Gen AI Developer

Cognizant; Indore District, Hyderabad, Chennai; Ibrido; INR 1.500.000 - 2.300.000; Tempo pieno

Descrizione del lavoro

Cognizant is seeking a Gen AI Developer to work across Chennai, Hyderabad, and Indore. You will build, train, and deploy cutting-edge generative AI models, leveraging NLP and computer vision where applicable. Proficiency in Python and AI libraries, plus experience with cloud platforms and containers, is essential.

The role emphasizes independent and team collaboration, with the potential to bring innovative AI solutions to client projects and production environments.

Competenze

• Strong foundation in ML, DL, and CS.
• Expertise in generative AI models and techniques (GANs, VAEs, Transformers).
• Experience with NLP and CV is a plus.
• Proficient in Python and AI-centric libraries (TensorFlow, PyTorch, Keras).
• Ability to implement and manipulate complex algorithms for generative AI.

Conoscenze

Gen AI development

Machine learning

Deep learning

NLP

Computer vision

Python programming

TensorFlow

PyTorch

Keras

AI model deployment

Strumenti

TensorFlow

PyTorch

Keras

Docker

Kubernetes

AWS

Azure

GCP

Descrizione del lavoro

Role: Gen AI Developer

Location: Chennai, Hyderabad, Indore

Skills & Experience

• Strong foundation in machine learning, deep learning, and computer science.
• Expertise in generative AI models and techniques (e.g., GANs, VAEs, Transformers).
• Experience with natural language processing (NLP) and computer vision is a plus.
• Ability to work independently and as part of a team.
• Knowledge of advanced programming like Python, and especially AI-centric libraries like TensorFlow, PyTorch, and Keras. This includes the ability to implement and manipulate complex algorithms fundamental to developing generative AI models.
• Knowledge of Natural language processing (NLP) for text generation projects like text parsing, sentiment analysis, and the use of transformers like GPT (generative pre-trained transformer) models.
• Experience in Data management, including data pre-processing, augmentation, and generation of synthetic data. This involves cleaning, labeling, and augmenting data to train and improve AI models.
• Experience in developing and deploying AI models in production environments.
• Knowledge of cloud services (AWS, Azure, GCP) and understanding of containerization technologies like Docker and orchestration tools like Kubernetes for deploying , managing and scaling AI solutions
• Should be able to bring new ideas and innovative solutions to our clients