Description

Design and deploy AI-powered compliance screening platforms that evaluate regulatory adherence across PDFs, emails, social media, and video.

This role is hybrid.

Responsibilities

• Build scalable systems using multimodal extraction techniques like OCR, layout parsing, and vision-language models.
• Translate regulatory frameworks into machine-interpretable logic, including rule classifiers, risk scoring, and violation detection.
• Evaluate and implement LLMs using prompt engineering, fine-tuning, and hallucination mitigation strategies.
• Establish best practices for system architecture, coding standards, and MLOps pipelines.
• Collaborate with legal, compliance, and product teams to ensure system integrity.

Required Skills

• 8+ years in software engineering or machine learning with production AI/ML deployment experience.
• Strong expertise in NLP, large language models, and retrieval-augmented generation (RAG).
• Proficiency in Python and cloud platforms (AWS, GCP, or Azure).
• Experience with MLOps pipelines and multimodal AI frameworks.
• Bachelor’s or Master’s degree in Computer Science, AI/ML, or related field.

Preferred Skills

• PhD in Computer Science, AI, or ML.
• Familiarity with compliance principles, explainable AI (XAI), and industry regulations.

Key Skills

Education

Any Graduate