01 Oct
|
Pace Wisdom Solutions
|
Bengaluru
01 Oct
Pace Wisdom Solutions
Bengaluru
Job Description:
Role: Senior Machine Learning Engineer
Experience: 6-8 Years
Location: Bangalore - Hybrid
Models in production. Not notebooks.
Candidate Brief
Who We're Looking For
We're not hiring a coder. We're hiring an engineer. We want someone who genuinely loves solving
problems, thinks beyond the blocker in front of them, and reasons about the whole system rather than
just the file they happen to be editing.
If your instinct when hitting a wall is to find a way around, over, or through it and then tell the team
what you decided and why - keep reading.
What You'll Do
You'll own our propensity modelling and wider machine learning initiatives end to end - framing the
problem, building the features, training and validating the model, getting it into production, and keeping it healthy once real decisions depend on it.
This isn't a research seat. The value of a model here is what it changes in the product and the business, so
you'll care as much about the serving path, monitoring, and retraining loop as you do about offline model
lift.
You'll make architectural calls on features, training, deployment, and monitoring - and ship them. You'll
also work directly with product, data, and business stakeholders, communicating clearly, disagreeing well,
explaining models to non-technical audiences, and understanding the domain deeply.
What We Expect You to Be Robust At
Required
ML in production - Mandatory: You have taken models all the way into production and lived with them
afterwards - serving, monitoring, retraining, and the pager. Notebooks, Kaggle placings, and coursework
don't count on their own. You can talk about a model that degraded in the wild and what you did about it.
Propensity & customer modelling: Hands-on with propensity, churn, conversion, or similar customer outcome models. You know how to frame the target, handle heavy class imbalance, choose metrics that reflect the business decision rather than just AUC, and calibrate probabilities so a score
📌 Senior ML Engineer (Bengaluru)
🏢 Pace Wisdom Solutions
📍 Bengaluru