Assignment Description
We are looking for a Machine Learning Engineer (Mid–Senior level)
What you will work on
- Build and operate machine-learning–based recommendation and personalization systems
- Develop end-to-end ML pipelines including data processing, feature engineering, and model orchestration
- Design, deploy, and monitor ML models in production environments
- Build and maintain high-availability, customer-facing APIs
- Work with MLOps tooling on GCP, including Vertex AI Pipelines or Kubeflow Pipelines
- Manage and optimize data workflows using BigQuery, SQL, and DBT
- Implement infrastructure as code and manage cloud resources securely
- Collaborate closely with data scientists, engineers, and product teams
- Ensure high code quality through testing, code reviews, and engineering best practices
- Continuously improve performance, scalability, and reliability of ML systems
What you bring
Mandatory requirements
GCP & MLOps
- Experience with Vertex AI Pipelines or Kubeflow Pipelines
- Experience working with BigQuery
- Advanced SQL skills
- Experience with Cloud Composer or Airflow
- Experience with IAM, service accounts, and cloud security configuration
- Experience with Data Catalog
- Understanding of Infrastructure as Code (e.g. Terraform or similar tools)
Python & engineering practices
- Deep knowledge of Python programming and object-oriented design
- Experience following coding best practices (flake8, mypy, black, SonarQube, pre-commit)
- Strong experience with unit testing and end-to-end testing (Pytest, fixtures, unittest)
Data engineering
- Deep knowledge of DBT (preferably on GCP)
- Strong SQL skills
- Solid understanding of data modeling and system design
DevOps / platform
- Proficiency with Unix-based systems
- Ability to install and configure components in Docker environments
- Strong shell scripting skills
- Experience with Git (PRs, code reviews, merge conflict resolution)
- Experience building CI/CD pipelines (e.g. GitHub Actions)
- Deep understanding of Docker
Soft skills
- Strong problem-solving mindset and ability to learn new technologies quickly
- Proactive and structured approach to complex challenges
- Strong communication skills with both technical and non-technical stakeholders
- Enjoys giving and receiving constructive code review feedback
- Comfortable working in teams operating high-availability, customer-facing systems
