ML Engineer - Deep Learning - Generative AI

This role focuses on developing and implementing cutting-edge machine learning solutions, with a strong emphasis on deep learning and generative AI techniques. The ideal candidate will contribute to the design, development, and deployment of innovative AI models to solve complex business challenges.

Key Responsibilities:

Develop and implement machine learning models using deep learning frameworks.
Design and build generative AI solutions for various applications.
Evaluate model performance and identify areas for improvement.
Collaborate with cross-functional teams to integrate AI solutions into existing systems.
Stay up-to-date with the latest advancements in machine learning and AI.

Requirements/Qualifications:

6 to 11 years of experience in machine learning engineering.
Strong understanding of deep learning concepts and techniques.
Experience with generative AI models (e.g., GANs, VAEs, Transformers).
Proficiency in programming languages such as Python.
Experience with machine learning frameworks such as TensorFlow or PyTorch.
Excellent problem-solving and analytical skills.

About the Company: Tata Consultancy Services is a global leader in information technology services and consulting. The company helps businesses worldwide reimagine their operations and achieve their goals through innovative technology solutions.