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
Robust 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 esp
📌 Gen Ai Engineer Gurugram (India)
🏢 Cognizant Softvision
📍 India
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