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- Help design, build and continuously improve the clients online platform.
- Research, suggest and implement new technology solutions following best practices/standards.
- Take responsibility for the resiliency and availability of different products.
- Be a productive member of the team.
- BSc or MSc degree in Computer Science, Engineering, or a related field.
- 4+ years of professional experience as a Machine Learning Engineer.
- Proven experience in developing software products and successfully deploying them to production.
- Extensive coding experience in modern programming languages, with a strong emphasis on Python.
- Expertise in cloud platforms for ML development, preferably Google Cloud and Vertex AI.
- Google Cloud (GCP) certification.
- Proficient in MLOps practices, developing ML pipelines, and deploying ML models to production environments.
- Strong working knowledge of various AI/ML techniques and hands-on experience with different frameworks.
- Experience working with high-volume, heterogeneous data (both batch and stream), and a solid understanding of data structures, databases, and storage technologies.
- Familiar with agile workflows, collaborative teamwork, data-driven development, and responsible experimentation.
- A challenging, innovating environment.
- Opportunities for learning where needed.
Key Skills
Ranked by relevance
cloud
machine learning
data structures
storage
mlops
gcp
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- Posted
- Apr 01, 2025
- Type
- Full-time
- Level
- Mid-Senior
- Location
- Stockholm
- Company
- GeekSoft Consulting
Industries
IT Services
IT Consulting
Categories
Information Technology
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3 roles aligned with this opportunity
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