As an AI/Machine Learning Engineer, you will lead the development and deployment of advanced machine learning models and AI solutions. You will collaborate with cross-functional teams to drive innovation and deliver impactful AI-driven products. You’ll apply AI/ML expertise to solve meaningful challenges in federal programs, driving innovation in healthcare, veterans’ services, and more.
What you’ll bring:
- 5+ years of experience in software and machine learning engineering.
- 3+ years of experience leading cross-functional AI/ML teams.
- Strong knowledge of natural language processing (NLP) and transformer models.
- Proficiency in Python and hands-on experience with ML libraries like TensorFlow, PyTorch, or Hugging Face Transformers.
- Expertise in the full ML pipeline, including data processing, model training, serving, and monitoring.
- Knowledge of NLP architectural strategies such as Retrieval-Augmented Generation, Knowledge Graphs, and Agentic Graphs.
- Proven experience building scalable, cloud-based AI/ML solutions on AWS, GCP, or Azure.
- Familiarity with Agile and DevSecOps methodologies for AI/ML development; AI/ML cybersecurity experience is a bonus.
- Understanding of ethics in AI, including bias mitigation, fairness, privacy (PII/PHI), and the ability to implement explainable AI techniques to ensure transparency and trust in AI-driven decisions.
- Experience fine-tuning pre-trained models for specific business use cases.
- Expertise in MLOps best practices, including Infrastructure as Code (IaC), CI/CD pipelines tailored for ML workflows, model version control, and real-time performance monitoring to ensure scalable and reliable AI/ML systems.
- Familiarity with NLP metrics and benchmarking utilities such as BERTScore, ROUGE, or METEOR.
- Familiarity with federal AI governance frameworks and compliance standards (e.g., NIST AI RMF, FedRAMP) is a plus.
- Strong communication skills for effectively engaging both technical and non-technical stakeholders.
- Passion for staying up-to-date with industry trends, emerging technologies, and evolving federal government standards.
- Experience engineering products in federal environments or on government contracts; experience with the Securities & Exchange Commission (SEC) is a significant advantage.
Requirements:
- Must be a US Citizen and able to work domestically
- Must be able to attain low-level security clearance
Education:
- Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, or a related field. Ph.D. in a relevant field or equivalent experience is a plus.
Benefits:
- Fully remote
- Annual stipend
- Comprehensive Benefits Package
- Company Match 401(k) plan
- Flexible PTO, Paid Holidays