DevOps System Administrator (AI/ML Infrastructure) - TS/SCI with CI Poly – Scottsdale, AZ

DevOps System Administrator (AI/ML Infrastructure)

📍 Location: Scottsdale, Arizona
🏢 Work Environment: 100% Onsite
💼 Employment Type: Full-Time
🛡️ Security Clearance Required: Active DoD TS/SCI with Polygraph
✈️ Travel: Occasional
🚫 Visa Sponsorship: Not Available

💰 Compensation & Benefits

• Base Salary: $126,000 – $150,000

• Full Benefits Package

• Relocation Assistance Available

• No commission or overtime eligibility

🚀 Position Overview

A leading defense technology organization is seeking an experienced DevOps System Administrator to support and optimize advanced Artificial Intelligence and Machine Learning (AI/ML) infrastructure within a highly secure classified environment.

This role will focus on building, maintaining, and automating enterprise-scale infrastructure supporting AI model development, training, testing, and deployment. The successful candidate will work closely with Data Scientists, ML Engineers, and Infrastructure Teams to ensure scalable, secure, and high-performing environments.

This is an excellent opportunity to work on mission-critical technologies supporting national security initiatives while leveraging cutting-edge AI, cloud-native, and automation technologies.

🔧 Key Responsibilities

AI/ML Infrastructure Management

• Design, implement, and maintain scalable infrastructure for AI/ML model training and inference

• Manage GPU resources and high-performance computing environments

• Support machine learning development and deployment workflows

• Collaborate with Data Scientists and ML Engineers to streamline model development through production

DevOps & Automation

• Develop and manage CI/CD pipelines for AI applications and ML models

• Automate:

• Infrastructure provisioning

• Configuration management

• Deployment processes

• Utilize Infrastructure as Code (IaC) tools including:

• Terraform

• Ansible

Containerization & Orchestration

• Deploy and manage containerized environments using:

• Docker

• Kubernetes

• Scale and optimize AI/ML services within secure enterprise environments

Linux & Systems Administration

• Administer Linux-based operating systems and virtualized server environments

• Perform:

• Server configuration

• Performance tuning

• Patch management

• Troubleshooting

• Monitoring

• Support both physical and virtual infrastructure environments

Monitoring & Operational Support

• Implement monitoring, logging, and alerting solutions

• Analyze system alerts and perform root-cause investigations

• Create scripts to automate repetitive administrative tasks

• Troubleshoot networking, storage, and server-related issues

Technical Leadership

• Serve as a subject matter expert for server and infrastructure operations

• Mentor team members and provide technical guidance

• Support system design, analysis, and continuous improvement initiatives

• Identify opportunities to leverage AI and automation for operational efficiency

✅ Required Qualifications

Education

• Bachelor’s Degree in:

• Computer Science

• Related technical field

• OR equivalent experience

OR

• Master’s Degree with 6+ years of relevant experience

Experience

• 7–10 years of relevant systems administration, infrastructure, or DevOps experience

• Strong enterprise server administration background

• Experience supporting large-scale production environments

• Advanced Linux administration skills

• Experience supporting virtualized infrastructure environments

🔒 Clearance Requirements (Mandatory)

✔ Active DoD TS/SCI with Polygraph required at time of hire
✔ U.S. Citizenship required
✔ Clearance must be active and current
❌ No sponsorship available
❌ No clearance reinstatement candidates

🛠️ Required Technical Skills

✔ Linux Administration
✔ Docker
✔ Kubernetes
✔ AI/ML Infrastructure Support
✔ CI/CD Pipeline Management
✔ Infrastructure as Code (Terraform, Ansible)
✔ Virtualization Technologies
✔ Enterprise Server Support
✔ Networking & Storage Troubleshooting
✔ Automation & Scripting

⭐ Preferred Qualifications

• Experience supporting AI/ML development environments

• GPU resource management experience

• High-performance computing environments

• Cloud-native infrastructure experience

• Container orchestration at enterprise scale

• Experience within classified or defense environments

🎯 Ideal Candidate

The ideal candidate is a highly technical infrastructure professional with deep Linux expertise, strong containerization skills, and experience supporting AI/ML environments in secure enterprise settings.

They will bring:

• Active TS/SCI Poly clearance

• Strong Docker and Kubernetes experience

• Advanced troubleshooting capabilities

• Enterprise systems administration expertise

• Automation and DevOps mindset

• Ability to work independently and collaboratively

• Passion for emerging technologies and AI-driven innovation

📋 Screening Questions

1. Do you have hands-on Linux administration experience?

2. Do you have experience with Docker, Kubernetes, or similar container platforms?

3. Are you comfortable working onsite full-time in Scottsdale, AZ?

4. Do you currently hold an active DoD TS/SCI with Polygraph clearance?

📌 Candidate Snapshot

Requirement

Details

Experience

7–10 Years

Seniority

Mid-Senior

Industry

Defense / Technology

Education

Bachelor’s Degree or Equivalent

Clearance

Active TS/SCI Poly Required

Work Model

100% Onsite

Travel

Occasional

Relocation

Available

🌟 Why Join

Award-Winning Culture

• Recognized as a Gallup Exceptional Workplace

• Strong employee engagement and retention

• Average employee tenure of 12 years

Work-Life Balance

• Flexible 9/80 schedule

• Every other Friday off

• Generous PTO and parental leave

Outstanding Benefits

• 401(k) with company match and immediate vesting

• Comprehensive medical, dental, and vision coverage

• Tuition assistance and professional development support

Meaningful Work

• Support cutting-edge technologies including:

• Artificial Intelligence

• Cloud Native Platforms

• Advanced Cyber Systems

• National Security Programs

Collaborative Environment

• Strong engineering culture

• Low micromanagement

• High autonomy and ownership

• Opportunities to innovate and contribute to mission-critical solutions

This role offers the opportunity to combine advanced DevOps expertise with next-generation AI technologies while supporting some of the most important missions in the defense and intelligence community.

Sr. Director, AI & Data Science | $190K–$300K + Bonus | Wayzata, MN (Hybrid)

Sr. Director, AI & Data Science

📍 Location: Wayzata, Minnesota, United States (Hybrid – scheduled work from home days)
💼 Industry: Information Technology
📊 Category: Business Intelligence
📌 Job Type: Full-time | Onsite with WFH flexibility
💲 Compensation: $190,000 – $300,000 + bonus eligibility
📈 Relocation Assistance: Possible for ideal candidate

About the Company

Our company’s size and scale allow us to make a positive global impact. We are a family company providing food, ingredients, agricultural solutions, and industrial products that are vital for living. With 160,000 colleagues across 70 countries, we connect farmers, customers, and families with essentials every day.

Job Purpose

The Sr. Director of AI & Data Science is a visionary leader responsible for driving high-impact AI applications across the business. This role partners with executives to identify opportunities where AI can provide strategic advantage, shaping how data science transforms decision-making, operations, and customer experience.

The leader will:

• Champion responsible AI practices (governance, risk mitigation, ethics).

• Deliver measurable business outcomes from AI investments.

• Lead and scale a global team of data scientists (transitioning from regional to global scope).

Key Responsibilities

• Partner with business leaders to identify and accelerate AI opportunities.

• Translate complex AI concepts into business-focused narratives for executives.

• Provide strategic oversight of AI product delivery (scope, timeline, budget).

• Champion innovation, continuous improvement, and AI adoption across the business.

• Develop a community of practice for global data scientists to drive reuse and alignment.

• Build and maintain strategic partnerships and alliances to maximize value.

• Lead, coach, and develop a team of 16+ data scientists in an inclusive culture.

• Manage large budgets, ensure measurable ROI, and deliver against business value targets.

Minimum Qualifications

• Bachelor’s in Data Science, Computer Science, Math, Engineering, or related field (or equivalent experience).

• 8+ years of related work experience.

• Experience with at least two machine learning approaches: supervised, unsupervised, reinforcement learning.

• Proven ability to present complex AI solutions to non-technical audiences.

Preferred Qualifications

• Master’s or PhD in Data Science, Computer Science, Math, Engineering, or related field.

• 5+ years of leadership experience (managing teams of data scientists).

• Experience driving enterprise-wide analytics adoption.

• Familiarity with CI/CD pipelines, distributed computing frameworks, and AWS.

• Background in software development/version control.

• Strong business acumen and experience presenting to senior executives.

• Experience in Agriculture or related industries is a plus.

Compensation & Benefits

💲 Base Salary: $190,000 – $300,000
🎯 Bonus Eligible: Yes
🏥 Comprehensive health & wellness benefits
🍼 14 weeks parental leave + prevention & wellness programs
🌎 Sick & Safe Leave: 1 hour for every 30 worked (up to 48 hours annually, unless otherwise required by law)

Candidate Profile

• 7–10+ years’ experience in AI, Data Science, and Analytics.

• Proven ability as a strategic champion to drive AI adoption at scale.

• Leadership experience managing diverse data science teams.

• Strong emotional intelligence (EQ) and collaborative leadership style.

• Comfortable influencing senior executives and non-technical stakeholders.

✅ Security Clearance Required: No
✅ Visa Candidates Considered: No
✈️ Travel: Occasional

Senior / Lead Machine Learning Engineer | Python, PyTorch, AI | Fully Remote | $180,000–$215,000

Senior / Lead Machine Learning Engineer

🌍 Location: Fully Remote
💼 Employment Type: Full-time
💰 Compensation: $180,000 – $215,000 (base salary, depending on experience)
📊 Benefits: Full package included

About the Role

We’re seeking a Senior/Lead ML Engineer to drive the development of advanced enterprise AI and intelligent data applications. This is a hands-on role that combines machine learning, data engineering, and software development to deliver practical, production-ready solutions with measurable impact.

If you’re excited about tackling complex engineering challenges in high-standard environments, this role offers strong career growth opportunities, including senior technical leadership pathways.

Key Responsibilities

• Lead platform upgrades to ensure products remain cutting-edge and effective.

• Design and manage dynamic dashboards using Python SDKs to turn data into actionable insights.

• Optimize data pipelines and access patterns for performance and scalability.

• Troubleshoot and resolve runtime and performance challenges.

• Architect robust, scalable, and user-friendly applications designed for long-term growth.

• Collaborate closely with Product Managers to improve usability and ensure real-world impact.

What You Won’t Do

❌ Work in silos – this role requires versatility across ML, data systems, and software engineering.
❌ Focus solely on research without real-world implementation.

Tech Stack

• Languages & Tools: Python (primary), Docker, Git

• Libraries & Frameworks: pandas, numpy, scikit-learn, PyTorch

• Systems & Processes: CI/CD pipelines, monitoring tools, testing frameworks

Requirements

✅ 4+ years of professional Python software engineering with experience in production ML deployment (beyond prototyping).
✅ Proven experience with the end-to-end ML lifecycle: model development → deployment → monitoring.
✅ Strong production systems background in rigorous engineering environments (Big Tech or top-tier startups preferred).
✅ Bachelor’s degree in Computer Science from a top 15 university (Ivy League, Stanford, MIT, CMU, etc.).
✅ U.S. Citizenship and ability to obtain a government security clearance.

Preferred Qualifications

• Experience in defense-related applications.

• Exposure to multiple programming languages and diverse tech stacks.

Soft Skills

• Strong written and verbal communication.

• Pragmatic approach with a focus on delivering incremental value.

• Collaborative, with the ability to mentor and influence peers.

Candidate Profile – Not a Fit If

🚫 Job hopper (<2 years per role).
🚫 Focused mainly on research/data science without production deployment.
🚫 Strong theoretical ML background but lacking hands-on implementation.
🚫 No experience with CI/CD, monitoring, or scalable architecture.
🚫 Consulting/contract-heavy career history.

Compensation & Benefits

💰 Base Salary: $180,000 – $215,000
📦 Benefits: Comprehensive full package
🛫 Travel: Occasional, interview travel reimbursed
📍 Relocation: Not available

👉 Ready to shape the future of AI-driven enterprise applications? Apply now and step into a role where your engineering expertise drives real-world innovation.