ML Engineer
emagineSweden6 hours ago
Full-timeRemote FriendlyEngineering, Information Technology
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Start date: ASAP
Duration: 3-6 months
Location: Remote from Sweden ok
We are looking for a senior ML Engineer for our client, especially someone with expertise within MLOps.
The company supports large clients in optimizing cash flows etc. A key priority for this person is to enhance the precision of cash flow forecasts while expanding internal capabilities in data- and machine learning.
Experience in the fintech sector, or technology focused companies, is highly valued. This person will work in the intersection of ML and AI, emphasizing MLOps and the deployment of machine learning models into production. Expertise in time series forecasting is considered a big plus. Also some background within data science could be beneficial.
You will join a company with a strong engineering team and collaborate with another ML Engineer on this project.
Tech stack:
Duration: 3-6 months
Location: Remote from Sweden ok
We are looking for a senior ML Engineer for our client, especially someone with expertise within MLOps.
The company supports large clients in optimizing cash flows etc. A key priority for this person is to enhance the precision of cash flow forecasts while expanding internal capabilities in data- and machine learning.
Experience in the fintech sector, or technology focused companies, is highly valued. This person will work in the intersection of ML and AI, emphasizing MLOps and the deployment of machine learning models into production. Expertise in time series forecasting is considered a big plus. Also some background within data science could be beneficial.
You will join a company with a strong engineering team and collaborate with another ML Engineer on this project.
Tech stack:
- Python
- GCP
- Time series libraries: GlueonTS
- Orchestration: Airflow (preferred), Dagster, or Temporal
- Data processing: Polars, Spark or DuckDB
- Data ingestion: Airbyte, Fivetran, or dltHub
- Data warehousing: BigQuery, Clickhouse, or Snowflake
- Startup mindset: Ability to work with ambiguity, make pragmatic decisions, and balance immediate needs with future scale.
- Strong ownership mentality with the ability to work independently but also collaboratively drive projects to completion.
Key Skills
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