Gen AI Engineer

Cognizant; Chennai; In loco; INR 1.500.000 - 2.700.000; Tempo pieno

Descrizione del lavoro

Cognizant is seeking a Gen AI Engineer to collect and prepare data, develop large-scale language models, and deploy AI applications across cloud platforms. You will fine-tune models, work with transformers, and integrate AI into client solutions.

The role involves data preprocessing, backend development in Python/.NET, and building scalable AI pipelines for production in a multi-project environment.

Competenze

• Strong foundation in ML/DL and CS fundamentals.
• Expertise in generative AI models (GANs/VAEs/Transformers).
• Experience with NLP and optional computer vision.
• Proficient Python and AI libraries (TensorFlow, PyTorch, Keras).
• Experience with cloud services and container orchestration.

Mansioni

• Handle data preprocessing, augmentation, and synthetic data generation.
• Design backend services to support OpenAI-powered solutions or LLMs.
• Develop and maintain AI pipelines for production use.
• Train/fine-tune models on custom datasets with embeddings and chunking.
• Integrate Azure cognitive services or equivalent platforms.
• Collaborate across teams for deployment and integration.
• Ensure robustness, efficiency, and scalable AI systems.
• Stay updated on AI/ML advances and apply to projects.

Conoscenze

Machine learning

Deep learning

NLP

Computer vision

Python

TensorFlow

PyTorch

Keras

GANs/VAEs

Transformers

GPT models

NLP tooling

Cloud platforms

Docker

Kubernetes

Strumenti

Docker

Kubernetes

Azure

AWS

GCP

OpenAI APIs

Descrizione del lavoro

• 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.

Description - External

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