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Top Hybrid Machine Learning Engineer Jobs
Software
As an Applied Machine Learning Engineer, you'll design and deploy ML systems for document processing and workflow automation, owning the entire ML lifecycle.
Top Skills:
AWSAzureElasticsearchFaissGCPPineconePythonPyTorchTensorFlowWeaviate
Internet of Things • Analytics
The ML Data Engineer develops and maintains machine learning pipelines and systems, collaborating with teams to optimize manufacturing processes through data-driven insights and predictive models.
Top Skills:
AIApache BeamSparkDataflowGCPMachine LearningMlflowPythonSagemakerSQLVertex
Information Technology • Software
The AI Enterprise Engineer will work with enterprise customers to define model specifications, analyze agent behavior, and benchmark models using Bespoke Labs tools, requiring a strong foundation in AI/ML and production deployment.
Top Skills:
Machine LearningPython
Big Data • Information Technology • Cybersecurity
The BI Analytics Intern will design analytics dashboards in Salesforce, integrate LLM data, and establish an internal data repository while collaborating with multiple teams.
Top Skills:
Data Visualization ToolsPythonRSalesforceSQL
Financial Services
Develop and implement machine learning models for evaluating disputes and chargebacks, and create a model orchestration layer. Collaborate on data use for enhanced user experiences.
Top Skills:
PythonPyTorchRScikit-LearnTensorFlow
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Fintech • Payments • Software • Financial Services
The role involves developing advanced machine learning algorithms, solving complex optimization problems using reinforcement learning techniques, and leading technical projects while optimizing solutions for operational efficiency.
Top Skills:
Aws SagemakerBoosted TreesDatabricksPythonPyTorchScikit-LearnSQLTensorFlow
Artificial Intelligence • Cloud • Machine Learning • Software • Database
The AI/ML Specialist will enhance ML algorithms for fraud and risk, engage with financial clients, and drive technical success with real-world data testing.
Top Skills:
Coding AgentsData ScienceGraph TransformersMachine LearningRelational Datasets
Software
The role involves developing ML-based planning algorithms for autonomous trucks, ensuring safety checks, real-time operation, and keeping up with research. Requires strong communication and collaboration.
Top Skills:
C++PythonPyTorch
Automotive
Seeking a Senior Machine Learning Engineer to develop voice assistant solutions using ML and deep learning, optimizing for production environments. Responsibilities include designing ML pipelines, mentoring juniors, and collaborating with cross-functional teams.
Top Skills:
Deep LearningJaxMachine LearningNatural Language Processing (Nlp)PythonPyTorchTensorFlow
Fintech • Information Technology • Internet of Things • Software
The Machine Learning Engineer will own the ML lifecycle, develop production models, monitor performance, and collaborate with cross-functional teams to enhance business onboarding and fraud prevention applications.
Top Skills:
Ml FrameworksPython
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