Develop and optimize novel AI and ML algorithms tailored to scientific challenges, integrating domain knowledge to ensure results are actionable and relevant
Design, validate, and deploy end-to-end machine learning and AI workflows in cloud environments to address complex analytical needs across the organization
Collaborate with cross-functional teams to design efficient frameworks for data preparation, feature engineering, model selection, and outcome interpretation across data sources
Build tools and infrastructure to enable seamless experimentation, rapid model iteration, and reproducibility of scientific AI and ML experiments
Scale AI and ML solutions using advanced techniques such as distributed computing, cloud environments, including Azure, Databricks, and containerized deployments
Implement automated pipelines for training, validating, and deploying models into production with rigorous monitoring and evaluation processes
Develop containerized applications and APIs for exposing AI and ML model capabilities, ensuring accessibility and interpretability for stakeholders
Identify and introduce state-of-the-art AI and ML techniques and tools such as explainable AI (XAI), reinforcement learning, and probabilistic modeling to enhance research outcomes and operational decision-making
Support collaboration with data scientists, researchers, and engineers to bridge the gap between foundational AI and ML research and deployed, impactful applications

Requirements

4+ years of experience with Object-Oriented Programming (OOP)
3+ years of experience developing AI and ML models and solutions using distributed and cloud technologies, including Azure or Databricks
3+ years of experience developing, validating, and deploying scientific AI and ML workflows, including data preparation, model training, and model monitoring
Experience building containerized applications, including API design and secure authentication
Knowledge of AI and ML concepts, including supervised and unsupervised learning, statistical modeling, and deep learning methods
Ability to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements
Bachelor’s degree in a Computer Science or Data Science field

Benefits

health, life, disability, financial, and retirement benefits
paid leave
professional development
tuition assistance
work-life programs
dependent care
recognition awards program for exceptional performance

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

AI algorithmsML algorithmsmachine learningcloud computingdata preparationfeature engineeringmodel selectionmodel trainingmodel monitoringcontainerized applications

Soft Skills

collaborationcommunicationproblem-solvinginterpersonal skillsorganizational skills