Commotion
Create a free account
One signup unlocks everything for this job:
- See your personalized profile match score
- See the skills this role is missing for you
- Apply to this job and track your application
- Generate an AI cover letter for this role
1 to 50 Employees
Hiring: Engineering
What employees say
+ Good place to grow and learn
− Need more involvement of management.
More reviews on the company profile.
Interview experience · Backend Engineer
4 Rounds 2 DSA round 2 Machine coding round 1 informal talk Leetcode questions Array and linkedList Parking lot and Employee system for salary and data management some core java concepts
Average difficulty · India · 1 reports
More interview insightsJob description
Overview
Commotion builds an AI operating system for large enterprises, and at the centre of it is a context graph: a live model of an organisation’s entities, the relationships between them, and the decisions taken across them, assembled from the systems that already run the business.
Responsibilities
- Translate a client’s business problem into a machine learning problem. Sit with the people who own the outcome, work out what decision is being made and what it costs to get wrong, then decide what the model predicts, what the label is, and how the prediction reaches the decision. Say so when the answer is not a model at all.
- Set the business metric and the model metric separately, and keep them connected. A lift in AUC that moves nothing operationally is a failed project here.
- Profile the data before modelling it. Work out what is trustworthy, what is abandoned, what is quietly wrong. Establish a baseline before proposing anything learned.
- Engineer features from warehouse and graph data, and keep them consistent between training and serving.
- Build the models: classification and regression, propensity and churn, lookalike and audience expansion, ranking and recommendation, unsupervised clustering and segmentation, anomaly and exception d
Verify Engineering for this role
Free PRACTICE for Engineering adds a verified skill signal that can boost how roles like this rank for you — optional, not required to browse or apply.
Sign up — verify Engineering free →Want match scores and deeper insight? Create a free candidate profile
Job application FAQ
Last updated 20 October 2026
- How do I apply for Hiring: Senior Machine Learning Engineer Mysuru (India) at Commotion?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. Commotion may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this Hiring: Senior Machine Learning Engineer Mysuru (India) role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is Hiring: Senior Machine Learning Engineer Mysuru (India) remote or on-site in Mysuru, Karnataka?
- This listing is marked on_site with location Mysuru, Karnataka. Confirm details on the job description before applying.
- What skills matter for this Hiring: Senior Machine Learning Engineer Mysuru (India) role at Commotion?
- This is a senior Hiring: Senior Machine Learning Engineer Mysuru (India) role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.