Senior Data Engineer

Key Responsibilities

• Lead research and engineering efforts in document intelligence, including OCR post-processing, document classification, information extraction, and layout understanding.
• Design and implement scalable machine learning pipelines and data architectures that support document AI workloads in production environments.
• Define the technical vision and roadmap for document intelligence capabilities across the organization.
• Collaborate with cross-functional teams to translate business requirements into ML system designs, model architectures, and data platform decisions.
• Evaluate, adapt, and extend state-of-the-art NLP and vision-language models for document understanding tasks.
• Establish best practices for ML experimentation, model versioning, evaluation, and deployment (MLOps).
• Mentor and provide technical guidance to engineers and researchers across the team.
• Drive data architecture decisions that support both model training pipelines and downstream analytics and reporting needs.
• Publish or present research findings internally and, where appropriate, externally.

Qualifications

• 10+ years of professional experience in R&D, machine learning, applied research, or data engineering.
• Deep expertise in Document Intelligence — including OCR, document parsing, layout analysis, information extraction, and classification.
• Strong data architecture background, including experience designing data lakes, feature stores, and ML data pipelines.
• Proficiency in Python and relevant ML frameworks (PyTorch, TensorFlow, HuggingFace Transformers, etc.).
• Experience taking ML models from research and prototyping through to production deployment at scale.
• Solid understanding of NLP fundamentals and modern large language/vision-language model architectures.
• Experience with cloud-based ML platforms and infrastructure (AWS, GCP, or Azure).
• Strong written and verbal communication skills — ability to convey complex technical concepts to both technical and non-technical stakeholders.