ML Ops Engineer

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  Practice
  Data
  

  
  



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  Technologies
  Business Intelligence Jobs and Data Recruitment
  

  
  




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  Location
  Poland, Poland
  
  

  
  


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  Type
  Contract
  

  
  

• Relevant work experience in ML projects
  
• Relevant work experience in technologies and frameworks used in ML, examples: Apache Airflow, sklearn, MLFlow, TensorFlow
  
• Knowledge of MLOps architecture and practices
  
• Knowledge of data manipulation and transformation, e.g. SQL
  
• Experience working in cloud environment (e.g. GCP) 
  
• Programming in Python
  
• Experience with monitoring and observability (ELK stack)
  
• Familiar with software engineering practices like versioning, testing, documentation, code review
  
• Deployment and provisioning automation tools e.g. Docker, Kubernetes, Openshift, CI/CD
  

• Experience with distributed systems and clusters for both batch as well as streaming data (S3/Spark/Kafka/Flink) 
  
• Affinity with Advanced Analytics, Data Science, NLP
  
• Hands-on experience building complex data pipelines e.g. ETL 
  
• System design and architecture 
  
• Bash scripting and Linux systems administration 
  
• Programming in a statically typed language, e.g. Scala, Java 
  
• Experience with building distributed, large scale and secure applications 
  
• Experience with working in an agile/scrum way 
  
• Being a committer to Open-Source projects is a strong plus
  
• Latest Joining date 1-Nov
  
• Contract Duration 12 months
  
• Working from anywhere in Europe - Poland,100% remote
  

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