AI Engineer at TECHEAD Richmond, VA

AI Engineer job hmond, VA.

Direct - Hire

100% onsite

Local Candidates Only

Richmond, VA

Start Date:
November 2025

No C2C Candidates!

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.

• 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.

• 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.

• Strong communications
• Critical Thinking
• Extensive experience with Cloud Platforms
• Strong foundation in math and statistics

Preferred

Certifications:

• Google Cloud Professional Data Engineer
• Microsoft Certified:
  Azure AI Engineer Associate
• Tensor Flow Developer Certificate
• AWS Certified Machine Learning – Specialty

• Minimum of 3 years of experience in AI/ML development or similar roles.
• Proven experience with machine learning frameworks such as Tensor Flow, 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.

• 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.

• 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, GCP) 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.

• Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field.

• Master’s or Ph.D. in Artificial Intelligence, Machine Learning, Data Science, or a related advanced field.

TECHEAD provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, marital status, amnesty, or status as a covered veteran in accordance with applicable federal, state and local laws governing non‑discrimination in employment in every location in which the company has facilities.

This policy applies to all terms and conditions of employment, including, but not limited to, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.