Compliance & NSQF mapping

The curriculum is built around the National Occupational Standards rather than retrofitted to them. Every NOS is delivered by a named subject and assessed by a named instrument.

Anchor qualification

Qualification PackSSC/Q8113 — AI - Machine Learning Engineer (v2.0)
NSQF level7
Awarding bodyIT-ITeS Sector Skill Council (NASSCOM)
NCO alignmentNCO-2015 / 2512
Sector / occupationIT-ITeS / Future Skills · Artificial Intelligence & Big Data Analytics
Statutory core480 h (Model Curriculum v3.0): 144 theory + 246 practical + 90 OJT
Pass standard70% aggregate; ≥70% on each technical NOS

National Occupational Standards coverage

NOSTitleTypeTheoryPracticalQP weightDelivered by
SSC/N8121Evaluate technical performance of algorithmic models Technical 3070 25%C02
SSC/N8122Develop software code to support deployment of algorithmic models Technical 2575 25%C05
SSC/N9001Manage your work to meet requirements Generic 2575 10%P01
SSC/N9002Work effectively with colleagues Generic 2080 10%P01, F02
SSC/N9004Provide data/information in standard formats Generic P01, F03, F05
SSC/N9006Build and maintain relationships in a workplace Generic P01
SSC/N9014Maintain an inclusive, environmentally sustainable workplace Generic 1020 P02

Statutory subjects

Open compliance items

To confirm before the first cohort:
  • Confirm the current live version of QP SSC/Q8113 and the Model Curriculum with the IT-ITeS Sector Skill Council — the published QP v2.0 carries review and deactivation dating of 2025.
  • Resolve the NSQF level reference: the Model Curriculum records the constituent NOS at Level 5 while the QP header states Level 7.
  • Register a fresher-appropriate companion qualification — SSC/Q8113 nominally expects a graduate with 2–3 years' experience.
  • Engage an SSC-empanelled assessment agency and certify trainers against the applicable Trainer QP.