Machine Learning Engineer

3 days ago

Bucharest, Bucureşti, Romania Inetum Full time €40,000 - €80,000 per year
Company Description

About Inetum

Inetum is a European leader in digital services. Inetum's team of 27,000 consultants and specialists strive every day to make a digital impact for businesses, public sector entities and society.

Inetum's solutions aim at contributing to its clients' performance and innovation as well as the common good. Present in 19 countries with a dense network of sites, Inetum partners with major software publishers to meet the challenges of digital transformation with proximity and flexibility. Driven by its ambition for growth and scale, Inetum generated sales of 2.4 billion euros in 2024

For further information, please visit  

Job Description

Mission:

The ML Engineer is mainly Python Developer, and he/she will deal with the industrialization of the models made for POC named Predict on the Google Vertex AI platform

Responsibilities:

  • Study and transform data science prototypes
  • Research and implement appropriate ML algorithms and the company's tools
  • Develop machine learning applications according to requirements
  • Select appropriate datasets and data representation methods
  • Run machine learning tests and experiments
  • Perform statistical analysis and fine-tuning using test results
  • Train and retrain systems when necessary
  • Extend existing ML libraries and frameworks

#LI-Hybrid

Qualifications

Profile:

  • Proven experience as a Machine Learning Engineer or similar role
  • Understanding of data structures, data modeling and software architecture
  • Deep knowledge or experience with:
  • SDK Python Ai platform
  • SDK python Google Storage
  • GCP Big Query
  • Git
  • Gitlab
  • Good skills for data processing with:
  • Pandas
  • Familiarity with:
  • Google Vertex AI
  • Jupyter Notebook
  • xgboost
  • scikit-learn
  • SQL
  • Very good level of English.
Additional Information

Benefits:

  • Full access to foreign language learning platform
  • Personalized access to tech learning platforms
  • Tailored workshops and trainings to sustain your growth
  • Medical subscription
  • Meal tickets
  • Monthly budget to allocate on flexible benefit platform
  • Access to 7 Card services
  • Wellbeing activities and gatherings

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