ML/AI Engineer

An ML/AI engineer develops and ships machine learning systems: from data preparation and model training to production inference and MLOps. The specialist works with classical ML, deep learning and LLM applications (RAG, fine-tuning, agentic systems), evaluates model quality and watches for degradation in production. They are proficient in Python, PyTorch/TensorFlow and tools for serving models under load.

8 skills 2 experts

Specialization Skills

Experts

Specialists who verify skills within this specialization

Questions and answers

What does a ML/AI Engineer do?
An ML/AI engineer develops and ships machine learning systems: from data preparation and model training to production inference and MLOps. The specialist works with classical ML, deep learning and LLM applications (RAG, fine-tuning, agentic systems), evaluates model quality and watches for degradation in production. They are proficient in Python, PyTorch/TensorFlow and tools for serving models under load.
What skills are included in the ML/AI Engineer specialization?
The specialization includes 8 skills — the full list with proficiency levels is on this page. The skill set is aligned with the association tech radar.
How to verify a ML/AI Engineer qualification with the association?
Apply for membership at the SmartSNG.Dev association and pass the skill check: specialization experts assess your proficiency in each skill and verify the qualification on your public profile.
How much do membership and certification cost?
Association membership is free — no fees or subscriptions. Skill checks are conducted by association experts.

How to verify your qualification

  1. 1. Apply for membership

    Joining the association is free: fill in the application form, the admissions committee reviews it within a week.

  2. 2. Pass the skill check

    Association experts in this specialization assess your skills and proficiency level in each of them.

  3. 3. Get verified

    Verified skills and levels are displayed on your public member profile.