Data/ MLOps Engineer

2 dni temu

Warszawa, Mazovia, Polska Luxoft Poland Pełny etat

Project Description:

We are a leading international bank focused on helping people and companies prosper across Asia, Africa and the Middle East.

To us, good performance is about much more than turning a profit. It's about showing how you embody our valued behaviors - do the right thing, better together and never settle - as well as our brand promise, Here for good.

We're committed to promoting equality in the workplace and creating an inclusive and flexible culture - one where everyone can realize their full potential and make a positive contribution to our organization. This in turn helps us to provide better support to our broad client base.

About the Team:

Financial Markets (FM) has expertise combined with deep local market knowledge to deliver a variety of risk management, financing and investment solutions to our clients. The FM team offers capabilities across origination, structuring, sales, trading and research. Offering a full suite of fixed income, currencies, commodities, equities and capital markets solutions, FM has firmly established itself as a trusted partner with extensive on-the-ground knowledge and deep relationships.

Responsibilities:


• Streamlines and automates data science products lifecycle from development to deployment and monitoring.


• Designs, develops and maintains tools enabling reproducible experimentation, models versioning, automated deployment, serving etc.


• Tests, refactors, optimizes, and packages the code developed by data scientists. Improves, deploys, monitors and maintains developed models.


• Builds new integrations with FM systems (PDS, ION, S2BX) allowing to publish signals generated by the data science modules.


• Provides support and guidance to other team members on MLOps best practices.

Mandatory Skills Description:


• 3+ years of experience developing and deploying classical supervised models, ideally in on-prem environments


• Proficient with main Python analytics and ML libraries (numpy, pandas, scikit-learn, keras / tensorflow / pytorch)


• Experience with MLOps platforms like MLFlow / Databricks


• Experience with Linux (especially RedHat distribution) and version control (git)


• Experience with containerization technologies (docker/podman)


• Familiarity with DevOps pipelines (especially Azure DevOps Services)


• Eager to learn

Nice-to-Have Skills Description:


• Experience in data modelling and database management. Experience managing RDBMS (preferably PostgreSQL).


• Familiarity with Airflow or similar data orchestration services


• Familiarity with distributed processing frameworks, esp. Hadoop and Spark/PySpark


• Familiarity with kdb+/q


• Familiarity with financial markets, esp. fixed income

Languages:

English: C1 Advanced

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