AI Engineer

Avid Technology Professionals, LLC; Maryland; On-site; USD 120,000 - 180,000; Full time

Job summary

Avid Technology Professionals, LLC is seeking a skilled AI/ML Engineer to lead the design and development of AI-driven solutions from conception to deployment, prototyping models and writing production-quality code within our software architecture.

You will collaborate with cross-functional teams, perform exploratory data analysis, build and evaluate models, and apply robust testing and MLOps practices on AWS to deploy scalable AI systems.

Responsibilities

• Lead the design and development of AI-driven solutions from conception to deployment.
• Prototype new models and maintain existing AI systems.
• Serve as a technical liaison with cross-functional teams and present AI approaches to stakeholders.

Tools

AWS

Python

MLOps

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.