Sr. AI/ML Engineer

Cloud Data Networks; Richmond (VA); In loco; USD 140.000 - 190.000; Tempo pieno

Descrizione del lavoro

Cloud Data Networks, Inc. is seeking a Senior AI/ML Engineer for an on-site, full-time role based in Richmond, VA. The position focuses on designing and deploying machine learning models and AI solutions addressing complex business problems.

Responsibilities include handling large datasets, refining neural architectures, and collaborating with product teams to integrate AI services into production systems while ensuring scalability and high performance.

Competenze

• Bachelor3s degree in Computer Science, Engineering, Mathematics, or related field (required).
• 10+ years of experience building and deploying production-grade AI/ML systems.
• Deep knowledge of machine learning, deep learning, and applied AI.
• Experience across full ML lifecycle: data curation, training, deployment, monitoring.
• Track record of ship-ready solutions (recommendations, search, translation, etc.).
• Experience adapting or training foundation models for novel domains.
• Partner with product, design, and engineering teams to identify AI opportunities.
• Prototype and productionize AI systems with intuitive UX and robust under-the-hood logic.
• Develop and scale AI/ML infrastructure powering internal tooling and customer features.
• Daily work includes agentic systems, NLP, language translation, and evaluations.

Mansioni

• Design, build, and deploy ML models and AI solutions.
• Analyze large datasets and optimize algorithms for production.
• Collaborate with software engineers and product teams to integrate AI/ML services.
• Ensure scalability and performance with clear documentation and best practices.
• Stay current with AI/ML advances and conduct experimental research.

Conoscenze

Machine Learning

Deep Learning

Applied AI

ML Lifecycle

LLM

NLP

Production Systems

Experimentation

Language Translation

Formazione

Bachelor3s degree in Computer Science/Engineering/Math

Strumenti

Langchain

ADK

Descrizione del lavoro

Company Description Cloud Data Networks is a global software and back-office services company founded in 2020, delivering technology solutions and software products to enterprises worldwide. The organization provides end-to-end services, including business process support, software design and development, quality assurance, and ongoing maintenance. Cloud Data Networks focuses on next-generation technologies and modern architectures to help clients scale and transform their operations. Team members join a group that values the right expertise, strong passion for technology, and a strategic approach to solving complex business challenges.

Role Description The Sr. AI/ML Engineer is a full-time, on-site role based in Richmond, VA. This role is responsible for designing, building, and deploying machine learning models and AI solutions that address complex business and technical problems. Day-to-day tasks include analyzing large datasets, developing and optimizing algorithms, implementing neural network architectures, and performing model training, evaluation, and tuning. The engineer will collaborate with software developers, data engineers, and product teams to integrate AI/ML services into production systems, ensure scalability and performance, and maintain clear documentation. The role also involves staying current with advances in AI/ML, conducting experimental research, and contributing to best practices and technical standards across the organization.

Work Location: St.Louis, MO or Atlanta, GA

• Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field (required)
• 10+ years of experience building and deploying production-grade AI/ML systems
• Deep knowledge of machine learning, deep learning, and applied AI
• Experience across the full ML lifecycle: data curation, training, deployment, monitoring
• A track record of building things that ship—whether it’s recommendations, search, machine translation, or something equally complex
• Experience adapting or training foundation models (language or multimodal) for novel domains
• Partner with product, design, and engineering teams to identify high-impact AI/ML opportunities
• Prototype and productionize AI systems that feel intuitive but do a lot under the hood—recommendations, natural language interfaces, agentic workflows, and more
• Develop and scale AI/ML infrastructure that powers both internal tooling and customer-facing features
• Tackle these on a daily basis Agent, LLM, *Language Translation, English to Spanish, NLP*,agentic systems, evaluations , Langchain or ADK etc