Machine Learning Engineer for an Online News Media

Trainee
Junior
Junior+
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Senior
Senior+

Python
Docker
Kubernetes
SQL
NumPy
Pandas
BigQuery

Bulgaria
Czech Republic
Spain
Italy
Moldova
Poland
Portugal
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Ukraine

English: B2 (Upper-Intermediate)

We are seeking a Machine Learning Engineer to enhance our data science and ML capabilities, supporting current and upcoming projects. The ideal candidate will have strong expertise in developing, deploying, and optimizing predictive models and working with modern ML platforms in a cloud environment. You will collaborate closely with product and engineering teams to deliver data-driven solutions that directly impact business outcomes.

Benefits:

Opportunity to work with cutting-edge ML platforms and cloud technologies
Supportive and collaborative international team
Flexible working schedule
Fully remote work with the ability to work from anywhere

About client:

A multifaceted digital media company dedicated to helping citizens, consumers, business leaders, and policy officials make important decisions in their lives. The company publishes independent reporting, rankings, data journalism, and advice that has earned the trust of readers and users for nearly 90 years. They are an American media company that publishes news, consumer advice, rankings, and analysis. It was launched in 1948 as the merger of a domestic-focused weekly newspaper and an international-focused weekly magazine. In 1995, the company launched its website, and in 2010 the magazine ceased printing. They reach more than 40 million people monthly during moments when they are most in need of expert advice and are motivated to act on that advice directly on their platforms.

Industry:: Online Media
Location:: United States

About project:

An American media company that publishes news, opinion, consumer advice, rankings, and analysis. Founded as a news magazine in 1933, it transitioned to primarily web-based publishing in 2010, although it still publishes its rankings. It covers politics, education, health, money, careers, travel, technology, and cars.

Technologies:

JavaScript
Python
Java
React
jQuery
Linaria
Axios
Boomerang
PostgreSQL
CSS
SASS
HTML
Django
Flask
Pyramid
Git
Redux.js
Styled-Components
Docker
Webpack
Gulp
Apache Tomcat
Brightspot
GraphQL
SQLAlchemy
NPM
Nunjucks
SQL
AWS
NumPy
ECMAScript
ECMAScript 2016
Akamai
Bash
Pandas
New Relic
Permutive
Criteo
Tealium
Google Tag Manager
Amazon Advertising
Google Publisher Tag
Google AdSense
Prebid
Snowplow Analytics
Sailthru
Facebook Pixel
Crazy Egg
Google Analytics

UX/UI Designer

Tetyana

Software Engineer

Proven experience in building and optimizing machine learning models for predictive analytics, regression, forecasting, and categorization tasks.
Strong proficiency in Python, including libraries such as pandas, NumPy, scikit-learn, TensorFlow, or PyTorch, for end-to-end model development and deployment.
Hands-on expertise with cloud ML platforms like Google AutoML or AWS SageMaker to accelerate and scale model training.
Solid knowledge of data processing with tools such as SQL, BigQuery, or Spark, including data wrangling, feature engineering, and managing large-scale workflows.
Practical understanding of model lifecycle management, including version control, monitoring, retraining, and performance optimization.
Experience integrating ML solutions into cloud-based data pipelines and APIs, ensuring production-level reliability.
Familiarity with MLOps best practices, including CI/CD workflows for ML, containerization with Docker, and orchestration with Kubernetes.
Strong background in statistical modeling, experimentation, and A/B testing to validate and continuously improve model performance.

Develop, evaluate, and optimize ML models for predictive analytics, forecasting, and categorization tasks
Build and maintain scalable data pipelines and integrate ML solutions into production environments
Apply feature engineering, data wrangling, and statistical modeling techniques to improve model performance
Manage model lifecycle (monitoring, retraining, versioning) and ensure scalability
Collaborate with product managers, engineers, and analysts to align business requirements with technical solutions
Participate in A/B testing and experimentation to validate performance of ML models
Contribute to MLOps best practices and improve CI/CD workflows for ML projects

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Anastasia

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Our offices are located here:

Ukraine
Blagoveshchenskaya Street, Kharkiv, 61052

USA
12816 NE 104th ST, Kirkland, WA 98033,
+1 (425) 247-0867

Machine Learning Engineer for an Online News Media

Anastasia

Our offices are located here:

Contacts:

Svitlana

Anastasiia

Thank you for your interest and request