About the job Machine Learning Engineer
Company Description
We are a consulting company with a bunch of technology-interested and happy people!
We love technology, we love design and we love quality. Our diversity makes us unique and creates an inclusive and welcoming workplace where each individual is highly valued.
With us, each individual is her/himself and respects others for who they are and we believe that when a fantastic mix of people gather and share their knowledge, experiences and ideas, we can help our customers on a completely different level.
We are looking for you who want to grow with us!
With us, you have great opportunities to take real steps in your career and the opportunity to take great responsibility.
Job description:
Supply Chain Optimization Specialist
Experience: 4 to 9 years
Role Description: 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
Additional Knowledge:
- Machine Learning: Basic understanding is advantageous but not mandatory.
- Optimization Techniques: Knowledge of linear programming (optimization/LP solver) is a plus.
Requirements:
- Coding Practices: Efficient code maintenance through unit tests and regression tests.
- Software Engineering Practices: Adherence to best practices in software engineering.
Required cloud certification: Yes
Additional information
We are looking for you who:
Start: Immediately
Location: Bangalore
Form of employment: Full-time until further notice, we apply 6 months probationary employment
We interview candidates on an ongoing basis, do not wait to submit your application.