Responsibilities

1. Use machine learning and analytical techniques to build prediction models for document intelligence solutions.
2. Research and evaluate pioneering machine learning and statistical models
3. Collect data and extract features to build quality models
4. Deliver quality solutions as libraries and microservices

Minimum qualifications

1. Master degree in Computer Science, related technical field, or equivalent practical experience
2. At least five years of relevant experience in data processing and data analysis
3. Experience with one general-purpose programming language (e.g., Python, Java, C/C++)
4. Experience in data processing of textual and numerical data
5. Experience designing data models using SQL and NoSQL database management systems
6. Experience with Linux/Unix environments and containers
7. Experience in DevOps or CI/CD
8. Self-motivated and responsive to multiple challenges in a fast-moving team environment

Preferred qualifications

1. Advanced degree in engineering or technical/scientific field of study
2. Experience in algorithms and libraries of NLP (Natural-language processing) and CV (Computer vision)
3. Familiar with attention-based transformers NLP models and algorithms
4. Experience building and operating large scale distributed systems or applications
5. Excellent documentation, communication, organizational, and analytical skills
6. Experience in MLOps