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The ideal candidate's favorite words are learning, AI, data, scale, and agility.
Before getting to all that you need to know about this opening I need you to understand that even though we are a portuguese company (you'll find more info about us below), this project will demand a lot of English interactions, therefore is really important that you understand, write and are able to speak it fluently.
What will you be doing?
- Analyze raw data: assessing quality, cleansing, structuring for downstream processing
- Design accurate and scalable prediction algorithms
- Collaborate with engineering team to bring analytical prototypes to production
- Generate actionable insights for business improvements
What will you have to deliver?
- High complexity analytical models (combinatory models, deep learning with data "at rest")
- Code implementation (R/Python)
- Proficient use of Azure and advanced analytical libraries (TensorFlow, Keras, Caffe, PyTorch)
What checkboxes should you fill?
- Between 5-10 years of experience in similar role
- Bachelor's degree or equivalent experience in quantitive field (Statistics, Mathematics, Computer Science, Engineering, etc.)
- Experience with relational and non-relational databases (MySQL, NoSQL, MongoDB, CosmosDB, etc.)
- Experience in developing Machine Learning Projects (Python, R or SAS) and/or GenAI
- Experience with time-series, different AI systems and/or LLMs
- Deployment of models to production environments e models lifecycle management
- Experience with PyTorch and TensorFlow
Salary range: 1.400€ - 2.300€ net/month
Availability: As soon as possible
If you feel like sending something custom and special, you can contact me at [email protected].
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ABOUT PRIMEIT
PrimeIT is a leading company with 19 offices around the globe and with over 18 years of experience in providing IT, Telecommunications, and Engineering technological services.
Specialized in Team Extension, Managed Services, Custom Software, and Nearshore, we currently have a team of over 2350 professionals collaborating on national and international projects across various technologies and countries.
LISBOA | PORTO | MADRID | BARCELONA | PARIS | LYON | NANTES | LILLE | AIX-EN-PROVENCE | BORDEAUX | GRENOBLE | GENÈVE | KATOWICE | WARSZAWA | LONDON | SÃO PAULO
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