Machine Learning Operations Engineer

Integral Ad Science; Modena; In loco; EUR 35.000 - 55.000; Tempo pieno

Descrizione del lavoro

Integral Ad Science, a leading global technology and data company, seeks a Machine Learning Operations Engineer to join their Data Science team. The role involves designing data pipelines, developing tools for data inspection, and ensuring data quality in a fast-paced environment. Ideal candidates will have a Master's Degree in a relevant field and solid experience with cloud technologies.

Competenze

• 1-3 years experience with cloud-based integrations and data pipeline design.
• Experience with API/SDK interaction.
• Familiarity with Agile and CI/CD practices.

Mansioni

• Design and maintain data pipelines and engineering infrastructure.
• Develop scalable tools for data inspection and bias detection.
• Create dashboards for data visualization.

Conoscenze

Proficiency in Python

Proficiency in SQL

Cloud Platforms

Data visualization

Strong communication skills

Team orientation

Formazione

Master's Degree in Information, Data, or Computer Science/Engineering

Strumenti

AWS

Snowflake

Databricks

Github

Descrizione del lavoro

Integral Ad Science (IAS) is a global technology and data company that builds verification, optimization, and analytics solutions for the advertising industry. We are looking for a Machine Learning Operations Engineer to join our Data Science team.

If you are excited by technology capable of handling hundreds of thousands of transactions per second, collecting tens of billions of events daily, and evaluating thousands of data points in real-time within milliseconds, IAS is the place for you!

As a Machine Learning Operations Engineer, you will be part of a team at the forefront of innovation and data quality, contributing to our core products. Your responsibilities include designing and implementing data pipelines, building and maintaining tools for large-scale production systems in the brand safety domain across various media platforms. You will also focus on multimedia data pipeline management, tool and service design for data inspection, and data visualization of model quality.

What you'll get to do

1. Design and maintain data pipelines and engineering infrastructure to support annotation systems at scale.
2. Develop and deploy scalable tools and services for data inspection, bias detection, and error analysis.
3. Create data visualization dashboards to present results clearly.
4. Apply software engineering best practices in database management, CI/CD, automation, and code quality.
5. Collaborate with taxonomists, knowledge engineers, linguists, ML researchers, data scientists, and data engineers.
6. Work across multiple time zones within your local working hours.

Qualifications

• Master's Degree in Information, Data, or Computer Science/Engineering.
• 1-3 years of experience with cloud-based system integration, data pipeline design, or API/SDK interaction with third-party services.
• Proficiency in Python, SQL, Cloud Platforms (AWS, Snowflake), Databricks, Github.
• Nice to have: experience with annotation tools, understanding data scientist tools, Big Data frameworks, API interaction, Agile, CI/CD.
• Strong communication skills and team orientation.
• Fluent in English.

Preferred Skills

• Experience with Spark applications (Spark SQL, PySpark).
• Machine learning pipeline expertise.
• API proficiency.
• UI design skills.

About Integral Ad Science

IAS is a leading global media measurement and optimization platform, providing actionable data to advertisers, publishers, and media platforms. Our mission is to establish trust and transparency in digital media quality. For more information, visit integralads.com.

We are an equal opportunity employer committed to diversity and inclusion. We consider all qualified applicants regardless of race, color, nationality, gender, gender identity or expression, sexual orientation, religion, disability, or age. We encourage women, people of color, LGBTQIA+ members, people with disabilities, and veterans to apply.

California Applicants: We collect personal information during the application process for employment purposes. For details, contact us at [e-mail].

For more about us, visit integralads.com.

Note: We do not accept unsolicited resumes or candidate profiles from recruiters. Interested agencies should contact [e-mail].