AI / ML

Have you worked on real life, practical implementation of AI / ML projects?
Are you interested in using AI / ML to disrupt how humans and teams work and collaborate?
Then we're looking for you!

Highlight

• We are building an information management system based on a fast text interface.
• Our goal is to make editing a complex information graph as simple as writing a text document.
• Our AI components will work interactively with users to enhance their text input to create a semantically tagged and interlinked data graph
• Potential areas for assistive AI are clustering, POS tagging, entity recognition, classification, summarization , de-duplication, auto-suggestions of content transformations and actions and more.
• We are a product startup, not an AI research lab.
• You are able to navigate the current state of tools and libraries to implement practical solutions, while keeping an eye on new research papers for future opportunities.
• You are motivated by being part of the product development team that aims to delight users with working features.

Responsibilities

• As part of a close team covering Design, Product and Engineering
• Proof of concept explorations and prototypes that demonstrate what can be achieved with AI-based features as part of our UI & Product.
• Realization of production quality implementations of selected AI features based on open source or commercially available libraries, models and services
• Tracking the developing field of AI, with a focus on identifying realistic approaches and solutions related to the area that Tagr addresses

Required Skills

• Experience in applying machine learning techniques particularly within Natural Language Processing
• Strong analytical and problem-solving skills.
• Solid software engineering skills across multiple languages
• Deep understanding of ML techniques such as: Classification, clustering, deep learning, word embedding, language models.
• Proven ability to apply, debug, and develop machine learning models for real-world applications.
• An overview of tools such as TensorFlow, Pytorch, Keras, SparkML with deep mastery of at least one of the leading deep learning frameworks.

About you

• You're open and honest with others and with yourself
• You're curious
• You're a life-long learner
• You get a thrill when you can dig in deep, but you impatiently get things done
• You care about understanding the challenges humans and teams face in everyday work
• You love building stuff

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