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Tech Data Engineer

1 tydzień temu


Warszawa, Mazovia, Polska Samsung R&D Institute Poland Pełny etat
About the project

Samsung Ads is an advanced advertising ecosystem, spanning hundreds of millions of smart devices across TV, mobile, desktop, and beyond. The project we are recruiting for is focused on enabling brands to connect with Samsung TV audiences building the world's smartest advertising platform. We use machine learning algorithms for advertising campaigns to enhance targeting, personalization, and optimization. Audience building is a crucial aspect of effective marketing, especially in today's digital landscape where targeting specific groups of people is essential for success.

During project on-boarding process you will understand our products and services to easily identify the ideal customer persona, considering factors such as demographics, psychographics, and purchasing power.

Being part of an international company such as Samsung you will get to work on the most challenging projects with stakeholders and teams located around the globe.

As a machine learning engineer of the Samsung Ads team, you will have access to unique Samsung proprietary data to address existing product challenges and build end-to-end solutions with real-world impact. You will also work with talented engineers and top-notch machine learning researchers on exciting projects and state-of-the-art technologies.

In conclusion, you will play a crucial role in designing, building, and optimizing ML models and platform that supports the end-to-end ML lifecycle, from data ingestion and preparation to model training, deployment, and monitoring. By contributing to the development of high-quality ML models and platform, you will help to democratize access to ML capabilities, accelerate the pace of ML adoption, and foster collaboration among stakeholders.

Develop, test, deploy, and maintain data, scalable low-latency machine learning products and pipelines supporting ML products considering factors such as the nature of the data, the complexity of the problem, and the available computational resources.

Validate the model's performance on unseen data, ensuring that it generalizes well and does not overfit the training data. Design and develop the next generation machine learning platform to support thousands of model training pipelines concurrently and thousands of billions of daily batch predictions.

Research the latest machine learning platform technologies pushing the boundaries of what is currently possible with ML and keep up-to-date with industry trends and developments.

Streamline model deployment, unit testing, integration testing, and stress testing and ensure engineering quality.

Support automation of the ML pipeline using CI/CD principles, promoting consistency, reproducibility, and agility.

Technologies in use

Python

AWS

Snowflake

Degree in Computer Science or related fields.

ETL or big data tools (e.g., and/or cloud solutions (e.g.: AWS, Sagemaker, etc.).

Programming skills in Python, Go or other OOP languages.

Experience in SQL and databases including SQL query optimization.

Familiarity with data structures, algorithms and software engineering principles.

At least 5 years of industry experience in designing and implementing machine learning systems.

Experience with Infrastructure as Code (Terraform), orchestration tools (Airflow, AWS Step/Lambda), building CI/CD pipelines using Github Actions, and real-time monitoring/alerting framework such as Prometheus and Grafana.

Hands-on experience with machine learning related frameworks (e.g., Extensive programming experience in Python, Go or other OOP languages.

Proficiency in SQL and databases and experience with SQL query optimization.

Extensive experience with Snowflake, Snowpark, and Redis/Aerospike.

Opportunity to work in multiple projects

Working with the latest technologies on the market

Flexible working hours

OS: Windows or Linux

Private medical care (possibility to add family members for free)

Unlimited free access to Copernicus Science Center for you and your friends

Attractive relocation package