Junior AI Engineer at Synergy ECP in Columbia, MD

Summary: Synergy ECP is a leading provider of cybersecurity, software and systems engineering and IT services to the U.S. intelligence and defense communities. The Junior AI Engineer will support the design, development, and deployment of AI/ML solutions in government environments, contributing to model development, data engineering workflows, and AI system integration under the guidance of senior engineers. Responsibilities: - Support development, training, and evaluation of machine learning and AI models - Assist in building data pipelines to support model training and inference - Work with structured and unstructured datasets (text, logs, documents, etc.) - Contribute to experimentation frameworks and model benchmarking - Support integration of AI capabilities into production systems and APIs - Write clean, maintainable, and well-documented Python code - Participate in code reviews and collaborative engineering processes - Assist in MLOps activities (model versioning, monitoring, CI/CD integration) - Ensure compliance with security and governance requirements in federal environments - Document technical approaches and support customer briefings as needed Required Qualifications: - Bachelor's or Master's degree in Computer Science, Engineering, Data Science, Mathematics, or related technical field - 0–3 years of experience in AI/ML, software engineering, or data engineering - Proficiency in Python - Experience with one or more ML libraries (e.g., PyTorch, TensorFlow, scikit-learn) - Familiarity with data preprocessing and feature engineering - Familiarity with model evaluation metrics - Familiarity with Git-based version control - Understanding of basic statistics and machine learning concepts - Strong problem-solving skills and willingness to learn - Ability to work in a collaborative team environment - U.S. Citizenship (if required for federal work) Preferred Qualifications: - Experience working with NLP, LLMs, or generative AI systems - Familiarity with vector databases or embeddings - Exposure to MLOps tools (MLflow, Docker, Kubernetes, CI/CD pipelines) - Experience in AWS, Azure, or GovCloud environments - Knowledge of data governance and secure development practices - Prior internship or project experience in AI/ML - Active security clearance (if applicable) Required Skills: Python, Machine Learning, Data Engineering Important Skills: ML Libraries, MLOps Tools Nice-to-Have Skills: Basic Statistics, Problem-Solving, Team Collaboration Benefits: Comprehensive Health Benefits package, 401K Retirement plan, Paid Time Off benefit, 11 paid holidays a year, Flexible work options