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Machine Learning Engineer – Warszawa

Date 24/05/24
Location Warszawa

For our client, a leading innovator in the technology and electronics industry, we are seeking a Machine Learning Engineer. You will be part of an initiative focused on creating an advanced advertising ecosystem that integrates smart devices across TV, mobile, and desktop platforms.

This project aims to connect brands with TV audiences by building a cutting-edge advertising platform using machine learning algorithms to enhance targeting, personalization, and optimization. The goal is to deliver the right message to the right audience at the right time, resulting in higher engagement and conversion rates.

Your role:

  • In this role, you will gain a comprehensive understanding of the company’s products and services, identifying ideal customer personas based on various factors such as demographics, psychographics, and purchasing power. You will collaborate with international teams, tackling challenging projects and working with stakeholders from around the globe. You will delve into domains such as bidding, pacing, performance-based advertising, recommendations, and churn prediction/prevention. Access to proprietary data will allow you to address product challenges and develop impactful solutions.
  • Responsibilities:
    Develop, test, deploy, and maintain scalable low-latency machine learning products and pipelines, considering factors such as data nature, problem complexity, and computational resources
  • Validate model performance on unseen data, ensuring generalization and addressing potential issues like bias or fairness concerns
  • Design and develop the next-generation machine learning platform to support numerous model training pipelines and vast daily batch predictions
  • Research and experiment with the latest ML platform technologies, staying current with industry trends and pushing the boundaries of ML capabilities
  • Streamline model deployment and ensure engineering quality through unit testing, integration testing, and stress testing
  • Automate the ML pipeline using CI/CD principles to promote consistency, reproducibility, and agility
  • Collaborate with Data Scientists to introduce new ML platform features, streamline the model development process, and reduce lead time for model production
  • Work closely with internal ML teams to improve codebase and product health
  • Technical leadership opportunities available based on skills and experience

Requirements:

  • Tech stack: Python, TensorFlow, PyTorch, AWS, Spark, Snowflake, Snowpark, Github Actions, Airflow, Grafana
  • Must have:
    Degree in Computer Science or related fields
  • Minimum 6 years of industry experience
  • Familiarity with CI/CD (e.g., Github Actions, Airflow), ETL or big data tools (e.g., MapReduce, Spark, Flink, Kafka, Docker, Kubernetes)
  • Familiarity with mainstream ML libraries (e.g., TensorFlow, PyTorch, Spark ML) and/or cloud solutions (e.g., AWS, Sagemaker)
  • 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

Offer:

  • Friendly atmosphere focused on teamwork
  • Comprehensive training and support in developing algorithmic skills
  • Opportunity to work on multiple projects with the latest technologies
  • Monthly integration budget
  • Opportunities to attend local and international conferences
  • Flexible working hours
  • Private medical care (including family members)
  • Multisport card
  • Life insurance
  • Lunch card
  • Various discounts (products, theaters, restaurants)
  • Unlimited free access to Copernicus Science Center for you and friends
  • Opportunity to test new products
  • Hybrid work model: 3 days from the office per week (Warsaw)
  • Attractive relocation package
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