- 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

- Solid 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.

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