AI Research Engineer

• Research and develop new AI and Machine Learning algorithms and models.
• Design, train, test, and optimize machine learning and deep learning models.
• Explore advanced AI technologies, including Generative AI and Large Language Models (LLMs).
• Perform data collection, preprocessing, cleaning, and feature engineering.
• Conduct experiments to evaluate model performance and accuracy.
• Implement research papers and convert theoretical concepts into practical solutions.
• Work with NLP, Computer Vision, and Deep Learning techniques.
• Optimize algorithms for performance, scalability, and efficiency.
• Collaborate with engineering and research teams to develop AI-based solutions.
• Document research findings, experiments, and technical results.
• Stay updated with the latest developments in AI, ML, and emerging technologies.

Requirements

• Strong programming knowledge in Python.
• Understanding of Machine Learning algorithms and concepts.
• Knowledge of Deep Learning and Neural Networks.
• Experience with libraries such as NumPy, Pandas, Scikit-learn.
• Knowledge of TensorFlow or PyTorch.
• Understanding of Statistics, Linear Algebra, Probability, and Calculus.
• Knowledge of Data Preprocessing and Feature Engineering.
• Understanding of model training, evaluation, and optimization.
• Familiarity with NLP and Computer Vision concepts.
• Strong analytical, mathematical, and problem-solving skills.