Python Gen AI Engineer

LTM; Pune District, Chennai District; Hybrid; INR 1,500,000 - 2,100,000; Full time

Job summary

LTM is seeking a data science role to design, develop, and deploy machine learning models for both structured and unstructured data in Pune, India. The candidate will build NLP pipelines for document understanding and conversational AI, perform anomaly detection on large financial datasets, and collaborate with crossfunctional teams to translate business needs into data-driven solutions.

The position requires strong Python expertise, deep ML and NLP knowledge, and familiarity with LLMs, vector

Qualifications

• Strong Python experience with data science libraries.
• Experience in ML model development for structured and unstructured data.
• NLP pipeline development and evaluation.
• Familiarity with LLMs and RAG techniques.

Responsibilities

• Design, develop and deploy ML models for structured and unstructured data.
• Build and finetune NLP pipelines for document understanding and conversational AI.
• Perform anomaly detection and pattern recognition in large-scale 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.

Skills

Python

Pandas

Scikit-learn

NumPy

PyTorch

TensorFlow

NLP

Transformers

Text Classification

Summarization

Embeddings

LangChain

OpenAI APIs

Tools

LangChain

Hugging Face Transformers

OpenAI APIs

FAISS

Pinecone

Weaviate

RAG

SQL

Job description

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 managersdomain 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