We’re looking for a skilled hands-on senior data scientist with substantial experience in deep learning. If you join our team in this role, you’ll have a unique opportunity to shape our flagship products and influence strategic decisions on our long-term course. You’ll be deeply in hands-on delivery, but you’ll also help your peers grow by being an essential mentor. Your role structure will be around 40 % hands-on coding, 20 % architecture and design of complex ML products and pipelines, 20 % problem cracking and mentoring of other peers, 20 % expert involvement in ML experiments in various domains, including our medical AI stream. If you’re the right candidate, you’re a fast thinker with the “work hard, play hard” attitude, you’re a passionate innovator and you’re good in explaining what you do and why you do it.
RESPONSIBILITIES
Using mostly Python+TensorFlow in Azure
Querying telco big data in Azure
Designing ML components of more complex software products (incl. reinforcement learning, LSTM/VAE encodings, etc.)
Cracking challenging problems of how to develop, productionalize and deploy reinforcement and deep learning models over messy telco big data
Providing ML expert assistance to Head of Product, co-shaping our flagship ML product for customer lifecycle management
Serving as a deep learning Tech Lead, mentoring other team members and help them grow
Co-creating efficient engineering culture
Helping our Medical AI research team in cracking various deep learning issues
Reporting directly to the AI Centre management
Representing us in the machine learning community (e.g., meetups, workshops, conferences, tutorials, blogs, etc.)
Staying up to date with state-of-the-art advances in machine learning
QUALIFICATIONS
Master’s degree and/or relevant work experience
4+ years in the field
Strong analytical skills and creativity
Excellent coding skills in a major programming language relevant to the field (Python, R, etc.)
Excellent skills with one of the major ML packages, and preferably with TensorFlow too
Familiarity with SQL
Strong experience with practical data science and hands-on involvement with deployed ML pipelines in a business environment
Proven and demonstrable track record (e.g. private GitHub, Kaggle achievements, hackathons, redacted/anonymised demonstration of previous data science projects in real business, etc.)
Outstanding ability to turn ideas into algorithms
Excellent communication skills
English in full professional proficiency (you will communicate with non-Czech speakers very often)