Back to Browse Jobs
Gravity Engineering Services Pvt Ltd
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
Delhi · On-site · 1-3 Yrs · Oct 2
3 open roles0 posted in 7d3 in 30d
Hiring: Engineering
Job description
Overview
We are looking for an MLOps Engineer to take ML models from notebook to production reliably.
Responsibilities
- Build ML training and deployment pipelinesTrack experiments and models with MLflowRun pipelines on Kubeflow or SageMakerMonitor model drift and performance
Qualifications
- 2+ years in MLOps or ML engineeringHands-on with MLflow and Kubeflow or SageMakerExperience serving models at scale .
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 22 October 2026
- How do I apply for ML Ops Engineer at Gravity Engineering Services Pvt Ltd?
- 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. Gravity Engineering Services Pvt Ltd may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this ML Ops Engineer 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 ML Ops Engineer remote or on-site in New Delhi, Delhi?
- This listing is marked on_site with location New Delhi, Delhi. Confirm details on the job description before applying.
- What skills matter for this ML Ops Engineer role at Gravity Engineering Services Pvt Ltd?
- This is a mid-level ML Ops Engineer role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.