Machine Learning Engineer
Capitole
28 days ago
Role details
Contract type
Permanent contract Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
English Experience level
IntermediateJob location
Tech stack
Agile Methodologies
Amazon Web Services (AWS)
Data analysis
Azure
Cloud Computing
Python
Machine Learning
Scrum
SQL Databases
Data Processing
Feature Engineering
PyTorch
Large Language Models
Generative AI
Pandas
Scikit Learn
Information Technology
Databricks
Job description
We are looking for a Senior Data Scientist / Machine Leanring Engineer to join our team. You will work on a IT sector, developing models and conducting data analysis. Your role will be crucial in all phases of the predictive model lifecycle, from data collection and cleaning to deployment in production., * Develop and implement ML models, particularly in the NLP or GenAI space
- Write clean, modular, and efficient Python code following best practices
- Collaborate with MLEs / Data Scientists and cross-functional teams to move models into production
- Support data processing and feature engineering efforts
- Develop machine learning models and data processing pipelines.
- Analyze, clean, and handle complex data.
- Evaluate the performance of existing models and solutions.
- Develop and deploy models in the cloud.
- Mentor the team.
- Create new solutions and approaches.
- Engage in critical thinking and deep analysis of challenges.
? Tech Stack
- Python (advanced, structured coding) and SQL.
- Databricks, pandas, scikit-learn, PyTorch, or similar libraries
- Experience with NLP and/or Generative AI (LLMs) is highly valued
- Predictive models.
- Cloud platforms (Azure, AWS).
- Document models and data analysis.
- Experience working with Scrum/Agile methodologies.
? What's in it for you?
? €1200 individual training budget for languages, certifications, books, and more
Requirements
? ? Experience: 3-4 years in Machine Learning or Data Science
? Language: English fluency required (team communication is in English)