Scientific Programmer IV

• Architect modern data platforms (data lakes, lakehouses, warehouses) to support analytics and AI/ML workloads.

• Define and implement enterprise AI/ML platform strategy, including model lifecycle, feature stores, and deployment pipelines.

• Establish AI/ML architecture standards, patterns, and best practices.

• Collaborate with scientists and IT to align data and AI capabilities with organizational goals.

• Provide technical leadership, mentorship, and architectural guidance to engineering and data science teams.

• Develop and optimize algorithms for high-performance computing environments.

• Design scalable data pipelines for scientific datasets.

• Architect containerized scientific workflows.

• AI/ML Depth: Build, train, and deploy machine learning models, Work with large-scale datasets for predictive modeling, Optimize model performance in distributed environments

• Performs other job-related duties as assigned

• Coding/Scripting: Python (NumPy, Pandas); R ecosystem (tidyverse, ggplot2), experience with libraries/frameworks such as PyTorch, TensorFlow, Scikit-Learn.

• AI/ML: Experience with Computer Vision, NLP, Large Language Models (LLMs), and core algorithms (Linear Regression, Decision Trees, Clustering).

• Cloud & DevOps: Hands-on experience in Azure (preferred) and/or AWS; containerization (Docker), orchestration (Kubernetes), Infrastructure-as-Code (Terraform, Ansible).

• MLOps: Model deployment, pipeline automation, monitoring, and lifecycle management (e.g., Azure ML Studio or similar platforms).

• Operating Systems: Strong proficiency in Linux (command line, file systems, permissions, shell scripting).

• Tools: Jupyter Notebook, VSCode, Git (version control and collaboration).

Required Qualifications

• Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or related field.

• Strong experience with cloud platforms (AWS, Azure, GCP).

• Hands-on experience with modern data platforms

• Experience designing and supporting AI/ML workflows and platforms.

• Must pass pre-employment requirements of Cherokee Federal.

Preferred Qualifications

• Experience with Azure preferred - all acceptable if well-versed in cloud technologies

• Experience building enterprise AI/ML platforms or centers of excellence.

• Domain expertise in scientific, or large-scale enterprise data systems.

• Knowledge of data governance, security, and compliance frameworks is preferred but not required.

• Mathematics or Statistics background is preferred but not required.

This position requires an active Public Trust clearance or the ability to obtain a Public Trust clearance to be considered.

Cherokee Nation System Solutions, LLC is seeking a visionary Cloud Data & AI/ML Architect to lead the strategic design and modernization of enterprise data and AI platforms in complex cloud environments. This senior role requires expertise in cloud architecture, advanced data platform design, and AI/ML strategy to build scalable, secure, and intelligent systems for high-performance computing, advanced analytics, operational efficiency, and machine learning.

Compensation & Benefits:

Estimated Starting Salary Range for Scientific Programmer IV: $115,000 - $122,000

Pay commensurate with experience.

Full time benefits include Medical, Dental, Vision, 401K, and other possible benefits as provided. Benefits are subject to change with or without notice.

Cherokee Nation System Solutions (CNSS) is a part of Cherokee Federal - the division of tribally owned federal contracting companies owned by Cherokee Nation Businesses. As a trusted partner for more than 60 federal clients, Cherokee Federal LLCs are focused on building a brighter future, solving complex challenges, and serving the government's mission with compassion and heart. To learn more about CNSS, visit cherokee-federal.com.