Senior MLOps Engineer (pharma)

For a client operating in the pharmaceutical industry, we are looking for a Senior MLOps specialist to enhance and maintain machine learning operations and infrastructure.

Work Mode

Remote from the territory of Poland

Expectations

• 4+ years of experience in Git, Linux fundamentals, and Bash scripting
• 4+ years of experience in Python programming
• Strong experience with container concepts: Docker and Kubernetes
• Strong experience designing and implementing Continuous Integration / Continuous Delivery pipelines, e.g., GitLab and Argo CD
• Strong experience in infrastructure automation, Configuration Management, and Infrastructure as Code, e.g., Ansible, Terraform, and AWS CloudFormation
• Strong experience with cloud infrastructure and services: AWS, GCP, and Azure
• Strong experience with cloud-native Kubernetes services, e.g., Amazon EKS, GKE, and AKS
• Experience with monitoring, logging, and alerting tools
• 1+ year of experience in Machine Learning areas, e.g., Computer Vision, NLP, and Predictive Modelling
• 1+ year of experience productising Machine Learning solutions
• 1+ year of experience working with MLOps tools, e.g., MLflow, Kubeflow, and Amazon SageMaker
• Good understanding of Data Science basics, e.g., train/test model datasets, overfitting, classification, and clustering
• Understanding of DevOps concepts and Agile practices
• Experience working with software development teams on a daily basis
• Superior troubleshooting approach
• Good communication skills
• English at least at B2 level

Benefits

• Complete benefits package, including funding for medical care, life insurance, and sports cards for you and your loved ones, as well as discounts in stores in Poland and abroad.