Machine Learning Engineer

1 miesiąc temu


Centrum Ożarów Mazowiecki, Polska PAYBACK Pełny etat

At PAYBACK, we're on a mission to revolutionize the world of loyalty programs. As a Machine Learning Engineer, you'll be part of our cutting-edge team that's pushing the boundaries of cloud-native software development. Your expertise in Java, Scala, and Python will help us build scalable and robust software solutions that drive real-time data processing and machine learning model training.

We're looking for a talented engineer who can work effectively in a collaborative team environment, with a passion for modern cloud-native software development, learning new technologies, and professional growth. If you're up for the challenge, join us in shaping the future of PAYBACK's tech stack.

Key Responsibilities:

  • Design and implement pipelines for data preprocessing, feature engineering, and machine learning model training.
  • Work with cross-functional teams to translate business needs into data-intensive, highly scalable machine intelligent solutions.
  • Stay up-to-date with the latest advancements in software engineering and machine learning, and apply modern techniques and design patterns to improve our tech stack.
  • Maintain and operate our current software products with a mindset of what we build, we also run.

Requirements:

  • Proficiency in programming with Java, Scala, and Python.
  • Solid knowledge of data structures, algorithms, and software engineering principles.
  • Experience with modern real-time data streaming technologies, such as Kafka or GCP Pub/Sub.
  • Understanding of SQL and noSQL databases.
  • Good communication skills in English.
  • Good and hands-on ability in building front ends using NextJs or Angular.
  • Experience with GCP services and Terraform.

What We Offer:

  • Employment contract with stable employment.
  • Flexible working hours, with a start time between 8 to 10.
  • Friendly atmosphere at work, with a focus on people as our most important asset.
  • Benefits, including a corporate incentive program, sport card, and private medical care.
  • No rigid dress code rules, with sneakers welcome.
  • Training to develop hard and soft skills.
  • Hybrid working model, with 2 days a week from the office and 3 days a week from home.
  • Convenient location, with a new office at Rondo Daszyńskiego and remote work options.


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