AI Engineer

AI Engineer
Direct - Hire 100% onsite Local Candidates Only Richmond, VA
Start Date: November 2025
No C2C Candidates!
ESSENTIAL FUNCTIONS

60% Development:
Design, develop, and implement AI and machine learning models for a variety of business applications, including data analysis, predictive modeling, and automation.
Collaborate with data scientists and software engineers to integrate AI solutions into existing systems and platforms.
Ensure the scalability and performance of AI models by optimizing algorithms and utilizing cloud infrastructure.
Document and communicate the results, performance, and limitations of AI models to non-technical stakeholders.
Stay up to date with the latest AI research papers, industry trends, and tools to drive continuous improvement of AI processes.
20% Continuous Improvement:
Conduct thorough research on the latest AI technologies, trends, and best practices to ensure the company stays at the forefront of AI advancements.
Implement and maintain machine learning pipelines, from data preprocessing to model deployment.
Troubleshoot and resolve issues related to AI models, ensuring they meet the desired accuracy and performance standards.
20% of Leadership and Relationships:
Collaborate with business leaders and stakeholders to understand specific AI use cases and requirements, translating these into actionable solutions.
Provide technical guidance and support to junior team members, helping them grow their skills in AI technologies.
TOP REQUIREMENTS
Strong communications
Critical Thinking
Extensive experience with Cloud Platforms
Strong foundation in math and statistics
MINIMUM REQUIREMENTS
Preferred Certifications:
Google Cloud Professional Data Engineer
Microsoft Certified: Azure AI Engineer Associate
TensorFlow Developer Certificate
AWS Certified Machine Learning Specialty
Work Experience:
Minimum of 3 years of experience in AI/ML development or similar roles.
Proven experience with machine learning frameworks such as TensorFlow, PyTorch, or
Scikit-Learn.
Strong background in programming languages like Python, Java, or C++.
Experience with big data tools and technologies (e.g., Hadoop, Spark).
Experience with automating AI model training, deployment pipelines, and optimization
processes.
Behavioral Competencies:
Ability to analyze complex technical issues and create effective solutions.
Ability to work cross-functionally with engineers, data scientists, and product teams.
Strong verbal and written communication skills for conveying technical concepts to non-technical stakeholders.
Open to new approaches and rapidly changing environments.
Technical Competencies:
Strong understanding of supervised and unsupervised learning techniques, deep learning, reinforcement learning, and NLP.
Experience in data preprocessing, feature extraction, and transforming raw data into usable formats.
Knowledge of cloud platforms (AWS, Azure, Google Cloud Platform) and experience in deploying AI models on cloud.
Proficient in software development practices, version control (Git), and testing frameworks.
Strong foundation in statistics, linear algebra, and probability, which are fundamental for AI algorithms.

Required Education:

Bachelor s degree in Computer Science, Engineering, Mathematics, or a related field.
Preferred Education:
Master s or Ph.D. in Artificial Intelligence, Machine Learning, Data Science, or a related
advanced field.