AI Engineer Annapolis Junction, MD 03-23-2026

Avid Technology Professionals, LLC; Annapolis, Northern (MD, KY); Hybrid; USD 110,000 - 140,000; Full time

Job summary

Avid Technology Professionals, LLC in Maryland is seeking an AI/ML engineer to lead the design and development of AI-driven solutions from concept to deployment, integrating with the existing software architecture.

You will collaborate with cross-functional teams, present AI approaches to both technical and nontechnical stakeholders, perform Exploratory Data Analysis, build and evaluate models, and continuously improve systems using AWS and MLOps tools.

Qualifications

• Lead the design and development of AI-driven solutions from conception to deployment.
• Present and articulate AI approaches to both technical and nontechnical stakeholders.
• Perform Exploratory Data Analysis on diverse datasets to inform data models.
• Develop, train, and evaluate ML models with robust testing and validation.
• Stay current with the latest AI advancements and apply new technologies.
• Experience with AWS and ML Ops tools for deploying models at scale.

Responsibilities

• Lead the design and development of AI-driven solutions from conception to deployment.
• Collaboration with cross-functional teams and effective communication of AI approaches.
• Conduct Exploratory Data Analysis to inform data models and input formats.
• Build, train, and evaluate machine learning models with validation.
• Continual improvement of AI systems using new technologies and methods.
• Utilize AWS and MLOps tools to deploy and manage models at scale.

Job description

• Design and Development: Lead the design and development of AI-driven solutions from conception to deployment, ensuring seamless integration with the existing software architecture. This includes prototyping new models, writing production-quality code, and maintaining existing AI systems.
• Collaboration and Communication: Serve as a key technical liaison, collaborating with cross-functional teams including system engineers, software developers, and domain experts. Effectively present and articulate recommended AI approaches, discussing the tradeoffs and implications of different implementations with both technical and nontechnical stakeholders.
• Data Analysis and Modeling: Conduct Exploratory Data Analysis (EDA) on diverse datasets (both structured and unstructured) to inform the data model, identify data quality issues, and determine optimal input formats for AI models.
• Model Building and Evaluation: Develop, train, and evaluate a variety of machine learning models, ensuring they meet performance and reliability requirements. Implement robust testing and validation strategies to ensure models are accurate and unbiased.
• Continuous Improvement: Stay current with the latest advancements in AI and machine learning, continuously seeking opportunities to apply new technologies and methodologies to improve existing systems and solve complex problems.
• Cloud Platforms: Have experience with the Amazon Web Services (AWS) cloud computing platform and machine learning operations (MLOps) tools for deploying and managing machine learning models at scale.