Senior AI Engineer: ML Systems & Innovation Lead

redalpha; Maryland; On-site; USD 170,000 - 230,000; Full time

Benefits offered by this job

401k matching

Paid time off

Health, dental, vision

Education stipend

Merchandise allowance

Team events

Job summary

Red Alpha is seeking an AI Engineer to partner with system and software engineers to design, prototype, and integrate AI advances into the RAD architecture. This role focuses on solutions that augment human intelligence, streamline workflows, and boost intelligence operations.

You will lead AI design, data modeling, and model evaluation, ensuring robust testing and deployment at scale on AWS, with strong cross-functional collaboration and communication throughout the project lifecycle.

Qualifications

• 10+ years of AI, data science and development experience.
• Bachelor's degree in CS or related field (or 4 years of relevant experience in lieu).
• Lead design and development of AI-driven solutions end-to-end.
• Collaborate with cross-functional teams and stakeholders.
• Conduct EDA and build/validate ML models for production use.
• Stay current with AI/ML advances and apply them to systems.

Responsibilities

• Design and prototype AI advancements within theRAD architecture.
• Integrate AI solutions with existing software systems.
• Prototype models, write production-quality code, and maintain AI systems.
• Collaborate with system engineers, software developers, and domain experts.
• Evaluate models, ensure performance, reliability, and fairness.

Skills

AI/ML engineering

Data science

Software development

Model development

Communication

Cloud ML/MLOps

Education

B.S. in Computer Science or related field

4 years of relevant experience in lieu of degree

Tools

AWS

MLOps tools

Job description

Red Alpha is seeking an AI Engineer to partner with system and software engineers to design, prototype, and integrate AI advances into the RAD architecture. This role focuses on solutions that augment human intelligence, streamline workflows, and boost intelligence operations.

You will lead AI design, data modeling, and model evaluation, ensuring robust testing and deployment at scale on AWS, with strong cross-functional collaboration and communication throughout the project lifecycle.