Ref: #64166

ML Ops Engineer

Practice Data
Technologies Business Intelligence Jobs and Data Recruitment
Location Poland, Poland
Type Contract

Skills requirement

Must Have:

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

Nice to Have:

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