Machine Learning Engineer at Inetum

Bucharest, , Romania -

Full Time

Start Date

Immediate

Expiry Date

30 Dec, 25

Salary

0.0

Posted On

01 Oct, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, Machine Learning, Data Structures, Data Modeling, Software Architecture, Google Vertex AI, GCP Big Query, Git, Gitlab, Pandas, Jupyter Notebook, Xgboost, Scikit-learn, SQL, Statistical Analysis, Data Processing

Industry

IT Services and IT Consulting

Description

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 www.inetum.com 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

Responsibilities

The ML Engineer will study and transform data science prototypes and research and implement appropriate ML algorithms. They will also develop machine learning applications according to requirements and run tests and experiments.