CareerPlan

Data Scientist

Stockholm, SwedenFull-time2026-10-30 → 2026-11-09

Core

Develop and deploy ML models and LLM-based applications in the cloud, building robust data pipelines and retrieval systems.

Role type

Senior Machine Learning Engineer (MLOps & LLM applications)

Builds

Production ML models, LLM applications, retrieval pipelines, and data aggregation pipelines

Domain

Cloud computing, Machine Learning, Large Language Models (LLM), Data Engineering

Deliverable

production ML models

Required skills

Statistics, Machine Learning, Cloud deployment, MLOps, CI/CD pipelines, SQL, Vector databases, Embedding models, Prompt engineering, Data wrangling

Preferred skills

GCP, DBT

Technologies

GCP, DBT, Vector databases, Embedding models

Responsibilities

Develop and deploy ML models in the cloud, build data wrangling and aggregation pipelines, implement MLOps and CI/CD pipelines, build and deploy LLM-based applications and retrieval pipelines, perform prompt engineering, manipulate and analyze data using SQL

Seniority

Senior, hands-on IC