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Business Development GM (Holdco)
New York, New York, United States•19 days ago
$134K – $245K
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Data Science33 days agoHybrid
Integral Ad Science
Machine Learning Operations Engineer
machine learningdata engineeringpythonsparksqlawsdatabricksgithubci/cdapibig dataagileannotationdata visualization
Key details
Salary
Not specified
Employment type
Full-time
Seniority
Mid-level
Years experience
0-2
Location
Dublin, Ireland
Full job description
Integral Ad Science is seeking a Machine Learning Data Engineer to join their Data Science team. The role involves designing and maintaining large-scale data pipelines and engineering infrastructure to support annotation systems, developing scalable tools for data inspection and error analysis, building data visualization dashboards, and applying software engineering best practices including CI/CD and automation. Collaboration with cross-functional teams including taxonomists, linguists, and data scientists is required. Candidates should have a Master’s degree in Information, Data or Computer Science/Engineering, 1-3 years of relevant experience, and proficiency in Python, Spark, SQL, AWS, Databricks, and Github. Good communication skills and fluency in English are required. The position is full-time and hybrid, located in Dublin, Ireland.
What you'll do
- Design and maintain data pipelines and engineering infrastructure to support annotation systems at scale
- Develop and deploy scalable tools and services for annotated data inspection, biases, and error patterns investigation
- Build data visualization dashboards to provide results in a digestible way
- Apply software engineering rigor and best practices in database designs, CI/CD, automation pipelines, and scalable software
- Collaborate with taxonomists, knowledge engineers, linguistics, machine learning researchers, data scientists and data engineers
- Work across multiple time zones within your time zone working hours
Requirements
- Master’s Degree in Information, Data or Computer Science/Engineering
- 1-3 years of experience in building custom integration between cloud based systems, data pipeline design and/or API/SDK interaction with 3rd party companies
- Experience in Python, Spark, SQL, Cloud Environments (AWS), Databricks, Github
- Good to have: experience working with annotation crowd/tools
- Ability to understand tools used by data scientists
- Knowledge of Big Data frameworks
- Experience in API interaction, Agile, and CI/CD
- Good communication skills, team-oriented
- Fluent in English
Tech stack
PythonSparkSQLAWSDatabricksGithubCI/CDAPIBig Data frameworksAgile
Apply now
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