Description

You will build and deploy production-grade AI solutions for ERP automation and FinTech platforms, covering computer vision, NLP, and generative AI.

This role is on-site.

Responsibilities

• Build and fine-tune ML/DL models using PyTorch or TensorFlow for anomaly detection, forecasting, and predictive tasks.
• Develop computer vision pipelines for object detection and tracking using YOLO family models and OpenCV.
• Create NLP and LLM applications using LangChain, Hugging Face Transformers, and vector databases like ChromaDB for RAG.
• Construct data ingestion and preprocessing pipelines using PySpark and SQL to handle financial, transactional, and video data.
• Containerize models with Docker and deploy scalable microservices via FastAPI on AWS, Azure, or GCP.

Required Skills

• Strong proficiency in Python, NumPy, Pandas, and Scikit-learn.
• Experience with Computer Vision frameworks, specifically YOLOv8, RT-DETR, and OpenCV.
• Hands-on experience with LLMs, NLP, and RAG architectures using LangChain and Hugging Face.
• Proficiency in building ETL pipelines and handling large datasets with PySpark.
• Ability to deploy models on cloud infrastructure (AWS/Azure/GCP) using Docker and containerization.
• Experience integrating AI functionalities into enterprise ERP workflows for automation and risk detection.
• 2 years of tenure in similar AI engineering roles.

Preferred Skills

• Education from an IIT or equivalent top-tier engineering institution.
• Experience with speech-to-text (Whisper) and OCR frameworks for multimodal pipelines.

Key Skills

Education

IIT