Machine Learning Engineer

• Strong analytical and problem-solving skills
• Expert in Python and SQL
• Experience with the modern software development best practices, e.g.
  • agile software development
  • code reviews
  • unit testing
  • version control, e.g. git
  • CI/CD
• Experience with microservice architectures
• Experience working in an agile team
• Experience with ML frameworks and tools (e.g. pandas, numpy, scikit-learn, TensorFlow, Pytorch, Spark MLlib)
• Experience with modern ETL, compute and orchestration frameworks, e.g. Apache Spark, Apache Flink, Apache Kafka, etc.
• Development experience in both Windows and Linux
• Experience with container technologies, e.g. Docker, Kubernetes

Ideal:

• Experience in building machine learning or AI systems
• Proficiency in R language
• Experience deploying models to production
• Experience with NoSQL databases
...