IT Analyst Applications (MLOps Engineer)

Overview

As an MLOps engineer, you will deploy and maintain the full lifecycle of applications and systems that use AI to improve performance and efficiency, including deep learning, neural networks, chatbots and natural language processing.

What you'll do

• Explore, implement and deploy pipelines for deep learning, neural networks, chatbots and image processing solutions.
• Collaborate with cross-functional teams to deliver high-quality AI projects.
• Track multiple models and experiments for auditing purposes.
• Collaborate with data scientists on hyperparameter tuning and feature maintenance.
• Manage models and their versioning.
• Work with the infra team, data scientists and business stakeholders on artifact lineage, model registry and governance.
• Assist in testing and automated deployment.
• Build a pipeline that triggers retraining to detect model drift or data drift.
• Work with AWS Lambda, SageMaker and AWS Step Functions.
• Create CI/CD pipelines for ML algorithms, training and prediction pipelines.
• Work with business and data scientists to ensure value realization and ROI on operationalized models.
• Containerize and package ML models.
• Create endpoints for prediction.
• Clean, transform and normalize data to ensure data quality and integrity.

What you'll need

• Proficiency in Machine Learning Operations.
• Strong understanding of statistical analysis and machine learning algorithms.
• Hands-on experience implementing various machine learning algorithms.
• Solid grasp of data munging techniques, including data cleaning, transformation and normalization.
• Working knowledge of AWS Lambda, SageMaker and AWS Step Functions.

Nice to have

• Experience with data visualization tools such as Tableau or Power BI.

Details

• Location: Chennai, Tamil Nadu.
• Work mode: onsite five days a week.
• Visa sponsorship is not available for this position.