Design and implement scalable end-to-end data science and data analytics pipelines
Derive analytical insights from a variety of unstructured (formal text, informal text) as well as structured (numerical, categorial, sequential) consumer derived and market focused data
Design evaluation and adaptation strategies to overcome domain or content biases of the applied AI models
Develop monitoring, testing and benchmarking approaches to ensure consistent quality of the models and pipeline outputs
Create, extend, and maintain deployed data analytics applications
Support your colleagues in data science, NLP and data engineering related matters
At Symanto, we create meaningful connections at scale by humanizing how AI understands and talks. Emotional understanding meets artificial intelligence.
