About This Role
Driving excellence and standardization across the data science team is a core part of this role, with a focus on skills development, training, and career progression. This position involves optimizing models for performance, scalability, and efficiency, and providing strategic and technical direction for AI/ML analytic efforts.
Responsibilities
- Focus on NLP, information retrieval, AI architectures, and document analysis
- Optimize models for performance, scalability, and efficiency
- Take research whitepapers to production
- Provide solid technical leadership to drive the Document Analysis team, which includes both data scientists and AI engineers
- Drive excellence and standardization across the data science team with a focus on skills development, training, and career progression
- Provide strategic and technical direction aligned to analytic efforts around AI/ML
- Stay current on internal and external technological advances in AI and advanced analytics that can be applied to document processing
- Drive inclusion and diversity as part of enhancing continued development of a solid diverse team culture
Requirements
- Bachelor's degree in Data Science or a related discipline, or equivalent professional experience
- Proven experience utilizing version control technologies such as Git, Docker, and cloud platforms including AWS, Microsoft Azure, or Google Cloud Platform (GCP)
- Demonstrated familiarity with REST APIs and microservices architectures
- Proven experience integrating AI and machine learning models into production environments
- Proven experience with text preprocessing, vector embeddings, vectorization techniques, and text analytics
- Demonstrated proficiency in Python, data science libraries, and rapid prototyping methodologies
- Proven ability to evaluate, optimize, and fine-tune natural language processing (NLP) models and optical character recognition (OCR) solutions
- Demonstrated solid problem-solving skills, algorithmic thinking, and the ability to approach complex technical challenges in a structured and analytical manner
- Must currently be eligible to work and remain indefinitely without any restrictions in the country to which you are making an application
Nice to have:
- Master's degree, postgraduate qualification, or PhD in Data Science or a related discipline
- Proven experience working with document OCR technologies, AI-powered search solutions, context-layer architectures, or similar technologies
- Demonstrated familiarity with CI/CD pipelines and MLOps practices
- Proven experience applying software engineering principles and best practices
Important Details
