- 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 Tensor Flow.

- 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 Num Py, Pandas, and Scikit-learn.

- Solid analytical, research, and problem-solving abilities.

- Excellent technical documentation and communication skills.

📌 AI Research Scientist (India)
🏢 Training Basket
📍 India