IDC is seeking a Machine Learning Engineer who will join our Data Science team in Prague, Czech Republic .
The IDC Data Science team applies the most modern technology and methods to connect multiple data streams, discover novel information, and deliver actionable insights to the rest of the company and to our customers. We combine knowledge graphs, natural language processing, machine learning, and data visualization to solve a wide range of problems entailed in providing advanced market intelligence and advisory services.
In the Machine Learning Engineer role, you will come up with fresh approaches to address emerging business needs and innovate how insights are derived from data and communicated via a data platform. You will have an opportunity to shape both the product and the role, as we collaborate closely within the team as well as with other engineering and business groups.
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, apply data science best practices to drive efficient delivery of information via a data platform
Bachelor’s or higher degree or considerable work experience in Artificial Intelligence, Computer Science, Software Engineering, Mathematics, Econometrics, or related fields
3+ years of programming in Python, R, Java, Scala, Julia, or other relevant languages
Portfolio of machine learning projects showcasing interesting approaches and experience
Expertise in a choice of programming tools for machine learning and exploratory data analysis
Experience with machine learning frameworks and platforms like Tensorflow, Keras, PyTorch, Google Colab, Amazon SageMaker
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
Fluency in English and strong communication skills – verbal, written, and ever learning
What are we offering?
International environment with daily usage of English
Time for self-development + other trainings
Flexible working hours + Home Office (most of the time)
5 weeks of vacations + days off during 23.12. -31.12.
3 Sick days
Cafeteria system, Lunch credit