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Fullstack AI Engineering Manager
Fullstack AI Engineering ManagerOpenkyber • GA, United States
Fullstack AI Engineering Manager

Fullstack AI Engineering Manager

Openkyber • GA, United States
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Job Title : Senior AI / Machine Learning Engineer

Location : On-site Atlanta, GA

Duration : 6-month contract with potential for extension

Seeking a highly experienced AI / Machine Learning Engineer to lead the design, development, and deployment of AI-powered applications. This role is ideal for a seasoned professional with a strong background in AI / ML, cloud architecture, and full-stack development. You will play a key role in shaping intelligent solutions using cutting-edge technologies such as Azure Open AI (GPT models), Azure Functions, Cosmos DB, and Web Apps.

This is a hands-on leadership opportunity to work closely with cross-functional teams, mentor junior engineers, and drive innovation in AI application development for real-world use cases.

Key Responsibilities :

  • Architect and implement scalable AI / ML solutions using Microsoft Azure services.
  • Lead the integration of GPT models and other LLMs into web applications and APIs.
  • Oversee the rapid prototyping and deployment of AI-powered tools for internal and client-facing applications.
  • Collaborate with data scientists, developers, and stakeholders to define technical requirements and deliver robust solutions.
  • Write high-quality, maintainable code in Python and JavaScript.
  • Ensure best practices in software engineering, including CI / CD, testing, and documentation.
  • Mentor junior engineers and contribute to knowledge sharing across the team.
  • Stay current with advancements in AI / ML and cloud technologies to guide strategic technical decisions.

Required Qualifications :

  • 10+ years of experience in software engineering, with at least 7 years in AI / ML development.
  • Proven experience working with GPT models or other LLMs in production environments.
  • Strong proficiency in Python and JavaScript, with experience in building web-based applications and APIs.
  • Deep understanding of machine learning, natural language processing, and neural networks.
  • Hands-on experience with Microsoft Azure, including Azure Open AI, Azure Functions, and Cosmos DB.
  • Solid knowledge of RESTful APIs, cloud-native architectures, and DevOps practices.
  • Excellent problem-solving, communication, and leadership skills.
  • Bachelors or Master's degree in Computer Science, Engineering, or a related field.
  • Ability to work on-site in Atlanta, GA as required by the client.
  • Experience with front-end frameworks such as React, HTML, and CSS.
  • Familiarity with data pipelines, ML Ops, and model deployment in cloud environments.
  • Prior experience working with government or public health agencies (e.g., CDC).
  • Existing CDC network profile and access to company-issued workstation equipment is a plus.
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    Engineering Manager • GA, United States

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