ML Ops Engineer

• Practice Data

• Technologies Business Intelligence Jobs and Data Recruitment

• Location Poland, Poland

• 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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