RC FS-MS - EY COMPLY and RVS- AI Engineers-Senior

• Collaborate with cross-functional teams (product, business, engineering) to translate business requirements into scalable AI solutions.
• Design and implement AI/ML models for information extraction from unstructured and semi-structured documents, including complex PDFs.
• Build and optimize Generative AI solutions using GPT architectures, including prompt engineering, embeddings, and agent-based workflows.
• Develop efficient pipelines leveraging techniques such as batching, caching, asynchronous processing, and orchestration for large-scale document processing.
• Train, fine-tune, and evaluate machine learning models with a focus on NLP and document intelligence use cases.
• Apply deep learning techniques and neural networks to improve extraction accuracy and system performance.
• Integrate AI models into production systems via APIs and scalable architectures.
• Communicate technical concepts and solution approaches effectively to both technical and non-technical stakeholders.

Skills and attributes for success

• 4–6 years of hands-on experience developing and deploying AI/ML solutions.
• Strong expertise in Natural Language Processing (NLP), particularly for document parsing and information extraction from unstructured data.
• Proficiency in Generative AI concepts: GPT models, prompt engineering, embeddings, and agentic architectures.
• Experience with model training and fine-tuning for NLP use cases.
• Solid programming skills in Python.
• Hands-on experience with deep learning frameworks such as TensorFlow, PyTorch, or equivalent.
• Strong understanding of data handling and integration technologies including SQL, REST APIs, and JSON.
• Familiarity with cloud platforms (preferably Azure) and AI services.
• Exposure to DevOps practices and deployment pipelines.
• Excellent communication skills with the ability to translate complex AI concepts into business impact.