🚀Hiring: AI/ML Engineers
🌎 Location: Remote
6 to 10 years experience
📄 Project Type: W2
Long term contract
🔎 Job Description
🔹 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.
🎯 Qualifications
🔹 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.
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