Gen AI Engineer

Cognizant; Gurugram District; In loco; INR 1.800.000 - 3.200.000; Tempo pieno

Descrizione del lavoro

Cognizant is seeking an experienced AI/ML engineer to collect and prepare data for multimodal models and to develop large-scale language models using GANs, VAEs, and transformers. You will work on NLP and CV tasks, fine-tune models, and deploy AI solutions on AWS, Azure, or GCP. Collaboration across teams will be essential.

The role emphasizes production-ready AI deployment, data integration, and continuous model improvement in a fast-paced environment.

Competenze

• Strong foundation in machine learning, deep learning, and computer science.
• Expertise in generative AI models and techniques (e.g., GANs, VAEs, Transformers).
• Experience with NLP and computer vision is a plus.
• Ability to work independently and as part of a team.
• Knowledge of Python and AI-centric libraries (TensorFlow, PyTorch, Keras).
• Knowledge of NLP for text generation projects (GPT models).
• Experience in data management, preprocessing, augmentation, and generation of synthetic data.
• Experience in developing and deploying AI models in production environments.
• Knowledge of cloud services (AWS, Azure, GCP) and containerization (Docker, Kubernetes).
• Ability to bring new ideas and innovative solutions to clients.

Mansioni

• Collect and prepare data for training and evaluating multimodal foundation models.
• Develop and optimize large-scale language models like GANs and VAEs.
• Work on 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.

Conoscenze

Machine learning

Deep learning

Generative AI

NLP

Computer vision

Python

TensorFlow

PyTorch

Keras

Cloud computing

GPT/transformers

Data management

Model deployment

Strumenti

TensorFlow

PyTorch

Keras

Docker

Kubernetes

Descrizione del lavoro

Responsibilities:

• 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.

Requirements:

• 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 preprocessing, 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, and 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.