west all roles
applied intelligence
ml systems engineer.
location
bengaluru / remote (india)
type
full-time
comp
INR 45L–75L + equity
You will build the serving, evaluation, and observability layers that make enterprise ML actually ship. You will work across LLM and classical ML engagements, and you will own the platform decisions that determine whether a model lasts a quarter or a decade.
what you'll do
- chevron_right design and ship model-serving tiers with clear latency / cost budgets
- chevron_right build evaluation harnesses that run on every relevant pull request
- chevron_right own guardrails: PII redaction, refusal policies, output classification
- chevron_right design model gateways so clients can swap providers without rewrites
- chevron_right instrument inference so token cost and quality drift are first-class metrics
- chevron_right contribute to the firm-wide ML ops playbook
what we're looking for
- chevron_right 6+ years shipping production ML or LLM systems
- chevron_right deep comfort with at least one model-serving stack and one eval framework
- chevron_right strong distributed-systems instincts; ML is a subset, not a separate world
- chevron_right can work with product teams and translate business metrics into model metrics
- chevron_right pragmatic about provider choice; dogmatic about evaluation
- chevron_right excited about boring, reproducible systems
apply
send a short note and a link to your work (github, a writeup, or an architecture you're proud of) to the address below. we read every application and reply within a week.
apply via emailhello@arkavix.com