Responsibilities

📍Collaborate with cross-functional teams to train and fine-tune machine learning models and systems for consumer-focused ventures. 📍Build machine learning models for various generative AI applications, including text-to-image diffusion models, large language models, and other emerging generative AI. 📍Develop multi-model architectures to meet product & business requirements for new venture concepts. 📍Collect, preprocess, and analyze data to extract meaningful insights and improve the performance of AI models. 📍Deploy and maintain AI models in production environments, ensuring scalability, reliability, and efficiency. 📍Stay up-to-date with the latest advancements in AI technologies, contribute to research environment, and apply them to enhance the performance and capabilities of our ventures. 📍Communicate complex AI concepts and solutions effectively to both technical and non-technical stakeholders.

Qualifications

📍Currently enrolled in a Bachelor's, Master's, or PhD degree in Computer Science, Mathematics, Artificial Intelligence / Machine Learning, or a related field. 📍Prior professional experience working on applied AI projects, preferably in a product development or research environment. 📍Strong knowledge of Python and familiarity with Linux with experience in popular machine learning libraries (e.g., TensorFlow, PyTorch). 📍Solid understanding of machine learning concepts and algorithms. 📍Experience with training and fine-tuning AI models and working with large-scale datasets.