Machine Learning Engineer
Machine Learning Engineer
Company: E-goi
E-goi
Location: Porto
*** Mention DataYoshi when applying ***
At E-goi (Permanent), in Porto, Portugal
Salary: €23.000 - €42.000
Expires at: 2021-05-26
Salary: €23.000 - €42.000
Expires at: 2021-05-26
E-goi is a company specialised in Omnichannel Marketing Automation (Email Marketing, SMS or SmartSMS, IVR, Push app, Push Browser, Loyalty). We are now looking for a Machine Learning Engineer to join our team in Matosinhos, near Porto.
In this role, your responsibilities will include:
- Integrate the Data Engineering and Data Science Team, working on innovative new projects
- Extract, prepare, and clean data
- Create and test Machine Learning models
- Data processing and data analysis
- Create API’s for deploying Machine Learning models
- Support the evolving of created models
Main requirements
- MSc. on Informatics Engineering or similar (mandatory)
- 2+ years of experience developing Artificial Intelligence and Machine Learning projects
- Good knowledge of Python together with standard software development methodologies
- Strong understanding of Machine Learning techniques applying them to solve problems with SkicitLearn, TensorFlow, Keras, or similar
- Experience preparing and cleaning data
- Good knowledge of data analysis and data visualization tools
- Experience working with Agile methodologies
- Autonomous and able to support the decision-making process
Nice to have
- Experience deploying models according to Machine Learning as a Service concepts
- Industry experience creating and productionizing Machine Learning algorithms at scale
- Strong interest in large-scale systems and passionate about solving complex problems
- Experience bringing models in production
- Experience with SQL and NoSQL
- Experience working with Cassandra or similar
Benefits & Perks
- Quarterly performance reviews for rapid career progression
- 1200€ yearly training budget
- Annual Bonus
- Mobile Allowance
- Health insurance
- Extra Holiday on your Birthday
- Homemade Meals
*** Mention DataYoshi when applying ***
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