Job
Description
Model Development & Experimentation: Assist in the research, design, development, and implementation of machine learning and deep learning models. Contribute to the selection and fine-tuning of algorithms (e.g., supervised, unsupervised, reinforcement learning, neural networks, NLP models, computer vision models). Conduct experiments to evaluate model performance, identify limitations, and propose improvements. Data Preparation & Analysis: Collect, clean, preprocess, and transform large and complex datasets to ensure high-quality training data for AI models. Perform exploratory data analysis to uncover insights, patterns, and trends that inform model development. Utilize data visualization techniques to present findings clearly. Research & Learning: Conduct literature reviews on current AI trends, state-of-the-art models, and best practices. Stay updated with the latest advancements in AI, machine learning, and deep learning. Contribute to brainstorming sessions and provide innovative ideas for AI solutions. Collaboration & Documentation: Collaborate effectively with AI engineers, data scientists, researchers, and cross-functional teams to understand project requirements and objectives. Assist in maintaining detailed records of AI experiments, model development processes, code, and results. Support in preparing technical reports and presentations to communicate findings to internal stakeholders. Code Implementation & Optimization: Write clean, efficient, and well-documented code in Python (or other relevant languages) for AI model development and deployment. Assist in debugging and optimizing AI model performance and efficiency.
