Job Summary

AIML Engineer Classic AI Data Science MLOps 6 Years We are looking for an AIML Engineer with 6 years of experience in Data Science Classical Machine Learning Model Monitoring and MLOps The primary responsibility of this role is to maintain support monitor and optimize existing AIML solutions models and MLOps pipelines ensuring reliability performance and business continuity Additionally the candidate should be able to develop and implement enhancements recent features and continuous improvements based on evolving business requirements

Responsibilities
Maintain support monitor and optimize existing AIML solutions and MLOps pipelines
Design build and deploy productionready machine learning solutions
Develop predictive models and data science solutions for business problems
Implement enhancements new features and continuous improvements
Establish MLOps best practices covering model training deployment monitoring and retraining
Collaborate with business engineering and product teams to deliver AIdriven capabilities

Requirements
Classical Machine Learning
Regression




Classification
Clustering
Forecasting
Data Science
Advanced Analytics
Python
SQL
Pandas
ScikitLearn
Feature Engineering
Model Development
MLOps Lifecycle
CICD for ML
Model Deployment
Versioning
Model Monitoring
Drift Detection
Performance Tracking
Azure ML
Databricks
MLFlow
Power BI

Qualifications
6 years of experience in Data Science Machine Learning and MLOps
Strong understanding of ML lifecycle management and production AI systems
Experience building scalable and maintainable ML pipelines
Selfdriven skilled with robust ownership and minimal supervision requirements
Excellent analytical problemsolving and stakeholder management skills

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Sr Specialist Architecture Bengaluru (India)
🏢 LTM
📍 India