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AHEAD

Associate AI Engineer

AHEAD

. Complete a 3-month training program within the Digital Solutions Group focused on data solutions .

Posted 9/18/2026full-timeChicago • Illinois • United StatesJuniorMid-Level💰 $88,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates proficiency in AI/ML fundamentals, including model types and data pipelines, alongside strong technical skills in Python and familiarity with cloud platforms. Excels in communication, collaboration, and problem-solving to deliver successful project outcomes.

Highest-signal resume keywords
AI/ML FundamentalsPython ProficiencyGenAI Tooling FamiliarityMLOps Concepts UnderstandingCloud Platform Exposure

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
AI/ML FundamentalsPythonFastAPIFlaskMLOpsGitDVCCI/CDData PipelinesInference Workflows
Soft Skills
CommunicationTeamworkProblem-Solving
Tools & Technologies
OpenAIAnthropicGeminiPineconeFAISSWeaviateAWSAzureGCPDocker
Industry Keywords
Data SolutionsProject DeliveryCritical ThinkingTechnical DisciplineWork Authorization

Tech Stack

Tools & technologies
AWSAzureCloudDockerFlaskGoogle Cloud PlatformKubernetesPython

About the role

Key responsibilities & impact
  • Complete a 3-month training program within the Digital Solutions Group focused on data solutions
  • Develop technical and consulting skills through training, certifications, and shadowing
  • Work on client projects after LAUNCH based on skills, personal interests, and business needs
  • Communicate effectively across teams and build positive relationships
  • Collaborate on projects and contribute to successful project delivery
  • Solve complex problems and make recommendations using sound reasoning and critical thinking
  • Execute work, manage competing priorities, and deliver to deadlines

Requirements

What you’ll need
  • Working knowledge of AI/ML fundamentals, including model types (transformers, embeddings, diffusion), data pipelines, and inference workflows
  • Proficiency in Python, with exposure to frameworks such as FastAPI and Flask
  • Familiarity with GenAI tooling, including OpenAI, Anthropic, and Gemini
  • Familiarity with vector stores such as Pinecone, FAISS, and Weaviate
  • Exposure to AWS, Azure, or GCP
  • Exposure to Docker and Kubernetes
  • Understanding of MLOps concepts, including Git, DVC, CI/CD, observability, and deployment best practices
  • Experience in academic or personal AI/ML projects, an internship or co-op in software or data engineering, or a technical bootcamp or certificate program in AI, ML, or cloud computing
  • U.S. work authorization required
  • Graduated with a degree in a technical discipline by 1/11/26, or successfully completed a technical-related bootcamp
  • Excellent communication, teamwork, and problem-solving abilities

Benefits

Comp & perks
  • Medical, Dental, and Vision Insurance
  • 401(k)
  • Paid company holidays
  • Paid time off
  • Paid parental and caregiver leave
  • Technical training
  • Completion of certifications
  • Shadowing
  • Cross-department training and development
  • Sponsorship of certifications and credentials for continued learning