Job Summary
Key Responsibilities
AI Systems Architecture:
- Design and develop the architecture and infrastructure for Gen AI systems, including mechanisms for data storage, processing, and retrieval.
- Ensure the system's scalability, flexibility, and efficiency to handle large algorithms.
Algorithm Development:
- Develop and implement advanced AI algorithms and models, including machine learning, deep learning, and neural networks.
- Continuously evaluate and improve these algorithms to enhance system performance and accuracy.
Data Integration:
- Identify relevant data sources and design methods for data collection, integration, cleansing, and transformation.
- Collaborate with data scientists and engineers to ensure the quality and relevance of data for AI model training.
Skill Requirements
- A bachelor's or master's degree or equivalent in computer science, Artificial Intelligence, or related field.
- Experience with large language models (LLMs) and prompt engineering.
- Experience in designing and developing AI systems, including machine learning, deep learning, and neural networks.
- Strong programming skills in languages such as Python, R, or Java.
- Familiarity with AI libraries, frameworks, and tools such as TensorFlow, PyTorch, or Keras.
- Proven understanding of cloud computing platforms (e.g., AWS, Azure, Google Cloud) and experience deploying AI models on these platforms.
- Solid understanding of AI concepts, algorithms, and methodologies.
- Knowledge of designing large scale AI solutions, data integration, cleansing, and transformation techniques.
- Excellent problem-solving and analytical skills, with the ability to think creatively and provide innovative solutions.
- Strong communication and collaboration skills to work effectively in multidisciplinary teams.
- Knowledge of ethical AI practices and laws is a plus.