Job description
Experience
Minimum:
Proven experience in:
2+ yrs software development experience
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 building distributed systems
Experience with NoSQL databases
Experience working with ML platforms, e.g. MLflow, Kubeflow, etc.
Experience working with Data Science platforms, e.g. Dataiku, Domino, etc.
Experience with cloud-based infrastructure, e.g. Azure, AWS, GCP; ideally AWS
Qualifications (Minimum)
A relevant qualification in Information Technology - Computer Science or Engineering
Qualifications (Ideal or Preferred)
Masters Degree in Information Technology - Computer Science or Engineering - Other
Knowledge
Min:
Must have knowledge of:
Object oriented and functional programming in Python
Modern software development practices
Database querying using SQL
Data life cycle
Machine learning concepts
Machine learning model life cycle
Microservice architectures
Ideal:
Knowledge of:
Data Science lifecycle
Distributed system design
Big data storage and processing solutions
Machine learning model architectures
Skills
Analytical Skills
Decision making skills
Planning, organising and coordination skills
Problem solving skills
Researching skills
Originally posted on Himalayas
Who can apply
Eligible countries: United States. Accepted UTC offsets: UTC-10, UTC-9, UTC-8, UTC-7, UTC-6, UTC-5, UTC+14. Review the full description for employer-specific work authorization, residency and schedule requirements.