- Budapest (HU)
Our client is a service provider running applied projects, face with customers and provide general advice with statistical methods and predictive modelling.
- Work closely with Computer Vision researchers, data scientists and engineers to design, build and maintain scalable data architecture and related tooling including real-time data systems and pipelines
Drive coding and documentation standards, participate in code reviews and be a mission critical member of the team
Help data scientists and researchers write clean and optimal production-ready code, enable release of latest AI models to production
End-to-end responsibility for tools and databases used by R&D team
Automating data extraction, loading, transformation, storage and visualisation of different types of performance, content, emotions and behaviour data
- 2+ years of experience in data engineering, preferably backed up by bachelor's degree in Computer Science, Statistics, Mathematics, Physics or other relevant fields
Comfortable handling large datasets using Python (Pandas, Scikit-Learn, NumPy, Jupyter), Java/Scala and SQL
Experience with “big data” toolboxes like Spark, Hadoop, Hive, Kafka, Cloud technology concepts
Data modelling and query optimisation skills
Experience in building and working with ETL pipelines
Knowledge of data visualisation frameworks (e. g. Matplotlib, Plotly, D3.js)
Proficiency with *nix environment and git
Experience with continuous integration, configuration and documentation management
Strong interpersonal and communications skills
Nice to have:
-Experience with AWS (e.g. EMR, Redshift, Kinesis)
-Experience with Distributed Neural Networks on GPUs
What they offer:
Challenge to create advanced data solutions from the ground up.
Feel how your everyday work greatly impacts company inside and our international clients around the world.
Great working environment and work tools of your choice.
Career and skill growth supported by budget for professional development including the opportunity to visit best technical conferences as a presenter or listener.
Fun team with lots of varying interests and activities that we often join to do together.
Flexible working hours.
Drinks, snacks, fruits, breakfasts, coffee machine and more.
Hirdetési azonosító: 1924159
Engedély szám: 21721-1/2012