Engineer: Machine Learning Iii

About the job Engineer: Machine Learning III
Qualifications and experience:

4 to 6 years Machine Learning and Software Engineering experience
Strong analytical and problem-solving skills
Expert in Python and SQL
Experience with modern software development best practices, e.g.
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)
Development experience in both Windows and Linux
Experience with container technologies (e.g.
Docker, Kubernetes)
Experience in building machine learning or AI systems
Proficiency in R language
Experience deploying models to production
Experience with NoSQL databases
Experience working with ML platforms (e.g.
MLflow, Kubeflow)
Experience working with Data Science platforms (e.g.
Dataiku, Domino)
Experience with cloud-based infrastructure (e.g.
Azure, AWS, GCP; AWS preferred)
A relevant degree in Information Technology - Computer Science or Engineering

Knowledge of:

Object-oriented and functional programming in Python
Data science life cycle
Machine learning concepts
Machine learning model life cycle

Ideal:

Data Science lifecycle
Big data storage and processing solutions
Machine learning model architectures

Skills:

Analytical Skills
Planning, organising and coordination skills

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