Role & responsibilities

- Design develop and deploy machine learning models for structured and unstructured data
- Build and finetune NLP pipelines for document understanding and conversational AI
- Perform anomaly detection and pattern recognition in largescale financial datasets
- Collaborate with crossfunctional teams including product managers domain experts and engineers
- Translate business requirements into data science solutions and present findings to stakeholders
- Ensure model interpretability performance monitoring and continuous improvement
- Stay updated with the latest advancements in AIML and GenAI technologies such as Agentic AI

Preferred candidate profile

- Proficiency in Python and libraries such as pandas scikitlearn NumPy PyTorchTensorFlow




- Solid understanding of machine learning algorithms especially for classification regression and clustering
- Experience with Natural Language Processing NLP transformers embeddings text classification summarization
- Familiarity with LLMs Large Language Models and frameworks like LangChain Hugging Face Transformers OpenAI APIs
- Knowledge of vector databases eg FAISS Pinecone Weaviate and retrievalaugmented generation RAG
- Experience with data preprocessing exploratory data analysis feature engineering and model evaluation techniques
- Handson experience with SQL and working with large datasets

📌 Python Gen AI Engineer (Pune)
🏢 LTM
📍 Pune