AI/ML Engineer (AWS) at Reply – Chicago, Illinois

Valorem Reply, part of the Reply Network, is a leader in Microsoft-based IT solutions. We support and advise our Giant Tech customers in all aspects of Microsoft, and other industry-leading technologies. From designing and developing custom solutions and low-code solutions, to implementing and managing them seamlessly, Valorem Reply helps customers unlock the potential of their IT infrastructure to enable their sales and partner initiatives.

As a Senior Developer, you will play a key role in building and evolving ML/AI applications and services on AWS. You will work closely with product, architecture, and engineering teams to deliver reliable, high-quality solutions that meet business and customer needs. You should be comfortable contributing across the software development lifecycle, from design and implementation through deployment, support, and continuous improvement.

• Build and deliver scalable systems that incorporate machine learning and Generative AI capabilities.
• Create, evaluate, and deploy machine learning solutions, including applications powered by large language models.
• Establish and maintain datasets, testing strategies, and validation approaches to ensure model accuracy and stability.
• Partner with product and engineering teams to translate business needs into practical, deployable AI solutions.
• Integrate machine learning components into existing platforms and services.
• Develop and manage automated pipelines that support continuous integration and delivery of machine learning solutions.
• Monitor performance in production environments and refine systems based on real-world usage.

• Must be US Citizen or green card holder
• Bachelor’s degree in Computer Science, Engineering, or related field.
• 3 years experience delivering machine learning or AI-based solutions in production settigs.
• 3 years experience programming in Python or a comparable language.
• 3 years experience working with large language models or Generative AI technologies.
• 3 years experience building and deploying solutions in AWS environments.
• 3 years experience establishing automated build, test, and release workflows for ML or data-driven applications.
• 3 years experience supporting deployed models, including monitoring performance and managing updates.

• Master’s degree or higher in Computer Science, Engineering, or related field.
• Experience with retrieval-augmented generation (RAG), embeddings, or agent-based architectures.
• Experience designing distributed systems or working within cloud-based environments.
• Experience integrating AI capabilities into customer-facing or enterprise applications.
• Experience working in Agile development environments.
• AWS certification