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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.

USIL Technologies

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