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Associate AI/ML Engineer, Gradient Specialist

66degreesChicago🇺🇸United StatesPosted Oct 8, 2026

Quick Overview

Seniority
Mid Senior
Work mode
Hybrid
Location
Chicago, United States
Posted
11 hours ago
GCPSpringGoogle CloudPythonSourcing

Job Description

Overview of 66degrees

66degrees is an end-to-end AI transformation partner that guides enterprises from complex business challenges to clear, quantifiable outcomes. Our company is the culmination of several successful firms, each a leader in its own right in cloud, artificial intelligence, and data. This convergence of talent and expertise is how we help businesses reach their own "inflection point," where chaotic data becomes a strategic asset, complexity becomes clarity, and AI becomes an engine for growth. Our ultimate vision is to be the catalyst for a future where every business operates as an intelligent enterprise, with autonomous systems unlocking human potential.

At 66degrees, we believe in thriving through challenges and winning together. These values not only guide us in achieving our goals as a company but also for our people. We are dedicated to creating a significant impact for our employees by fostering a culture that sparks innovation and supports professional and personal growth along the way.

Role Overview

Gradient Specialist Program is our differentiator training program that focuses on preparing recent graduates for their careers in technology consulting.  Learning from our very own Google Cloud Certified experts, we nurture your talent and accelerate your learning through structured training, hands-on building, and mentorship. 

Completing this program means you are a Google Cloud Certified 66degrees Specialist prepared for your career with the fastest-growing Google Premier Partner. Are you ready to become our next GCP Specialist?

This exciting opportunity is based out of our Downtown Chicago office.

Responsibilities 

A Gradient Specialist’s responsibilities and duties are as follows:

  • Complete the Gradient Development Program training. 
  • Pursue and obtain Google Cloud Platform Certifications based on your matched career track.  
  • Work with technical and business leads to transfer global business requirements into sound solutions. 

Qualifications 

  • Currently pursuing a Bachelor’s Degree in Computer Science, Statistics, Data Science or similar, graduating in Spring 2027.
  • Programming or scripting experience in any language, Python preferred.
  • Experience with AI/ML, Data Analytics, or Data Science.
  • Strong interpersonal, verbal, and written communication skills.
  • Ability to use analytical skills to solve complex problems.
  • Strong organizational skills including the ability to prioritize, handle multiple projects simultaneously, and meet deadlines.
  • Self-motivated and able to work independently or as part of a team.
  • Ability to commit to our Gradient Specialist Program and the technical career that follows.  

Base salary packages are based on function, candidate skill set, education, and relevant experience. 

US Base Salary Range
$75,000—$80,000 USD

Please note, we cannot sponsor or transfer any visas, of any kind, at this time.

66degrees is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to actual or perceived race, color, religion, sex, gender, gender identity, national origin, age, weight, height, marital status, sexual orientation, veteran status, disability status or other legally protected class.

AI Transparency & Disclosure

As an AI transformation partner, 66degrees leverages intelligent solutions to enhance our recruitment experience. We utilize AI tools—including LinkedIn Recruiter’s Hiring Assistant and interview transcription technologies—to assist with sourcing, role analysis, and capturing interview highlights.

These tools augment our process, but we "Commit to Our Craft" by ensuring all final hiring decisions are made by our human Talent Team. By applying, you acknowledge the use of these technologies to help us "Win Together" in finding the best fit for our team.

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