Gen AI Engineer

Cognizant Technology Solutions Corporation; Chennai; On-site; INR 1,200,000 - 2,400,000; Full time

Job summary

Cognizant Technology Solutions Corporation is seeking a Gen AI Engineer to collect and prepare data for training multimodal models and to develop and optimize large-scale language models such as GANs and VAEs. You will work on NLP tasks, embeddings-based training, and cloud deployments to deliver production-ready AI solutions.

The role requires 6–15 years of experience, Pan India location, and an in-person interview process.

Qualifications

• 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 Python programming and AI-centric libraries (TensorFlow, PyTorch, Keras).
• Knowledge of NLP for text generation projects and transformers like GPT models.
• Experience in data management including preprocessing, augmentation, and synthetic data generation.
• Experience in deploying AI models in production environments.
• Familiarity with cloud services (AWS, Azure, GCP) and containerization tools (Docker, Kubernetes).
• Ability to bring new ideas and innovative solutions to clients.

Responsibilities

• Collect and preprocess data for training and evaluation of multimodal models.
• Develop and optimize large-scale language models like GANs and VAEs.
• Work on tasks involving language modeling, text generation, understanding, and contextual comprehension.
• Regularly review and fine-tune Large Language models for accuracy and relevance.
• Build and deploy AI applications on cloud platforms (AWS/Azure/GCP).
• Integrate AI models with company data to augment applications.
• Design backend services to support OpenAI-powered solutions and other LLMs.
• Develop and maintain AI pipelines.
• Train and fine-tune models using custom datasets with embeddings and chunking.
• Collaborate with cross-functional teams for deployment and integration.
• Ensure robustness, efficiency, and scalability of AI systems.
• Stay updated with AI/ML advancements.

Skills

Machine Learning

Deep Learning

NLP

Transformers

Generative AI

Python

TensorFlow

PyTorch

Keras

Cloud platforms

Docker

Kubernetes

OpenAI/LLM solutions

Tools

TensorFlow

PyTorch

Keras

Docker

Kubernetes

AWS

Azure

GCP

OpenAI API

GPT models

Job description

• Collect and prepare data for training and evaluating multimodal foundation models. This may involve cleaning and processing text data or creating synthetic data.
• Develop and optimize large-scale language models like GANs (Generative Adversarial Networks) and VAEs (Variational Autoencoders)
• Work on tasks involving language modeling, text generation, understanding, and contextual comprehension.
• Regularly review and fine-tune Large Language models to ensure maximum accuracy and relevance for custom datasets.
• Build and deploy AI applications on cloud platforms – any hyperscaler Azure, GCP or AWS.
• Integrate AI models with our company's data to enhance and augment existing applications.

Role: Gen AI Engineer

Experience: 6 to 15 Years

Location: Pan India

Notice Period: Immediate to 90 days

Mode of Interview: In-Person

Job Description

• Collect and prepare data for training and evaluating multimodal foundation models. This may involve cleaning and processing text data or creating synthetic data.
• Develop and optimize large-scale language models like GANs (Generative Adversarial Networks) and VAEs (Variational Autoencoders)
• Work on tasks involving language modeling, text generation, understanding, and contextual comprehension.
• Regularly review and fine-tune Large Language models to ensure maximum accuracy and relevance for custom datasets.
• Build and deploy AI applications on cloud platforms – any hyperscaler Azure, GCP or AWS.
• Integrate AI models with our company's data to enhance and augment existing applications.

Role & Responsibility

• Handle data preprocessing, augmentation, and generation of synthetic data.
• Design and develop backend services using Python or .NET to support OpenAI-powered solutions (or any other LLM solution)
• Develop and Maintaining AI Pipelines
• Work with custom datasets, utilizing techniques like chunking and embeddings, to train and fine-tune models.
• Integrate Azure cognitive services (or equivalent platform services) to extend functionality and improve AI solutions
• Collaborate with cross-functional teams to ensure smooth deployment and integration of AI solutions.
• Ensure the robustness, efficiency, and scalability of AI systems.
• Stay updated with the latest advancements in AI and machine learning technologies.

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