Your new company
Our client is looking for Machine Learning Engineer who will join our Data Science team in Prague, Czech Republic.
Your new role
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
- 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
What you'll need to succeed
- 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 you'll get in return
- 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 x-mas
- 3 Sick days
- Cafeteria system, Lunch credit
What you need to do now
If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now.
If this job isn't quite right for you but you are looking for a new position, please contact us for a confidential discussion on your career. #1171210