AI Engineer at TECHEAD Richmond, VA

CDL Labor Logistics; Richmond (VA); On-site; USD 110,000 - 140,000; Full time

Job summary

TECHEAD is seeking an AI Engineer for a 100% onsite role in Richmond, VA. This direct-hire opportunity requires strong AI/ML expertise and collaboration with data scientists and cloud engineers.

Responsibilities include designing and deploying AI models, maintaining pipelines, documenting results, and staying current with AI trends. Local candidates only; start date November 2025.

Qualifications

• 3+ years in AI/ML development with TensorFlow, PyTorch, or Scikit-Learn.
• Strong programming in Python, Java, or C++ and exposure to ML deployment.
• Experience with big data tools (Hadoop, Spark) and model pipelines.

Responsibilities

• Design, develop, and deploy AI/ML models for business applications.
• Collaborate with data scientists and software engineers to integrate AI solutions.
• Maintain scalable pipelines and optimize model performance on cloud.
• Document results and communicate limitations to stakeholders.

Skills

Strong communications

Critical Thinking

Cloud platforms

Math & statistics

Python

Java

C++

Education

Bachelor’s degree in CS/Engineering/Math

Master’s or PhD in AI/ML/Data Science

Tools

TensorFlow

PyTorch

Scikit-Learn

Hadoop

Spark

Git

Job description

AI Engineer job at TECHEAD. Richmond, VA.

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.

Continuous Improvement (20%)

• 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.

Leadership and Relationships (20%)

• 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, 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.

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.

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.