Machine Learning Engineer - Remote

Our client, the most respected global technology market research firm operating in over 110 countries worldwide, is looking for a Machine Learning Engineer who will join the Data Science team in Prague. This team applies the most modern technology and methods to connect multiple data streams, and deliver actionable insights to the rest of the company and our customers.

In this role, you will have an opportunity to shape both the product and the role, as you will collaborate closely within the team as well as with other engineering and business groups.

Popis pozice:

• Design and conduct machine learning experiments, evaluate models as well as the overall impact on workflows
• Advise on using appropriate methods, tools, and frameworks, share the expertise in the team
• Follow advances in the state of the art, keep in touch with the professional community
• Focus on inferring original insights and presenting them with novel data storytelling
• Engage with stakeholders and business partners, improve the level of automation, and apply data science best practices to drive efficient delivery of information via a data platform

Profil kandidáta:

Must-have:

• 3+ years of programming in Python, R, Java, Scala, Julia, or other relevant languages
• Experience with machine learning frameworks and platforms like Tensorflow, Keras, PyTorch, Google Colab, Amazon SageMaker
• Portfolio of machine learning projects showcasing interesting approaches and experience
• Expertise in a choice of programming tools for machine learning and exploratory data analysis
• English B2 or higher (both verbal and written).

Nice-to-have:

• Familiarity with frameworks and models for natural language processing, such as Hugging Face, spaCy, BERT, GPT-2, GPT-3
• Familiarity with tools for machine learning on graphs and networks, such as StellarGraph, NetworkX

Nabízíme:

• Remote from Czechia with 1-2 days per month in the Prague office
• International environment with daily usage of English
• Flexible working hours
• Time for self-development + other training
• Employee perks (extra week of vacation, days off between Christmas and New Year's Eve, 3 sick days, Cafeteria system, lots of team events)