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 new features and continuous improvements based on evolving business requirements

Required Skills

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 Preferred

Data Visualization Storytelling Power BI is a plus

What Youll Do





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

Ideal Candidate

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 qualified with strong ownership and minimal supervision requirements

Excellent analytical problemsolving and stakeholder management skills

Mandatory Skills : MLOPS, Python

📌 Senior Specialist - Architecture (Bengaluru)
🏢 LTM
📍 Bengaluru