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.

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.