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Capgemini Engineering
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Senior ML Engineer (Python Stack/AWS/Docker, Ukraine) #15131
Ukraine
· Full-time
·
Mid-Senior
Purpose Of The Job
A global pharmaceutical company specializing in innovative healthcare solutions sought to enhance its digital infrastructure. We're seeking a Machine Learning Engineer to maintain and enhance our recommendation engine for our enterprise data visualization platform. You'll work with techniques like collaborative filtering algorithms and matrix operations to dynamically improve content discove for our users.
Main Tasks And Responsibilities
Design and maintain sophisticated recommendation systems using implicit feedback data
Fine-tune ML models for content personalization and user behavior analysis
Implement comprehensive A/B testing frameworks for recommendation improvements
Collaborate with backend team on API integration and performance optimization
Monitor and improve recommendation quality metrics using advanced analytics
Design and implement real-time recommendation serving systems
Education, Skills And Experience
MUST HAVE:
5+ years of Python development experience with strong focus on ML production systems
Deep expertise in recommendation systems and collaborative filtering algorith
Hands-on experience with RecTools, Implicit, LightFM, or similar recommendation libraries
Advanced proficiency with scientific Python stack (NumPy, Pandas, SciPy, scikit-le)
Strong AWS cloud platform expertise, particularly with SageMaker and ML services
Experience with Docker containerization and ML model deployment
Proficiency in optimization techniques for large-scale recommendation systems
A global pharmaceutical company specializing in innovative healthcare solutions sought to enhance its digital infrastructure. We're seeking a Machine Learning Engineer to maintain and enhance our recommendation engine for our enterprise data visualization platform. You'll work with techniques like collaborative filtering algorithms and matrix operations to dynamically improve content discove for our users.
Main Tasks And Responsibilities
Design and maintain sophisticated recommendation systems using implicit feedback data
Fine-tune ML models for content personalization and user behavior analysis
Implement comprehensive A/B testing frameworks for recommendation improvements
Collaborate with backend team on API integration and performance optimization
Monitor and improve recommendation quality metrics using advanced analytics
Design and implement real-time recommendation serving systems
Education, Skills And Experience
MUST HAVE:
5+ years of Python development experience with strong focus on ML production systems
Deep expertise in recommendation systems and collaborative filtering algorith
Hands-on experience with RecTools, Implicit, LightFM, or similar recommendation libraries
Advanced proficiency with scientific Python stack (NumPy, Pandas, SciPy, scikit-le)
Strong AWS cloud platform expertise, particularly with SageMaker and ML services
Experience with Docker containerization and ML model deployment
Proficiency in optimization techniques for large-scale recommendation systems
Key Skills
Ranked by relevance
python
data visualization
containerization
machine learning
docker
pandas
cloud
numpy
scipy
aws
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- Posted
- Feb 28, 2025
- Type
- Full-time
- Level
- Mid-Senior
- Location
- Rivne
- Company
- Capgemini Engineering
Industries
IT Services
IT Consulting
Categories
Engineering
Information Technology
Related Jobs
3 roles aligned with this opportunity
View Job Details
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SENIOR DEVOPS ENGINEER
2026-04-10
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Engineering
View Job Details
Related
DevOps/SRE (Kubernetes/GCP, Ukraine)
2026-04-08
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Engineering
View Job Details
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AI/ML Engineer (Python-based) (Freelancer)
2026-04-08
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