AI/ML Engineer
Build, train, and deploy machine learning models.
Role Overview
AI/ML Engineers are responsible for designing, training, and deploying machine learning models into production systems. They bridge the gap between data science (research) and software engineering (production).
A Day in the Life
A typical day involves cleaning datasets, experimenting with different neural network architectures in PyTorch, tuning hyperparameters, and optimizing trained models for efficient inference on GPUs.
Why This Career Matters in 2026
As organizations move beyond relying solely on external APIs, they need engineers capable of training custom models, fine-tuning open-source models, and managing data pipelines.
How Our Fellowship Prepares You
Stage 1 of the fellowship provides the deep mathematical and coding foundations required for this role, ensuring you understand how models learn from the ground up.
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Salary Expectations
Source: Industry estimates, 2026
Market Snapshot
- Consistently ranked as one of the fastest-growing jobs on LinkedIn.
Start this career path
Join the builder fellowship to acquire the foundational skills for this role.
Apply for FellowshipFellowship Skills Required For This Role
Our curriculum is specifically designed to provide these exact foundational skills.