Senior Artificial Intelligence / Machine Learning Engineer - Data Modeling

Description :

Key Responsibilities (What You'll Do) :

• You will be responsible for the full lifecycle of AI / ML services, from proof-of-concept to production deployment :
• LLM & RAG System Development : Design, implement, and optimize LLM + Vector Database-based Retrieval-Augmented Generation (RAG) systems to power sophisticated, highly accurate, and domain-specific chat and knowledge retrieval applications.
• Agentic AI Implementation : Architect and develop Agentic AI frameworks and systems tailored for complex FinTech use cases (e.g., automated decision-making, intelligent workflow management).
• Model Training & Fine-Tuning : Conduct research and execute the training and fine-tuning of state-of-the-art transformer-based NLP models (LLMs) for critical classification, summarization, and generation tasks.
• Information Extraction Pipelines : Build and optimize high-throughput, accurate document classification and information extraction pipelines, ensuring data quality and system reliability.
• Computer Vision Integration : Apply Computer Vision (CV) and OCR techniques to tackle document- and image-based challenges, enhancing our ability to process complex financial documentation.
• Production Deployment : Deploy, monitor, and maintain scalable, low-latency ML services using modern MLOps principles and cloud environments (e.g., AWS, GCP, Azure).
• Code Quality : Uphold the highest standards for code quality, system performance, and semi-OCR methodology, ensuring robust and maintainable infrastructure.

Required Qualifications (What Were Looking For) :

Core Experience & Technical Skills :

(ref : hirist.tech)