Senior Data Scientist: LLM & Production ML (Amsterdam)

roamlercareers

Amsterdam

Hybrid

EUR 90,000 - 140,000

Full time

11 days ago
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Benefits offered by this job

Salary & pension plan
25 days holiday per year
8% holiday allowance
Home office allowance €250
Company laptop
Flexible work hours
Visa sponsorship available

Job summary

Roamler is seeking a Senior Data Scientist in Amsterdam to drive the AI/ML platform and data science products across multiple EU markets. You will own production ML/NLP pipelines, including embeddings, matching, and LLM-based components, working with data engineers to scale PoCs into production.

The role requires 5+ years in data science, strong Python/Spark experience, cloud hosting (AWS/Azure), and fluency in English.

Qualifications

  • Bachelor's or Master’s degree in a quantitative field or related discipline.
  • 5+ years of hands-on experience as a Data Scientist.
  • Proven track record of bringing LLMs into production including prompt design, evaluation, and cost/latency tradeoffs.

Responsibilities

  • Own and evolve ML/NLP enrichment pipelines and services powering data applications.
  • Design, build, and productionize LLM-based components such as enrichment, classification, and entity matching.
  • Collaborate with data engineers to move PoCs into production and write production-quality code.
  • Identify opportunities in the data lake and align requirements with business stakeholders.

Skills

Python
PySpark
NLP
LLM production
AWS
Azure
Embeddings
Entity matching

Education

Bachelor's/Master's degree

Tools

Spark
Cloud platforms

Job description

Roamler is seeking a Senior Data Scientist in Amsterdam to drive the AI/ML platform and data science products across multiple EU markets. You will own production ML/NLP pipelines, including embeddings, matching, and LLM-based components, working with data engineers to scale PoCs into production.

The role requires 5+ years in data science, strong Python/Spark experience, cloud hosting (AWS/Azure), and fluency in English.

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