Python Gen AI Engineer

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
• Strong 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