AI/Machine Learning Engineer

Overview

On Site
Depends on Experience
Contract - W2
Contract - 06 Month(s)
75% Travel

Skills

Application Development
Artificial Intelligence
Cascading Style Sheets
Change Data Capture
Cloud Architecture
Cloud Computing
Collaboration
Communication
Computer Science
Conflict Resolution
Continuous Delivery
Continuous Integration
Cosmos-Db
Customer Facing
DevOps
Documentation
HTML
Innovation
JavaScript
Knowledge Sharing
Leadership
Machine Learning (ML)
Machine Learning Operations (ML Ops)
Management
Mentorship
Microsoft Azure
Natural Language Processing
Network
Problem Solving
Public Health
Python
RESTful
Rapid Prototyping
React.js
Software Engineering
Testing
Use Cases
Web Applications

Job Details

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.

Preferred Skills:

  • 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.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.