Note: The job is a remote job and is open to candidates in USA. Parsons Corporation is a provider of solutions for defense, security, intelligence, infrastructure, and environmental missions, including support for US government customers. The company is seeking an AI/ML Engineer to develop and deploy machine learning models, data pipelines, and secure cloud-based AI capabilities for chemical and biological threat characterization. The role also involves model monitoring, explainability, compliance, knowledge graph development, and collaboration across multidisciplinary Agile teams.
Responsibilities
- Design, develop, and deploy AI/ML models and tools for data mining, predictive modeling, and knowledge discovery to enhance chemical and biological threat characterization
- Build and optimize automated data pipelines for semantic/contextual chunking, named entity extraction, vector embedding, and relationship extraction
- Integrate AI/ML-enabled capabilities into a secure, cloud-based data architecture, ensuring interoperability with existing systems via standardized APIs and the Model Context Protocol (MCP)
- Develop and maintain model cards documenting model purpose, training data, performance metrics, limitations, and ethical considerations
- Implement and monitor model performance, data/concept drift, and key metrics in real time; support model retraining and fine-tuning as new data becomes available
- Collaborate with data engineers, software developers, and stakeholders to define requirements, validate outputs, and support the creation of knowledge graphs and enriched data products
- Ensure all AI/ML workflows comply with DoD cybersecurity, data privacy, and access control requirements, including operation within isolated cloud environments
- Develop tools and dashboards for model explainability, transparency, and user interaction with AI/ML outputs
- Participate in Agile sprints, contribute to backlog refinement, and support documentation for AI/ML components
- Assist in knowledge transfer and training activities, including the development of tutorials and best practices for AI/ML usage
Skills
- Active Secret or higher security clearance
- Bachelor's degree in Computer Science, Data Science, Machine Learning, or a related technical field
- 3-8 years of experience developing and deploying AI/ML models in production or enterprise environments
- Proficiency with AI/ML frameworks and libraries (e.g., LangChain, LlamaIndex, TensorFlow, PyTorch)
- Experience building and maintaining data pipelines for machine learning, including data preprocessing, feature engineering, and model deployment
- Strong programming skills in Python or similar languages
- Experience with cloud platforms (e.g., AWS, Azure) and cloud-native AI/ML services
- Familiarity with RESTful APIs and integrating AI/ML models into larger software systems
- Understanding of data security, privacy, and access control best practices
- Experience working in Agile development environments and collaborating with multidisciplinary teams
- Strong analytical, problem-solving, and communication skills
- Master's degree in Data Science, Machine Learning, or a related field
- Experience with large language models (LLMs), vector/semantic search, and advanced NLP techniques
- Familiarity with DoD cybersecurity and data governance standards (e.g., NIST SP 800-171, STIG, RMF)
- Experience developing AI/ML solutions for knowledge graph construction and ontology-based reasoning
- Experience with model explainability, bias detection, and ethical AI practices
- Experience with containerization (Docker, Kubernetes) and secure model deployment
- Experience integrating AI/ML solutions in classified environments (e.g., SIPR, JWICS)
- Prior experience supporting government or defense-related AI/ML projects
Benefits
- Medical
- Dental
- Vision
- Paid time off
- Employee Stock Ownership Plan (ESOP)
- 401(k)
- Life insurance
- Flexible work schedules
- Holidays
- Endless growth opportunities
Company Overview