Senior Machine Learning Engineer

Publiceringsdatum: 2025-06-30

Vill du arbeta inom naturbruk-branschen? Nu har du chansen att börja jobba som maskinrådgivare/maskinkonsulent hos Semicon Service Nordic AB. Om du vill arbeta heltid hos Semicon Service Nordic AB, har de just nu en tjänst 6 månader eller längre som kan passa dig.

ospecificerad arbetsort är platsen där detta jobb har sin tjänsteort. Semicon Service Nordic AB har just nu en ledig tjänst som maskinrådgivare/maskinkonsulent. Om du vill ta din karriär till nästa nivå, ta en titt på deras jobbannons och se om jobbet passar dig! Här är chansen att bli en del av Semicon Service Nordic AB och jobba som maskinrådgivare/maskinkonsulent! Ansök senast onsdag den trettionde juli 2025.

Jobbannons

Role: Senior Machine Learning Engineer

Location: Stockholm, Sweden (on-site only)

Remote Work: Not available

Application Deadline: 04 July 2025

Assignment Overview

We are looking for a Senior Machine Learning Engineer for an on-site assignment with our client in Stockholm. This is a hands-on technical role ideal for someone with strong Python, SQL, DevOps, and cloud-based data engineering experience.

Key Responsibilities and Skills

Core Cloud & Platform Knowledge

• Proficient in BigQuery and SQL coding
• Familiar with Cloud Composer / Apache Airflow
• Knowledge of IAM (Identity and Access Management) and Service Accounts
• Experience with Data Catalog
• Understanding of Infrastructure as Code concepts
• Bonus: Experience with Dataflow, Kubernetes, Vertex AI Pipelines, Kubeflow Pipelines

Cloud-Agnostic Technical Skills

1. Python Development:

• Strong command of Python with OOP principles
• Follows best coding practices and uses tools like flake8, mypy, black, SonarQube, and pre-commit
• Skilled in unit testing and end-to-end testing using tools such as pytest, fixtures, unittest, etc.

2. Unix:

• Comfortable working in Unix environments
• Able to install software in Docker containers
• Proficient in shell scripting

3. Git & CI/CD:

• Experience with Git (creating pull requests, resolving merge conflicts)
• Able to build CI/CD pipelines using GitHub Actions with industry best practices

4. Docker:

• In-depth understanding of Docker and containerized environments

5. DBT (Data Build Tool):

• Strong experience with DBT, ideally within Google Cloud Platform (GCP)

6. SQL & Data Engineering:

• Advanced SQL skills
• Solid grasp of data modeling and system design