Description:
Role: ML Ops Engineer Need candidates who can work onsite form Day 1 (5 days a week) Skills Required: 4-8 years experience of applied machine learning/ML Ops in BFS / Investment Management industry PhD or MS in Computer Science, Statistics or related field Expertise in Machine Learning algorithms and frameworks: Training and tuning pre-trained models Working with structured and unstructured for Fraud models Deep proficiency in Python with experience developing production-quality Python mo
Jan 7, 2026;
from:
dice.com