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Tasks:
Industry-leading study-level automation and analytics, combining cross-molecule operational execution (phaseless site activation) that drives top- quartile study performance and delivery, productivity, cost savings and customer (site/patient) satisfaction.
Requirements 'must have'
Over 4 years experience in:
- Git, Linux fundamentals, and Bash scripting
- Python programming
- Container concepts: Docker & Kubernetes
- Designing & implementing Continuous Integration / Continuous Delivery pipelines (e.g. GitLab, Argo CD)
- Infrastructure Automation: Configuration Management, Infrastructure as Code (e.g. Ansible, Terraform, AWS CloudFormation)
- Cloud infrastructure & services (AWS, GCP, Azure)
- Cloud-native Kubernetes services (e.g. Amazon EKS, GKE, AKS)
- Monitoring, logging, and alerting tools
At least 1 year experience in:
- any of the Machine Learning areas (e.g. Computer Vision, NLP, Predictive Modelling)
- productisation of Machine Learning solutions
- working with MLOps tools (e.g. MLflow, Kubeflow, Amazon SageMaker)
General:
- Good understanding of Data Science basics (e.g. train/test model data sets, overfitting, classification, clustering)
- Understanding of DevOps concepts and Agile practices
- Experience in working with software development teams on a daily basis
- Superior troubleshooting approach
- Good communication skills
- English at least at B2 level
Key Skills
Ranked by relevance
machine learning
aws
configuration management
continuous integration
infrastructure as code
continuous delivery
computer vision
kubernetes
terraform
kubeflow
ansible
docker
devops
gitlab
mlflow
linux
mlops
bash
gcp
eks
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- Posted
- May 09, 2025
- Type
- Full-time
- Level
- Mid-Senior
- Location
- Poland
- Company
- Seargin
Industries
IT Services
IT Consulting
Pharmaceutical Manufacturing
Retail Pharmacies
Categories
Engineering
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