Senior AI /Machine Learning Engineer

Dice is the leading career destination for tech experts at every stage of their careers. Our client, Raas Infotek LLC, is seeking the following. Apply via Dice today! 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.