AI/ML Engineer (AWS)

Reply • Philadelphia, PA

22h

About The Position

Valorem Reply, part of the Reply Network, is a leader in Microsoft-based IT solutions, supporting and advising Giant Tech customers in all aspects of Microsoft and other industry-leading technologies. They specialize in designing, developing, implementing, and managing custom and low-code solutions to help customers unlock the potential of their IT infrastructure for sales and partner initiatives. As a Senior Developer, the role involves playing a key part in building and evolving ML/AI applications and services on AWS. This position requires close collaboration with product, architecture, and engineering teams to deliver reliable, high-quality solutions that meet business and customer needs. The ideal candidate should be comfortable contributing across the entire software development lifecycle, from design and implementation through deployment, support, and continuous improvement.

Requirements

• 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.

Nice To Haves

• 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

Responsibilities

• 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.

What This Job Offers

• Career Level: Senior
• Number of Employees: 101-250 employees