Job Description

About TCS:

Join Tata Consultancy Services, Asia Pacific and be part of an organization committed to sustainable development for our future. TCS follows the Tata group philosophy of building sustainable businesses that are rooted in the community and demonstrate care for the environment. Our unique values position us to combine a purpose-driven worldview with digital innovation, collaborating with customers, communities and governments to lead and shape innovative solutions for a sustainable future. TCS has been carbon neutral in its operations across 11 countries, 12 delivery centres and 18 offices in Asia Pacific since 2022. This is only the initial stage in TCS journey as we strive to achieve long-term net zero emissions by 2030.

Corporate sustainability is embedded in our triple-bottom-line, focusing on people, the planet, and our purpose. Our offices are designed with eco-friendly features that significantly reduce our carbon footprint and enhance energy efficiency. We actively champion green initiatives, such as promoting paperless operations, implementing energy-efficient practices, and fostering employee engagement in sustainability efforts. When you become part of the TCS family, you will play an essential role dedicated to innovation, excellence, and crafting a brighter, greener future together. Join us and be a part of our mission to drive sustainability through technology and talent at Tata Consultancy Services, APAC today.

Role Summary

We are seeking a Senior Computer Vision / AI-ML Engineer to develop, optimize, and maintain AI-based defect classification solutions. The role will focus on building and enhancing machine learning and deep learning models for automated defect detection, classification, and anomaly identification using image data.

The ideal candidate should possess strong experience in Computer Vision, Deep Learning, CNN architectures, Object Detection, and Anomaly Detection techniques, along with hands-on expertise in Python and modern AI frameworks.

Key Responsibilities

Develop and maintain AI models for defect classification and anomaly detection.
Design, train, evaluate, and optimize CNN-based image classification models.
Develop Object Detection models for identifying and localizing defects.
Build and improve anomaly detection solutions for manufacturing and inspection use cases.
Perform data preprocessing, image augmentation, and image quality analysis.
Conduct model performance evaluation, tuning, and optimization.
Collaborate with business stakeholders, domain experts, and engineering teams to understand requirements and improve model accuracy.
Analyze model performance and continuously improve detection effectiveness.
Document model design, training procedures, and performance metrics.

Required Skills

Must Have

AI/ML experience.
Strong Computer Vision background.
Python programming.
Deep Learning model development.
CNN Classification Models.
Object Detection Models.
Anomaly Detection Models.
PyTorch.
Image Processing techniques.
Model training, tuning, and evaluation.

Additional Skills

TensorFlow / Keras.
OpenCV.
Data Annotation and Labeling.
MLOps concepts.
Docker and Containerization.
Azure ML / AWS SageMaker.
Experience working with manufacturing or semiconductor image data.

Preferred Experience

Defect Classification Systems.
Visual Inspection Systems.
Semiconductor Manufacturing Analytics.
Factory Automation AI solutions.
Industrial Computer Vision applications.

Education

Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Electronics Engineering, or equivalent.

Thank you for your interest in applying for this position with TCS. We will review your application and will get back to you if we are considering your interest in this opportunity.