Key Responsibilities

📍Develop and Maintain AI Models: design, implement, and optimize machine learning models using PyTorch and TensorFlow. 📍Data Processing: Utilize ETL processes to gather, clean, and preprocess data using tools like Pandas and NumPy to ensure high-quality input for machine learning algorithms. 📍Reinforcement Learning: Engage in projects involving reinforcement learning (RL) techniques, contributing to the development of intelligent systems. 📍Testing and Validation: Conduct experiments to validate model performance and improve accuracy through iterative testing. 📍Collaboration: Work closely with cross-functional teams, including data scientists, product managers, and software engineers, to integrate AI solutions into applications. 📍Documentation: Maintain thorough documentation of code, processes, and project developments to ensure clarity and facilitate knowledge sharing.

Core Skills

📍Programming Languages: Proficient in Python 3.x, with a solid understanding of object-oriented programming principles. 📍Data Manipulation: Experience with ETL processes and libraries such as Pandas and NumPy for data analysis and manipulation. 📍Machine Learning Frameworks: Familiarity with PyTorch, TensorFlow, Gym, or similar frameworks for developing AI models. 📍Reinforcement Learning: Understanding of reinforcement learning concepts and their application in real-world scenarios. 📍Prompting Common AI Tools: Experience in using common AI tools effectively by crafting detailed prompts that lead to high-quality outputs. Familiarity with techniques such as sequential prompting, role-playing personas, and iterative refinement of prompts. 📍Experience with AI tools' APIs such as ChatGPT/claude api. 📍Natural Language Processing (NLP): Experience with NLP techniques, large language models (LLMs), and libraries such as Hugging Face Transformers.