[Remote] Sr AI/ML Engineer (W2 - Contract)
Salário Estimado
R$ 12.870,00 - R$ 19.305,00
Regular
Score da Vaga
Descrição da Vaga
Note: The job is a remote job and is open to candidates in USA.
Highbrow Technology Inc is seeking a Senior AI/ML Engineer for a contract position.
The role involves developing and deploying AI agents and machine learning models, with a strong focus on Microsoft Azure and GenAI technologies.
Responsibilities • Machine learning frameworks and libraries (such as TensorFlow, PyTorch, or similar), developing and deploying AI agents and machine learning models
It was founded in 2011, and is headquartered in Cary, North Carolina, USA, with a workforce of 201-500 employees.
Its website is https://highbrowtechnology.com.
Company H1B Sponsorship • Highbrow Technology Inc has a track record of offering H1B sponsorships, with 47 in 2025, 24 in 2024, 34 in 2023, 8 in 2022, 31 in 2021, 12 in 2020.
Please note that this does not guarantee sponsorship for this specific role.
Requisitos
- 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
Responsabilidades
- 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 secure, scalable AI agents and integrate into applications and workflows for robust, cross-platform deployment and enhanced user experience
- Advance AI agent capabilities through research and performance evaluation, focusing on improved conversation, decision-making, adaptability, and the implementation of safety and guardrail mechanisms
- Continuously optimize agent performance through feedback mechanisms, reinforcement learning, and user interaction analysis
- 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 Microsoft AI Foundry)
- 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
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