Gen AI Engineer

Cognizant Technology Solutions Corporation; Chennai; Remote; INR 600,000 - 900,000; Full time

Job summary

Cognizant in India is seeking a Gen AI Engineer with 5+ years to design, train, and deploy multimodal foundation models. You will collect and prepare data, develop large-scale models (GANs, VAEs, Transformers), and build cloud-native AI applications on AWS, Azure, or GCP.

You will integrate models with client data, implement robust ML pipelines, and collaborate with cross-functional teams to ensure scalable, production-ready solutions while staying current with AI advances.

Qualifications

• Strong foundation in ML, DL and CS.
• Experience with generative AI models (GANs, VAEs, Transformers).
• NLP and CV experience is a plus.
• Ability to work independently and in a team.
• Proficiency in Python and AI libraries (TensorFlow, PyTorch, Keras).
• Experience with data management and deploying AI models.

Responsibilities

• Handle data preprocessing, augmentation, and synthetic data generation.
• Design and develop backend services to support OpenAI-powered solutions.
• Develop and maintain AI pipelines.
• Train and fine-tune models on custom datasets.
• Integrate cloud services to deploy AI solutions.
• Collaborate with cross-functional teams for deployment.
• Ensure robustness, efficiency, and scalability of AI systems.
• Stay updated with AI advancements.

Skills

Machine learning

Deep learning

Generative AI

NLP

Teamwork

Tools

Python

TensorFlow

PyTorch

Keras

Transformers

Docker

Kubernetes

Azure

AWS

GCP

Job description

Role –Gen AI Engineer

Location: PAN India

Exp: 5+ years

Mode Of Interview - F2F

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

Cognizant is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.