AI Engineer

TECHEAD; Richmond (VA); Sur place; USD 130 000 - 140 000; Plein temps

Résumé du poste

A leading technology firm in Richmond, Virginia, is seeking an experienced AI/ML Developer to design and implement AI solutions. This role requires a strong background in AI technologies and collaboration with cross-functional teams. The ideal candidate will have at least 3 years of experience and a Bachelor's degree. The position offers competitive salary and requires on-site presence.

Qualifications

• Minimum of 3 years of experience in AI/ML development or similar roles.
• Proven experience with machine learning frameworks.
• Strong background in programming languages like Python, Java, or C++.

Responsabilités

• Design, develop, and implement AI and ML models.
• Collaborate with data scientists and engineers.
• Document and communicate model results to stakeholders.

Connaissances

Strong communications

Critical Thinking

Extensive experience with Cloud Platforms

Strong foundation in math and statistics

Formation

Bachelor’s degree in Computer Science or related field

Master’s or Ph.D. in AI/ML/Data Science

Outils

TensorFlow

PyTorch

Scikit-Learn

Hadoop

Spark

Description du poste

Base pay range

$130,000.00/yr - $140,000.00/yr

Direct message the job poster from TECHEAD

TECHEAD is celebrating over thirty-five years of incredible heritage, talent, and accomplishments! To learn more about TECHEAD, visit us at TECHEAD.com or on Glassdoor.

Direct - Hire

100% onsite

Local Candidates Only

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.
• 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
• TensorFlow Developer Certificate

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.
• 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.

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\'s mission is to make our on-site associates successful by placing them in the right environment so they can grow and prosper. How we treat and respond to our clients and employees is a reflection of who we are and makes us stand out from the rest. Keeping our business focused on building and maintaining relationships with our employees and clients is the key to our success. We won\'t strive for anything less.

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.

For more information on TECHEAD please visit www.techead.com.

No second parties will be accepted.

Seniority level

• Associate

Employment type

• Full-time

Job function

• Information Technology
• Industries: Construction

No changes to the underlying content; formatting refined for readability and compliance.