Machine Learning Engineer

Company teamPosition

Our client, is a middle-sized company with a challenging vision and enthusiastic team. Their ambition is to help other businesses to turn the data to their advantage - they stand for AI-based data aggregation and data profiling as well as digitisation and automation of processes. They've been developing great products that could be seamlessly integrated into core corporate systems. Now they are searching for a new colleague to their industry-oriented team that will help them to reach their mission.


Work Duties:

  • coding, testing and debugging

  • creating, modifying and applying machine learning algorithms in innovative ways on the industrial topics

  • exploring datasets, design data pipelines, create visualizations and create end-to-end ML solutions

  • providing valuable data insights to address the customer business challenges using visualization

  • communicating with project stakeholders (with technical and non-technical) and explaining them selected approach

  • optimalization, scraping, vizualization

  • influencing the direction of their product development

Pineapple
Contract Type

B2B / Full Time Job

Pineapple
Level

Senior

Pineapple
Location

Prague/Remote

Pineapple
Salary

100 000 - 120 000CZK /month

Pineapple
Industry

Manufacturing and financial services industries

Company team

Company teamRequirements

Must-have stack:

  • Fluent in Python and SQL + experience with Pandas, NumPy, Sklearn, Matplotlib/Seaborn, Git 

  • Algorithms and applied statistics knowledge, ability to design and write scalable algorithms for various complex problems

  • Machine Learning

  • Knowledge of a computational framework such as TensorFLow, Pytorch

  • Experience with Keras or similar high-level APIs

  • Optimization

  • Knowledge of basic optimization techniques and gradient descent and back-propagation

  • Knowledge of commonly used loss functions/metrics and their properties (RMSE, MAE, MAPE, crossentropy, etc.)

  • Visualization skills

  • Experience with data structures

  • Intermediate knowledge of graph theory

  • Experience with docker

  • Fluent communication in English (written + spoken) 

  • Highly appreciated is hands-on experience from the industry, knowledge of ERP or PLM systems 

 

Nice-to-have stack:

  • Linux administration skills

  • Knowledge of C/C++ and cython

  • Knowledge of Rust, R and Java

  • Experiences with Kubernetes

  • Experience with Julia

  • CI/CD v Atlassian stack (Bamboo, Bitbucket)

  • German language



Why should the candidate work at our client:

  • Nice opportunity to work in a German company (and DACH customers)

  • Own innovative product

  • Non-corporate culture

  • Remote working culture

  • Flexible business hours (the candidate should fit within 6-18 time-frame)

  • English is the business language


Benefits:

  • Innovative mind

  • Flexibility in working culture

  • Friendly and motivated team

  • System of benefits

  • Educational system

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