Human-centered innovation partner, crafting impactful user experiences for government and commercial sectors
Machine Learning/AI Engineer
Location
United States
Posted
24 days ago
Salary
$135K - $145K / year
Seniority
Senior
Job Description
Machine Learning/AI Engineer
Element
• Develop and deploy at least three (3) production-grade AI/ML models, including use cases such as predictive maintenance, anomaly detection, classification, forecasting, or optimization. • Design, build, and maintain end-to-end machine learning pipelines, including data preprocessing, feature engineering, model training, evaluation, and deployment. • Apply deep expertise in PyTorch and/or TensorFlow to develop and fine-tune advanced machine learning and deep learning models. • Implement and support scalable model serving architectures, ensuring high availability, low latency, and secure inference in production environments. • Collaborate with data engineers to access, transform, and prepare large-scale datasets for model training and inference. • Partner with product owners, analysts, and stakeholders to translate business requirements into machine learning solutions. • Monitor model performance in production, including drift detection, accuracy tracking, and retraining strategies. • Ensure compliance with federal security, privacy, and governance standards in all AI/ML implementations. • Participate in Agile development cycles, including sprint planning, design reviews, and technical demonstrations. • Document model architectures, training methodologies, and deployment processes for maintainability and auditability.
Job Requirements
- Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, Engineering, Mathematics, or related field (or equivalent experience).
- 3+ years of experience in machine learning, data science, or AI engineering roles.
- Proven experience delivering production-grade machine learning models in real-world environments.
- Expert proficiency in Python and ML frameworks (scikit-learn, TensorFlow, PyTorch).
- Advanced SQL development experience, including complex queries, performance tuning, and data transformation logic.
- Experience leveraging Large Language Models (LLMs) in development.
- Understanding of core concepts such as context windows, prompt design, and input/output structures, with the ability to apply AI tools effectively in building and enhancing solutions.
- Experience building and deploying models using scalable serving frameworks (e.g., REST APIs, containerized deployments, or cloud-based inference services).
- Experience working with large-scale structured and unstructured datasets.
- Strong understanding of machine learning concepts including supervised/unsupervised learning, deep learning, model evaluation, and feature engineering.
- Experience working in the federal government or other highly regulated environments with security and compliance requirements.
- Strong analytical and problem-solving skills.
- Ability to communicate complex technical concepts to non-technical stakeholders.
- Strong collaboration skills across engineering, data, and product teams.
- Ability to work independently in a fast-paced, mission-driven environment.
- High attention to detail with a focus on model reliability and production readiness.
- US Citizenship or Permanent Residency required.
- Must reside in the Continental US.
- Depending on the government agency, specific requirements may include public trust background check or security clearance.
Benefits
- health care
- dental
- vision
- life insurance
- 401(k)
- paid time off including PTO, holidays, and any other paid leave required by law
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