Senior Data Scientist: ML, MLOps & LLM Apps in Cloud

Techrytera; Stockholms kommun; Presencial; SEK 700.000 - 1.100.000; Jornada completa

Descripción de la vacante

Techrytera AB is seeking a senior Data Scientist/ML Engineer to support client-facing data science initiatives. You will design and deploy ML models in production, utilize vector databases and embeddings, and build robust data pipelines across cloud environments.

We value 5+ years in data science or applied ML, strong statistics, and hands-on MLOps experience with CI/CD in GCP, plus SQL proficiency and DBT or similar tools.

Formación

• Bachelor’s or Master’s degree in Statistics, Engineering, Computer Science, or a related field.
• 5+ years of experience working in data science or applied machine learning.
• Strong theoretical and practical knowledge in statistics and machine learning.
• Proven experience developing and deploying ML models in the cloud (beyond notebook-based coding and execution).
• Hands‑on experience with MLOps and CI/CD pipelines, ideally on GCP.
• Strong SQL skills for data manipulation and analysis.
• Ability to understand diverse data sources and build robust data wrangling and aggregation pipelines.
• Practical experience with vector databases and embedding models. Familiarity with DBT or other data transformation tools.
• Hands‑on experience building and deploying ML and LLM based applications, retrieval pipelines, and prompt engineering.

Conocimientos

Statistics

Machine learning

SQL

Data wrangling

Vector databases

Embedding models

MLOps

CI/CD pipelines

GCP

Retrieval pipelines

Prompt engineering

Cloud deployment

Educación

Bachelor’s or Master’s degree in Statistics, Engineering, Computer Science, or related field

Herramientas

DBT

GCP

Descripción del empleo

Techrytera AB is seeking a senior Data Scientist/ML Engineer to support client-facing data science initiatives. You will design and deploy ML models in production, utilize vector databases and embeddings, and build robust data pipelines across cloud environments.

We value 5+ years in data science or applied ML, strong statistics, and hands-on MLOps experience with CI/CD in GCP, plus SQL proficiency and DBT or similar tools.