lead PoCs, mentor junior engineers, and ensure cybersecurity and industrial safety compliance.
Top Skills:
AksAWSAzureBmsCi/CdDatabricksGCPGkeJaxKubernetesMicrok8SMlflowNvidia JetsonNvidia TritonOnnxOnnx RuntimePlcPysparkPythonPyTorchScadaScada SystemsScikit-LearnTensorFlowTorchscriptVllmXgboost
Gaming
The Staff Machine Learning Engineer will design and implement ML systems, build scalable architectures, collaborate with data teams, and drive technical strategy for AI applications.
Top Skills:
AirflowAWSAws OpensearchAzureBedrockDatabricksElasticsearchFlinkGCPJavaKafkaPythonPyTorchSagemakerScikit-LearnSparkTensorFlowTerraform
Artificial Intelligence • Automotive • Robotics • Software • Transportation
The Senior ML Engineer will architect data pipelines, develop classification algorithms, manage data integration, and mentor team members in a cross-functional setting.
Top Skills:
AWSAzureBeamDatabricksGCPPythonRaySparkSQL
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