Machine Learning Engineer

3 weeks ago


Stockholm, Sweden We IT Global AB Full time
Job Description

As a Machine Learning Engineer, you will be responsible for designing, implementing, and optimizing machine learning models and algorithms to support our data-driven initiatives. You will work closely with cross-functional teams to deploy scalable solutions, enabling smarter decision-making and personalized customer experiences.

Key Responsibilities:

  • Develop and implement machine learning models and algorithms to solve business challenges.
  • Collaborate with data scientists, software engineers, and product teams to integrate machine learning solutions into existing systems.
  • Perform data analysis and feature engineering to enhance model performance.
  • Optimize and fine-tune models for scalability, accuracy, and performance.
  • Monitor and maintain deployed models, ensuring they continue to meet business objectives.
  • Stay updated with the latest trends and advancements in machine learning and AI.
  • Contribute to code reviews, ensuring high-quality, maintainable code.
  • Collaborate on data collection strategies, ensuring the right data is captured for model development.

RequirementsGCP requirements:
  • Familiar with BigQuery, can code SQL
  • Familiar with Cloud composer/airflow
  • Familiar with IAM, service account
  • Familiar with Data catalog
  • Understand Infrastructure as Code
  • Good to have knowledge with Dataflow, K8s, Vertex AI pipeline, Kubeflow pipeline
Cloud diagnostic skills:
  • Deep knowledge of Python programming, practicing OOP, following coding best practices, knowing how to use flake8, mypy, black, SonarQube, and pre-commit
  • Deep knowledge of unit tests and end-to-end tests, familiar with Pytest, fixtures, unit tests, etc.
Unix:
  • Familiar with popular Unix systems, know how to install sth in docker.
  • Familiar with shell
Git:
  • Know how to create PR and solve merge conflicts.
  • Can create CI/CD pipeline in either Github Action or Azure DevOps using best practice
Docker:
  • Deep understanding with Docker
DBT:
  • Deep Knowledge of DBT, preferably with GCP
SQL:
  • Deep knowledge of SQL
  • Deep understanding of Data modeling, system design
Soft skills:
  • Can do attitude, always try to solve sth alone first
  • Problem solving, even if there is sth new that you don't know. You have a proper way to solve it. For example, knowing how to Google is always good.
  • Communication skills with stakeholders and tech ppl.
  • Love code reviews and feedback




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