Sr. Gen AI Engineer

Cognizant; Indore District, Hyderabad, Chennai; Hybrid; INR 4,000,000 - 7,000,000; Full time

Job summary

Cognizant is seeking a Senior Gen AI Engineer to design, implement, and deploy cutting-edge generative AI solutions. The role emphasizes building scalable models, ML/DL foundations, and production-ready pipelines across cloud environments.

Locations include Chennai, Hyderabad, and Indore. You will collaborate with cross-functional teams, work on NLP and computer vision tasks, and leverage modern AI tooling such as TensorFlow, PyTorch, Docker, and Kubernetes.

Qualifications

• Strong foundation in machine learning, deep learning, and computer science.
• Expertise in generative AI models and techniques (GANs, VAEs, Transformers).
• Experience with NLP and computer vision is a plus.
• Proficiency in Python and AI-centric libraries (TensorFlow, PyTorch, Keras).
• Ability to implement and manipulate complex algorithms for generative AI models.
• Familiarity with NLP tasks like text generation, parsing, sentiment analysis, and transformers.

Responsibilities

• Develop and deploy generative AI models in production environments.
• Work with data management including preprocessing, augmentation and synthetic data generation.
• Collaborate with cross-functional teams to bring AI solutions to clients.

Skills

ML & DL

NLP

CV

Python

TensorFlow

PyTorch

Keras

Transformers

GANs/VAEs

Cloud services

Docker

Kubernetes

Tools

TensorFlow

PyTorch

Keras

Docker

Kubernetes

AWS

Azure

GCP

Job description

Role: Sr Gen AI Engineer

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