Perform challenging analysis, design, and programming that involves multi-project leadership and a wide range of responsibilities
Work together with data strategy partners to address the feature development
Lead and carry out the design, development, implementation, and maintenance of sophisticated data warehousing systems and fault-tolerant, optimized data-intensive solutions
Demonstrate a willingness to learn and participate in knowledge-sharing
Job Requirements:
Bachelor s/Master s degree in Engineering, Computer Science (or equivalent experience)
At least 3+ years of relevant experience as an Data Scientist or Engineer
Prolific experience and knowledge of Python NLP (Natural Language Processing) frameworks
Extensive experience applying and implementing solutions with NLP, including Classification, Entity Extraction, training, and parameter optimization is desirable
Experience with HuggingFace and VectorDBs (ideally)
Some experience working with React/Angular and API integration is nice to have
Solid understanding of web app development and model API deployments
Demonstrable knowledge of SQL and NoSQL technologies and concepts
Prior experience working with relational databases, data warehouses, operational data stores, and in-memory databases
Familiarity working with cloud computing platform services along with Azure and GCP (preferred)
Prior DevOps experience is desirable
Demonstrable experience using GitHub or similar Git-based version control tools
Solid understanding of Linux/terminal environment and CLI patterns
Fluent in spoken and written English communication