- Overall 8+ years of experience with Python and data science toolkits (NumPy, Pandas, Scikit-learn).
- Develop and deploy APIs and web applications using Flask.
- Familiarity with SQL and NoSQL databases (e.g., PostgreSQL, MongoDB).
- Design, implement, and optimize advanced machine learning models, including supervised, unsupervised, and deep learning approaches.
- Robust understanding of time series forecasting, Bayesian statistics, and optimization techniques.
- Integrate different machine learning models into Flask applications for production use.
- Ensure application security, scalability, and performance.
- Experience with NLP frameworks and tools (e.g., NLTK, SpaCy Hugging Face).
- Design and implement NLP systems for tasks such as text extraction, sentiment analysis, entity recognition, language modeling and conversational AI.




- Build and fine-tune models using frameworks such as Tensor Flow, PyTorch, or Hugging Face.
- Develop and optimize recommendation algorithms using collaborative filtering, content-based filtering, or hybrid approaches.
- Analyze behavior and engagement metrics to improve recommendation accuracy.
- Develop and fine-tune large language models (LLMs) using open-source frameworks such as Lang Chain, ensuring high performance and scalability.
- Build Retrieval-Augmented Generation (RAG) applications independently using open-source LLM models.
- Leverage cloud computing platforms (AWS, Azure, GCP, Data bricks) to deploy, monitor, and optimize models in production environments.

📌 Data Scientist - AI/ML, NLP & Recommendation Systems (Delhi)
🏢 Trigyn Technologies
📍 Delhi