Senior Machine Learning Engineer

4 tygodni temu


Emilii Plater Warszawa, Polska Sigma Software Pełny etat

We're seeking a seasoned Machine Learning Engineer to join our team at Sigma Software. As a key member of our organization, you'll be working on complex systems that combine various clients, interesting projects, and activities to grow your professional skills.

About the Role:

This is a unique opportunity to work with a community-powered fashion marketplace with over 30 million registered users across 150+ countries. Our client is committed to diversity, inclusion, and fair recruitment processes, supporting visa sponsorship for certain roles and skill sets.

Key Responsibilities:
  • Collaborate with our client's team to deliver major solution features
  • Participate in requirements gathering & clarification process, proposing optimal architecture strategies, lead the data architecture implementation
  • Develop core modules and functions, designing scalable and cost-effective solutions
  • Perform code reviews, writing unit, and integration tests
  • Scale the distributed system and infrastructure to the next level
  • Help our client's research team with implementation, training, testing, and tuning of deep learning models
  • Develop AWS machine learning infrastructure to support and maintain model serving and training
  • Provide guidance and best practices to effectively and securely leverage Amazon SageMaker service for interaction with a model
  • Create reusable project templates to create the infrastructure for MLOps solutions for CI/CD of ML models
  • Collaborate with our research team to identify best-fit models and open-source alternatives related to language and signal processing to obtain the best possible result
Requirements:
  • Strong Python and SQL knowledge and experience
  • Experience with PySpark and Airflow
  • Experience with model implementation and tuning using popular Machine Learning frameworks like PyTorch, Keras, TensorFlow
  • Ability to understand machine learning development and deployment processes
  • Solid experience with SageMaker and all the features it provides (like Sagemaker Pipelines)
  • Ability to create and adjust SageMaker pipelines for the end-to-end ML development cycle
  • Experience in working with Deep learning models for processing
  • At least an Upper-Intermediate level of English


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