Senior Machine Learning Engineer
September 30
Airflow
Bash
Docker
ElasticSearch
ETL
Grafana
Hadoop
Keras
Kubernetes
Numpy
Pandas
Python
PyTorch
Redis
Scikit-Learn
Spark
Tensorflow
Description
• Actively contributing to Machine Learning development at Jooble through learning and researching new technologies. • Turning business problems into stable and practical ML and AI solutions considering production requirements. • Working closely with the DevOps team to integrate MLOps CI/CD into existing services. • Designing, developing, and launching efficient and reliable ETL pipelines. • Optimizing existing pipelines and maintaining data pipelines related to the domain.
Requirements
• 4+ years of experience in Machine Learning OR 1+ years experience in Machine Learning and 3+ years in Backend Software Development • Strong skills in Python and deep knowledge of the ML stack (sklearn, numpy, pandas, xgboost) • Practical experience in data analysis, statistical analysis • Understanding of OOP and design patterns • Ability to work independently and manage initiatives across product areas • Experience with Linux systems and administration tools, Bash and Shell scripting • Experience with databases such as Elasticsearch, Redis, MSSQL • Familiarity with visualization tools for monitoring and logging (Kibana, Grafana) • Willingness to learn and apply new advanced technologies in information retrieval, Big Data and Machine Learning • Big Data (Spark/Hadoop) experience is a plus • Experience using deep learning frameworks, such as PyTorch, Keras and TensorFlow is a plus • Experience in designing microservices from scratch is a plus • Experience in setting up/improving CI/CD pipelines is a plus • Understanding of data pipeline orchestration with Airflow or Dagster is a plus • Practical experience in A/B testing is a plus • Understanding of virtualization (k8s and Docker) is a plus
Benefits
• Work from anywhere • Flexible working hours • Education • Healthcare • Mental Health • Vacation and Sick Leave • Our culture
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