AI/ML Developer

Opportunity Details

Employee AI/ML Developer -101867

Reston, Virginia and Dallas, TX.

AI/ML Developer

Location: Reston, VA. and Dallas, TX.

Required Clearance: Public Trust (DHS Preferred)

U.S. Citizenship Mandatory: Due to our US federal government contract, candidates for this position are required to be a US Citizen and will be subject to a background investigation.

Job Responsibilities:

Design, develop, and deploy machine learning models to support predictive analytics, anomaly detection, and decision-support tools.

Integrate AI/ML solutions into operational systems and workflows to enhance automation and efficiency.

Create and fine-tune algorithms for various tasks such as classification, regression, clustering, and recommendation systems.

Preprocess, clean, and transform data to ensure high-quality inputs for model training.

Develop models leveraging advanced machine learning techniques, including deep learning, reinforcement learning, and natural language processing.

Build and maintain scalable and efficient data pipelines using Databricks and Hadoop/Cloudera.

Implement ETL processes to clean, prepare, and transform large datasets for analysis and modeling.

Ensure data integrity and quality throughout the data lifecycle.

Evaluate model performance using appropriate metrics and implement improvements as needed.

Collaborate with data engineers, product managers, and developers to align AI/ML solutions with program goals.

Implement best practices for model versioning, deployment, monitoring, and retraining.

Ensure compliance with data privacy, security, and regulatory standards in AI/ML workflows.

Document model design, assumptions, data sources, and performance results.

Stay current with emerging AI/ML technologies, frameworks, and research to enhance solutions.

Mentor junior team members and contribute to knowledge sharing in AI/ML development practices. Required Skills:

3+ years of experience developing and optimizing solutions using Python or similar, with a strong focus on performance, scalability, and efficiency.

Extensive experience working with vector technology databases, designing and implementing solutions to efficiently store, search, and analyze high-dimensional data for real-time and large-scale applications.

Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, or a related field + 10 years of experience; a master's degree preferred

A bachelor's degree with an additional three (3) or more years of relevant experience may substitute for a master's degree.

Minimum of five (5) years of directly related experience in AI/ML development, data science, or applied analytics.

Hands-on experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn).

Strong programming skills in Python, Java, or R; experience with APIs and integration into production systems.

Knowledge of data preprocessing, feature engineering, model evaluation, and deployment pipelines.

Familiarity with cloud platforms (AWS, Azure, GCP) for AI/ML workloads.

Excellent analytical, problem-solving, and critical-thinking skills.

Strong communication and collaboration skills, with the ability to work with cross-functional teams.

Experience mentoring or guiding less experienced AI/ML engineers is a plus.