Highbrow Technology IncRemote
Senior AI/ML Engineer
United States of America
Contract
2 weeks ago
H1B Sponsor Likely
Key skills
PythonMachine learning frameworksTensorFlowPyTorchAI agents developmentMachine learning models deploymentMicrosoft AzureAzure Data platformAzure AI platformDatabricksFabricAI FoundryGenerative AI modelsLarge language modelsPlanning algorithmsDecision-making frameworksAIMachine LearningMLGenAILarge Language ModelsAgenticAzure
About this role
Highbrow Technology Inc is seeking a Senior AI/ML Engineer to develop and deploy AI agents and machine learning models. The role involves collaborating across the stack to support backend services and contribute to the development of intelligent security solutions.
Responsibilities:
- Machine learning frameworks and libraries (such as TensorFlow, PyTorch, or similar), developing and deploying AI agents and machine learning models
- Demonstrate deep expertise in cloud technologies, with a strong focus on Microsoft Azure, including expertise in Azure Data and AI platforms (such as Databricks, Fabric, and AI Foundry)
- Build and experiment with GenAI models and agentic workflows
- Design and implement intelligent AI agents leveraging large language models (LLMs), planning algorithms, and decision-making frameworks
- Build and experiment with GenAI models and agentic workflows, contributing to the development of intelligent security solutions
- Collaborate across the stack, supporting backend services, model pipelines, and frontend interfaces for agentic systems
- Prototype rapidly, iterate on ideas, and contribute to incubation efforts in a startup-style environment
- Work closely with senior engineers and researchers, learning best practices and contributing to production-grade AI systems
Requirements:
- 6 to 10 years of Experience
- Proficient in Python and other relevant programming languages
- 3 years of hands-on experience with machine learning frameworks and libraries (such as TensorFlow, PyTorch, or similar)
- 2 years of hands-on experience in developing and deploying AI agents and machine learning models
- Demonstrate deep expertise in cloud technologies, with a strong focus on Microsoft Azure, including expertise in Azure Data and AI platforms (such as Databricks, Fabric, and AI Foundry)
- Build and experiment with GenAI models and agentic workflows
- Design and implement intelligent AI agents leveraging large language models (LLMs), planning algorithms, and decision-making frameworks
- Collaborate across the stack, supporting backend services, model pipelines, and frontend interfaces for agentic systems
- Prototype rapidly, iterate on ideas, and contribute to incubation efforts in a startup-style environment
- Work closely with senior engineers and researchers, learning best practices and contributing to production-grade AI systems