Responsibilities

📍Collaborate with cross-functional teams to train and fine-tune machine learning models and systems for consumer-focused ventures. 📍Fine-tune foundational machine learning algorithms and 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 and research, 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

📍Bachelor's or Master's degree in Computer Science, Mathematics, Artificial Intelligence / Machine Learning, or a related field. 📍1-2 years of professional experience working on applied AI projects, preferably in a product development or research environment. 📍Strong knowledge of Python, 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. 📍Proficiency in data preprocessing, feature engineering, and exploratory data analysis. 📍Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and experience with deploying AI models in cloud-based environments. 📍Excellent problem-solving and analytical thinking skills, with a strong attention to detail. 📍Effective communication and teamwork abilities, with the capacity to work in a fast-paced, collaborative environment.