Senior Machine Learning Engineer 5+years — Detection (Hyderabad)

Senior Machine Learning Engineer 5+years — Detection (Hyderabad)

20 Aug
|
Crafter
|
Hyderabad

20 Aug

Crafter

Hyderabad

NOVA · AIRA
Machine Learning Engineer — Detection & Intervention Systems
Full-time · Hyderabad (in office/hybrid) · Reports to Founder & CEO
Who we are
Nova is a bootstrapped, pre-seed startup building AIRA — an execution intelligence layer that sits inside Slack, Google Workspace, and Microsoft Teams. AIRA detects communication breakdowns inside a team before they become delivery failures, and does it quietly, without turning into another dashboard or another bot that gets muted.
We are six people, bxxased out of T-Hub in Hyderabad, part of the Google for Startups India Hub. No layers, no politics, no committee decisions — everyone here owns outcomes end to end.

The problem we're solving
Most teams don't fail because of one dramatic event. They fail slowly — a clarification loop that repeats three times, a decision that never quite lands, a thread that goes quiet at the worst moment. Jira tracks what was planned. HR tools measure how people feel, after the fact. Nobody sits in the middle, watching the actual conversation, and asking: is work breaking down here,



or is a person breaking down here — or both?
AIRA is built on two pillars:
Execution friction — clarification loops, stalled decisions, ownership gaps, blocked work.
Emotional friction — disengagement, overload, tone shifts, boundary erosion.
Every signal AIRA produces resolves to three layers: the raw Signal observed, the Interpretation of what it likely means, and the Impact — why it matters for delivery or for the person. We lead every conversation with execution, because that's what gets us in the door. The emotional layer is what makes teams stay. This engineer will be building the machinery underneath both.

What you would actually be building
This is not a "plug an LLM into everything and see what happens" role. AIRA's detection system leads with fast, explainable, rule-based and NLP logic, and calls on machine learning selectively — only where deterministic logic genuinely runs out of precision. At a

📌 Senior Machine Learning Engineer 5+years — Detection (Hyderabad)
🏢 Crafter
📍 Hyderabad

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