Full Stack Data Scientist (AI/ML)

AIToolboard; Reston (VA); On-site; USD 120,000 - 160,000; Full time

Job summary

AIToolboard in Reston, VA is seeking a Senior Full Stack Data Scientist to deliver AI/ML solutions end-to-end, from problem framing to production deployment.

The role combines modeling expertise with software engineering and MLOps, building scalable Python pipelines for training and inference and collaborating with platform teams to operationalize AI at scale.

Ideal candidates have 6+ years in production ML and strong communication for cross-functional teams.

Qualifications

• 6+ years of hands-on experience in production-ready ML models and applications.
• Strong experience with AWS cloud ML platforms and ML Ops.
• Proficient in Python, ML libraries, SQL, and big data processing.

Responsibilities

• Translate business requirements into AI/ML solutions end-to-end.
• Design, develop, validate, and document models and applications.
• Build production-grade Python code and data pipelines for training and inference.
• Collaborate with MLOps to deploy, monitor, and retrain models.
• Ensure scalable, reliable AI systems with proper testing and CI/CD.

Skills

Python

Machine Learning

Statistical modeling

SQL

Big data processing

MLOps

Communication

Education

Bachelor’s or Master’s in Data Science, Computer Science, Engineering, or related field

Tools

AWS SageMaker

MLFlow

S3

Redshift

TensorFlow

PySpark

Job description

# Full Stack Data Scientist (AI/ML)Technology VenturesReston, USContractor## About the RoleReston, VAContractJun 2, 2026Full Stack Data Scientist (AI/ML) -We are seeking a Full Stack Data Scientist to develop AI/ML solutions end-to-end, from business problem formulation and model development through production-ready application delivery and operationalization. This role combines deep modeling expertise, strong software engineering skills, and practical MLOps experience. The ideal candidate builds models that matter, writes code that lasts, and partners with platform teams to deploy, monitor, and operate AI/ML solutions efficiently and reliably at scale.Key Responsibilities• Translate complex business requirements into AI/ML-based technical solutions and ensure efficiency, scalability and reliability• Design, develop, validate, and document AI/ML models and applications• Build production-grade Python code and pipelines for data processing, feature engineering, training, and inference.• Develop model-driven applications and services (batch or real-time).• Apply software engineering best practices including modular design, testing, code reviews, and CI/CD.• Collaborate with MLOps teams on deployment, monitoring, versioning, and retraining.• Implement model performance, stability, and data drift monitoring.• Produce documentation to support governance, validation, and audit requirements.Required Qualifications• Proven hands-on experience (6+ years preferred) in production-ready models and applications that solve real business problems while actively participating in MLOps to ensure solutions operate reliably in production.• Strong experience in statistical modeling, machine learning, AI, and applied analytics.• Advanced proficiency in Python, ML libraries, SQL, and big data processing (e.g. pandas, NumPy, scikit-learn, TensorFlow, PySpark ).• Experience writing production-ready, maintainable code and application design.• Strong experience with AWS cloud ML platforms (e.g., AWS SageMaker, MLFlow, S3, compute services, Redshift).• Experience with model deployment and MLOps practices• Strong problem-solving and communication skills.EducationBachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Engineering, or a related quantitative field.