- Research and develop recent 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.

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