AI Research Scientist

• Research, design, and develop AI and Machine Learning models and algorithms.
• Explore advanced techniques in Deep Learning, Natural Language Processing (NLP), and Computer Vision.
• Conduct experiments, evaluate model performance, and optimize algorithms.
• Analyze large datasets to identify patterns, trends, and meaningful insights.
• Develop prototypes and proof-of-concept solutions for AI-based applications.
• Implement and test machine learning algorithms using Python and relevant frameworks.
• Read and analyze research papers to explore emerging AI techniques and methodologies.
• Collaborate with engineering and data science teams to translate research findings into practical applications.
• Evaluate models using appropriate performance metrics and statistical methods.
• Document research findings, experiments, methodologies, and results.
• Stay updated with the latest advancements in Generative AI, Large Language Models (LLMs), and AI research.

Requirements

• Strong programming skills in Python.
• Good understanding of Machine Learning and Deep Learning concepts.
• Knowledge of mathematics, probability, statistics, linear algebra, and optimization.
• Experience with frameworks such as PyTorch or TensorFlow.
• Understanding of algorithms, model training, validation, and evaluation techniques.
• Knowledge of NLP, Computer Vision, or Generative AI is an advantage.
• Familiarity with data processing libraries such as NumPy, Pandas, and Scikit-learn.
• Strong analytical, research, and problem-solving abilities.
• Excellent technical documentation and communication skills.