Lead AI Engineer

Virtusa; Chennai District; On-site; INR 2,500,000 - 4,200,000; Full time

Job summary

Virtusa in Chennai is seeking an experienced AI/ML engineer to design, develop, test and deploy large-scale models using Python and related technologies. You will collaborate with cross-functional teams to identify business problems solvable through ML algorithms and develop data pipelines to collect, process, and analyze large datasets for training and testing.

The role also involves troubleshooting model performance, data quality, and system reliability, with cloud deployment on AWS or GCP

Qualifications

• 7-9 years of experience developing AI/ML models with Python.
• Strong understanding of deep learning concepts including neural networks, NLP, computer vision.
• Experience deploying models at scale on cloud platforms such as AWS or GCP.

Responsibilities

• Design, develop, test, deploy and maintain large-scale AI/ML models using Python and related technologies.
• Collaborate with cross-functional teams to identify business problems solvable with ML algorithms.
• Develop data pipelines to collect, process, and analyze large datasets for training/testing.
• Troubleshoot issues related to model performance, data quality, and system reliability.

Skills

Python

AI/ML

Deep learning

NLP

Computer Vision

Tools

AWS

GCP

Job description

Roles and Responsibilities :

• Design, develop, test, deploy and maintain large-scale AI/ML models using Python and other relevant technologies.
• Collaborate with cross-functional teams to identify business problems that can be solved through the application of machine learning algorithms.
• Develop data pipelines to collect, process, and analyze large datasets for training and testing purposes.
• Troubleshoot issues related to model performance, data quality, and system reliability.

Job Requirements :

• 7-9 years of experience in developing AI/ML models using Python programming language.
• Strong understanding of deep learning concepts including neural networks, natural language processing (NLP), computer vision etc. .
• Experience with cloud-based platforms such as AWS or GCP for deploying models at scale.