AI Solutions Engineer - Build & Deploy Scalable ML on AWS

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

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.