Gen AI Engineer

About the job

Role & Responsibility • 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. 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.

Requirements

• Machine Learning
• Deep Learning
• Generative AI Models
• NLP
• Python
• Cloud Services

Preferred Technologies

• Machine Learning
• Deep Learning
• Generative AI Models
• NLP
• Python
• Cloud Services