Source description
About the role
Essential:
BSc/MSc in computer science, computer engineering or equivalent
Circa 3-5 years' of experience as a data focused Software Engineer (minimum 2 Years experience with Machine Learning)
Significant experience working with Python (FastAPI is a plus)
Have worked with with Postgresql or similar data stores
Machine learning R&D experience (Training, Evaluation, Backtesting, Tuning, Model selection)
Data Science R&D experience (Stats, Hypothesis testing)
ML Engineering experience (model versioning, feature versioning)
Comfortable working with Git, code reviews, and Agile methodologies
Experience with time-series, events data, normalization, database design
Understanding of performance optimization and caching strategies
Great communication, ability to work asynchronously with team members in other countries
Strong command of written and spoken English
Desirable:
Previous experience of the electricity/power markets
Have experience with AWS (or another cloud provider), using Terraform
Experience with Deep learning techniques
Experience with orchestration tool Airflow on a production environment
Experience with containerization (Docker) and orchestration (Kubernetes)
Experience with a ML registry framework (e.g. MLFlow…)
Knowledge on hexagonal architecture and medallion architecture
Used monitoring solutions (Datadog, Grafana, etc...)
Experience with NoSQL database
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