Full Stack Engineer

About the role

The models shaping every industry are being built by engineers like you. In 9 weeks, go from data-aware developer to a production-ready AI/ML Engineer — paid from day one, trained on real tools, and deployed on Fortune 1000 client projects.

What you get

• Full-time W2 salary from day one
• Health, dental & vision insurance
• Corporate housing & relocation covered
• 401(k) eligibility after one year
• Fortune 1000 client exposure
• Dedicated support team & mentorship
• Performance bonuses
• 25+ years of placement expertise behind you

Required skills & qualifications

• Python: 1+ year of Python as a core part of your job — data analysis, automation, pipelines, or ML experimentation
• SQL: Proficient SQL — JOINs, aggregations, subqueries, and working with real databases or data warehouses
• Stats: Statistics foundation — probability, distributions, hypothesis testing, and understanding what data reveals
• Data: Hands-on data wrangling — cleaning, transforming, and handling messy real-world datasets in code
• Git: Git version control in a team setting — branching, pull requests, and collaborative code workflows
• APIs: REST API experience in Python — calling endpoints, parsing JSON, handling authentication
• OOP: OOP fundamentals — classes, inheritance, and interfaces used in real production or analysis code
• Location: Willingness to relocate to Atlanta, GA for training and travel to client sites for placements

Why this opportunity stands out

• Compresses years of picking up ML skills into 9 weeks of intensive, structured training
• Covers Python, statistics, deep learning, LLMs, cloud deployment, and MLOps
• Places you directly on paid client engagements with Fortune 1000 companies
• Leaves you with real enterprise AI/ML project experience
• End-to-end ML pipeline skills most engineers are still slowly self-teaching
• Hands-on LLM and generative AI experience that is in extremely short supply right now
• A clear, supported pathway to senior-level AI/ML placement