Gen AI Engineer

2 weeks ago

Pune India Cognizant Full time

Job Description Role Gen AI Engineer Location: AIA Group - Bhubaneswar Exp: 5 to 12 years 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

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