Data Scientist / Data Engineer
⚲ Malmö Metropolitan Area
Do uzgodnienia
Wymagania
- Copywriting (content)
- Machine Learning (ML)
- training
- Spark
- Artificial Intelligence (AI)
- Python
- Data Engineering
- Scala
- Pandas (Python)
Opis stanowiska
What we're looking for
• Python skills with Polars and/or Pandas
• NLP and fine-tuning lightweight ML models
• Scala and Spark experience for data engineering tracks
• Designing, building, and evaluating data pipelines
• Familiarity with agent frameworks — LangGraph
• Ability to adapt and evaluate ML systems across different locales and data domains
• Pipeline orchestration and optimisation experience for large-scale, multi-source ingestion
Example of work tasks
• Build Spark pipelines to fetch web content using fine-tuned lightweight ML models
• Fine-tune ML models from base models to perform task-specific attribute extraction; build training data, manage quality, and evaluate performance end-to-end and at component level
• Expand an internal AI research agent to new geographic markets, adapting logic and evaluating performance per locale; add support for new place attributes including evidence collection and reasoning logic
These skills are important as it is a short term assignment & it is crucial to quick come up to speed and be open to changes in work tasks during these months:
* Learning agility — Willing to pick up new technology, work with legacy code, and adapt quickly
* Communication — Easy to talk to, take feedback without defensiveness.
* Problem-solving clarity — Explain their thinking, ask clarifying questions
* Hands-on experience using Claude Code or similar GenAI tool in day-to-day work.
Start date: ASAP
End date: 30th of September
Location: Malmö (onsite work)
• Python skills with Polars and/or Pandas
• NLP and fine-tuning lightweight ML models
• Scala and Spark experience for data engineering tracks
• Designing, building, and evaluating data pipelines
• Familiarity with agent frameworks — LangGraph
• Ability to adapt and evaluate ML systems across different locales and data domains
• Pipeline orchestration and optimisation experience for large-scale, multi-source ingestion
Example of work tasks
• Build Spark pipelines to fetch web content using fine-tuned lightweight ML models
• Fine-tune ML models from base models to perform task-specific attribute extraction; build training data, manage quality, and evaluate performance end-to-end and at component level
• Expand an internal AI research agent to new geographic markets, adapting logic and evaluating performance per locale; add support for new place attributes including evidence collection and reasoning logic
These skills are important as it is a short term assignment & it is crucial to quick come up to speed and be open to changes in work tasks during these months:
* Learning agility — Willing to pick up new technology, work with legacy code, and adapt quickly
* Communication — Easy to talk to, take feedback without defensiveness.
* Problem-solving clarity — Explain their thinking, ask clarifying questions
* Hands-on experience using Claude Code or similar GenAI tool in day-to-day work.
Start date: ASAP
End date: 30th of September
Location: Malmö (onsite work)
🔍 Dekoder Ogłoszenia
🔴
short term assignment & it is crucial to quick come up to speed and be open to changes in work tasks during these months
Praca jest tymczasowa, a od kandydata oczekuje się szybkiego wdrożenia i elastyczności w zakresie zmieniających się obowiązków.
🔴
work with legacy code
Będziesz pracować z istniejącym, potencjalnie przestarzałym kodem, który może wymagać zrozumienia i modyfikacji.
🟡
lightweight ML models
Prawdopodobnie chodzi o modele, które są mniejsze i mniej złożone, co może oznaczać ograniczone możliwości lub potrzebę optymalizacji.
🟡
agent frameworks — LangGraph
Oczekuje się znajomości konkretnego, być może niszowego narzędzia do budowania agentów AI.
🟡
adapt and evaluate ML systems across different locales and data domains
Będziesz musiał dostosowywać i oceniać systemy ML w różnych kontekstach geograficznych i typach danych, co może być złożone.