Gen AI Engineer

As a Gen AI Engineer at our company in Hyderabad, you will be responsible for the following: Role Overview: You will collect and prepare data for training and evaluating multimodal foundation models, which may involve cleaning and processing text data or creating synthetic data. Additionally, you will develop and optimize large-scale language models like GANs and VAEs. Your tasks will involve language modeling, text generation, understanding, and contextual comprehension. It will be your responsibility to regularly review and fine-tune Large Language models to ensure maximum accuracy and relevance for custom datasets. Furthermore, you will build and deploy AI applications on cloud platforms such as Azure, GCP, or AWS. Integrating AI models with our company's data to enhance and augment existing applications will also be part of your role. Key Responsibilities: - 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 maintain 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. Qualifications Required: - Strong foundation in machine learning, deep learning, and computer science. - Expertise in generative AI models and techniques such as GANs, VAEs, and 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 languages like Python and AI-centric libraries like TensorFlow, PyTorch, and Keras. - Knowledge of Natural language processing (NLP) for text generation projects like text parsing, sentiment analysis, and the use of transformers like GPT models. - Experience in Data management, including data pre-processing, augmentation, and generation of synthetic data. - 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. Please note that you should be able to bring new ideas and innovative solutions to our clients. As a Gen AI Engineer at our company in Hyderabad, you will be responsible for the following: Role Overview: You will collect and prepare data for training and evaluating multimodal foundation models, which may involve cleaning and processing text data or creating synthetic data. Additionally, you will develop and optimize large-scale language models like GANs and VAEs. Your tasks will involve language modeling, text generation, understanding, and contextual comprehension. It will be your responsibility to regularly review and fine-tune Large Language models to ensure maximum accuracy and relevance for custom datasets. Furthermore, you will build and deploy AI applications on cloud platforms such as Azure, GCP, or AWS. Integrating AI models with our company's data to enhance and augment existing applications will also be part of your role. Key Responsibilities: - 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 maintain 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. Qualifications Required: - Strong foundation in machine learning, deep learning, and computer science. - Expertise in generative AI models and techniques such as GANs, VAEs, and 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 languages like Python and AI-centric libraries like TensorFlow, PyTorch, and Keras. - Knowledge of Natural language processing (NLP) for text generation projects like text parsing, sentiment analysis, and the use of transformers like GPT models. - Experience in Data management, including data pre-processing, augmentation, and generation