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speedapp

Machine Learning Engineer

speedapp
Poland · Full-time · Entry

We're coming with opportunity for Machine Learning Engineers to work on an advanced advertising ecosystem in collaboration with a big tech client.

Conditions:

Umowa o Pracę/Employment contract

List of benefits: medical package, dentist care, sports card, life insurance and others

Hybrid mode: 3 days a week, Rondo Daszyńskiego metro station

Responsibilities:

  • Design, test, deploy, and maintain scalable, low-latency machine learning pipelines tailored to the nature of data and computational resources.
  • Ensure model performance on unseen data, addressing issues like bias and overfitting through rigorous validation and testing.
  • Develop a next-gen ML platform capable of handling thousands of training pipelines and billions of daily batch predictions.
  • Explore cutting-edge ML platform technologies, staying ahead of industry trends and experimenting with environment-specific solutions.
  • Streamline deployment and testing processes with CI/CD principles, ensuring high-quality and reproducible ML workflows.

Skills:

  • min. 3 years of industry experience.
  • Familiarity with CI/CD (e.g: Github Actions, Airflow, etc.)
  • Knowledge of ETL or big data tools (e.g. MapReduce, Spark, Flink, Kafka, Docker, Kubernetes, etc.).
  • Familiarity with mainstream ML libraries (e.g., TensorFlow, PyTorch, Spark ML, etc.)
  • Programming skills in Python, Go or other OOP languages.
  • Experience in SQL and databases including SQL query optimization.
  • Experience with unit test frameworks.
  • Familiarity with data structures, algorithms and software engineering principles.

Would you like to learn more? Apply!

Key Skills

Ranked by relevance

c ai machine learning spark sql data structures kubernetes tensorflow big data pytorch python docker scala kafka unity git etl esp lan oop san das nat ha kf
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Posted
Nov 25, 2024
Type
Full-time
Level
Entry
Location
Warsaw
Company
speedapp

Industries

Appliances Electrical Electronics Manufacturing

Categories

Engineering Information Technology

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