Back
Niche MLOps role at a lesser-known employer in metro Hyderabad reduces applicant density.
Strong MLOps/platform bias limits transferability without equivalent ML infrastructure experience.
Moderate domain expertise in MLOps and platform tooling required but no explicit years or certifications.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Design, build, and operate systems supporting Generative AI and ML solutions across the full lifecycle from data ingestion to deployment.
Develop and maintain infrastructure and tooling for a self-hosted AI platform enabling AI transformation.
Collaborate with ML engineers, backend engineers, and platform stakeholders to ensure systems are reliable, observable, and scalable.
Experience with ML, MLOps, and platform engineering.
Work Experience Required: Not explicitly mentioned in the JD.
Not explicitly mentioned: minimum educational qualifications, notice period, or location restrictions beyond India.
Not explicitly mentioned: mandatory certifications or regulatory constraints.
Experienced engineer with practical knowledge in building ML lifecycle infrastructure and scalable AI platforms.
Ability to work collaboratively with cross-functional teams including ML and backend engineers.
Comfortable operating in an environment involving self-hosted AI solutions and infrastructure development.