Machine Learning Engineer

This is a hybrid role blending data science and software engineering. The successful candidate will be responsible for developing and maintaining efficient supply chain solutions using cutting-edge technologies and best practices.

Skills and Technology Used
Programming Languages: Proficiency in Python is required.
Database Management: Knowledge of SQL and BigQuery is beneficial.Cloud Environments: Familiarity with Azure (especially Databricks) and GCP environments is essential.
Data Visualization tools: PowerBI and Looker (good to know, but not mandatory)Development Tools: Coding: VScode, Version Control: GitHub, Work Management: Jira, Miro Board

Top Skills
Coding Practices: Efficient code maintenance through unit tests and regression tests.Software Engineering Practices: Adherence to best practices in software engineering.

Merital Knowledge
Machine Learning: Basic understanding is advantageous but not mandatory.Optimization Techniques: Knowledge of linear programming (optimization/LP solver) is a plus.