ML Engineer

Description:

We are seeking a highly skilled Machine Learning Consultant to join our team. The consultant will play a crucial role in system design, deploying ML models, and scaling ML solutions. This role also involves MLOps responsibilities and may include tasks related to migration. You will be joining a Machine Learning product team that handles both ML and MLOps work, focusing on customer data and recommendations using the GCP stack.

Key Responsibilities:

• Design and implement robust ML systems.
• Deploy and scale ML models.
• Manage MLOps processes to ensure smooth operation of ML solutions.
• Participate in migration projects as needed.
• Collaborate with the ML product team to enhance customer data and recommendation systems.
  
  

Qualifications:

• Strong understanding of best practices in building quality solutions and software.
• Solid engineering with a passion for coding.
• Working as a Data Engineering or Data Science transitioning to ML Engineering is welcome.
• Proficiency with the GCP stack and related tools.
  
  

IT skills:

GCP 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 about python programing, practice OOP, following coding best practice, know how to use flake8, mypy, black, SonarQube and pre-commit

• Deep knowledge in unit test and end to end test, familiar with Pytest, fixtures, unittest etc

Unix:

• Familiar with popular Unix system, know how to install sth in docker.

• Familiar with shell

Git:

• Know how to create PR and solve merge conflict.

• Can create CI/CD pipeline in either Github Action or Azure DevOps using best practice

Docker:

• Deep understanding with Docker

DBT:

• Deep Knowledge in DBT, preferably with GCP

SQL:

• Deep knowledge of SQL

• Deep understanding with Data modeling, system design

Soft Skills:

• Can-do attitude: Always willing to tackle challenges independently first.
• Problem-solving: Ability to find solutions to new problems, including effective use of resources like Google.
• Communication: Strong skills in interacting with stakeholders and technical teams.
• Code review and feedback: Enthusiastic about reviewing code and providing constructive feedback.
  
  

Why Join Us:

• Work with a talented and supportive team.
• Engage in cutting-edge ML projects.
• Opportunity to grow and develop your skills in a good environment.
  
  

If you are passionate about machine learning and have a strong engineering profile, we would love to hear from you!

Job Title: ML Engineer

Location: Stockholm, Sweden

Job Type: Contract

Trading as TEKsystems. Aston Carter International Ltd UK Filial. Drottninggatan 27,111 51 Stockholm, Sweden. No. 516404-0163. TEKsystems is a company within the Allegis Group network of companies (collectively referred to as "Allegis Group"). Aerotek, Aston Carter, EASi, Talentis Solutions, TEKsystems, Stamford Consultants and The Stamford Group are Allegis Group brands. If you apply, your personal data will be processed as described in the Allegis Group Online Privacy Notice available at https://www.allegisgroup.com/en-gb/privacy-notices.

To access our Online Privacy Notice, which explains what information we may collect, use, share, and store about you, and describes your rights and choices about this, please go to https://www.allegisgroup.com/en-gb/privacy-notices.

We are part of a global network of companies and as a result, the personal data you provide will be shared within Allegis Group and transferred and processed outside the UK, Switzerland and European Economic Area subject to the protections described in the Allegis Group Online Privacy Notice. We store personal data in the UK, EEA, Switzerland and the USA. If you would like to exercise your privacy rights, please visit the "Contacting Us" section of our Online Privacy Notice at https://www.allegisgroup.com/en-gb/privacy-notices for details on how to contact us. To protect your privacy and security, we may take steps to verify your identity, such as a password and user ID if there is an account associated with your request, or identifying information such as your address or date of birth, before proceeding with your request. If you are resident in the UK, EEA or Switzerland, we will process any access request you make in accordance with our commitments under the UK Data Protection Act, EU-U.S. Privacy Shield or the Swiss-U.S. Privacy Shield.