ML Operations Engineer
Signify Innovation Labs · Bangalore
Source and collection record
Last observed by our collector: . This is not a manual review or a confirmation from the employer.
Employer requisition: 365350
Job type and experience labels are automated discovery categories. The employer determines eligibility. Original experience wording was not retained separately; check the current employer page.
Your application evidence checklist
Mark the statements you can support after reading the employer source. This checklist stays on this page; it does not score your eligibility or submit an application.
0 of 2 checks marked. Keep unresolved requirements as questions for the employer.
Collected role description
We are looking for a Machine Learning Operations Engineer to build and support scalable ML and MLOps systems, enabling reliable model deployment. You will collaborate with data scientists and engineers to operationalise models and integrate intelligent components. Ideal candidates have experience in ML infrastructure, microservices, and distributed systems. We are looking for a Machine Learning Operations Engineer to build and support scalable ML and MLOps systems, enabling reliable model deployment. You will collaborate with data scientists and engineers to operationalise models and integrate intelligent components. Ideal candidates have experience in ML infrastructure, microservices, and distributed systems.