Sr Gen AI Engineer

Cognizant; Ernakulam, Indore District, Chennai District; Hybrid; INR 1,800,000 - 2,400,000; Full time

Job summary

Cognizant is seeking a Gen AI Engineer/Architect for PAN India deployment. You will design, build, and optimize generative AI systems, including NLP and CV components, with emphasis on production readiness.

Strong foundation in ML/DL and Python libraries is required. Experience with TensorFlow, PyTorch, Kubernetes, and cloud platforms will enable scalable solutions for diverse client projects.

Qualifications

• Strong foundation in machine learning, deep learning and CS.
• Expertise in generative AI models (GANs, VAEs, Transformers).
• Experience with NLP and computer vision is a plus.
• Ability to work independently and in a team.
• Proficient in Python and AI libraries (TensorFlow, PyTorch, Keras).
• Knowledge of NLP for text generation projects using transformers like GPT.

Responsibilities

• Develop and optimize generative AI models.
• Deploy AI models in production environments.
• Work with cloud services and containerization for scalable solutions.
• Bring innovative AI ideas to client projects.

Skills

Machine learning

Deep learning

Generative AI

Transformers

NLP

Computer vision

Python

TensorFlow

PyTorch

Keras

Data management

Synthetic data generation

Production deployment

Tools

Python

TensorFlow

PyTorch

Keras

Docker

Kubernetes

AWS

Azure

GCP

Job description

Role: Gen AI Engineer / Gen AI Architect

Location: PAN India

• 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