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Python Data/Machine Learning Engineer
Summary by AIEngineer.careers
Python Data/Machine Learning Engineer is a Machine Learning Engineer role (full-time). with Signify Technology. in AMSTERDAM, NL. Compensation shown: $91K–$105K (est.). Imported listing (source: qarera.com). Apply on the employer's site (qarera.com).
Imported listing (source: qarera.com) · Apply on qarera.com
AMSTERDAM · NL
$91K–$105K (est.)
Full-time
MID
The sections below reproduce the third-party job description for reference. AIEngineer.careers does not write or control this text.
Imported job description
Sourced from qarera.com
Signify Technology is seeking a Python Data/Machine Learning Engineer in Amsterdam to design and build data pipelines and ML solutions. The role requires over five years of experience with Python, including frameworks like TensorFlow and PySpark, and expertise in deploying models to production. Candidates must be fluent in Dutch and have strong knowledge of cloud infrastructure and containerization.
Responsibilities
- Design and build robust data pipelines using tools like Kafka and Airflow
- Develop and deploy Machine Learning models (Decision Trees, Deep Learning, etc.) in production environments
- Implement software testing and CI/CD pipelines using Agile/Scrum methodologies
- Work with Relational and NoSQL databases on cloud platforms (Azure, AWS, Google)
Requirements
- Over 5 years of experience with Python
- Experience designing and building data pipelines
- Experience with ML models in production
- Knowledge of Docker/Kubernetes and cloud infrastructure
- Fluent in Dutch language skills
Nice to Have
- Experience with Software Testing
- Knowledge of simulations and optimization algorithms
Signify Technology
Greater London · GB · 62+ employees
Signify Technology is a global staffing and recruitment agency specializing in the technology sector, particularly in advanced software engineering, AI, machine learning, and data engineering. The company partners with Fortune 100 enterprises and high-growth businesses to design and scale engineering capability through permanent and contract staffing solutions.
