Senior Software Engineer - Supply Chain
· 4+ years of software engineering experience focusing on toolsfor machine learning and/or decision support infrastructure, includingproficiency with Python.
· Bachelor’s or a higher education degree in ComputerScience/Engineering or related technical field.
*CoreSkills*
· Strong software development skills. Experience writingmaintainable, testable, production-grade Python code.
· Experience with automated testing and test-driven development inPython.
· Advanced problem-solving, debugging, and profiling skills(memory/CPU/io/network usage)
· Exposure to working with source control tools such as Git.
· Experience with dockerization of services (i.e. creating dockerimages)
· Experience with cloud computing and infrastructure includingAmazon Web Services (AWS)
· Experience across the entire application lifecycle, fromdevelopment and test to deployment to operations
*Niceto have skills*
· Experience with big data frameworks such as Apache Spark
· Experience with Time Series Forecasting frameworks.
· Knowledge of SQL query language and working with relationaldatabases.
· Experience building/working with data pipelines (ETL)
· A foundational understanding of applied statistics and/ormachine learning algorithms and their real-world advantages/drawbacks/tuningtechniques.
· Experience with major data science libraries and deployment ofmodels and algorithms in production
· Experience with writing REST API using microservices frameworksin Python.
· Experience with continuous integration using Jenkins
· 4+ years of software engineering experience focusing on toolsfor machine learning and/or decision support infrastructure, includingproficiency with Python.
· Bachelor’s or a higher education degree in ComputerScience/Engineering or related technical field.
*CoreSkills*
· Strong software development skills. Experience writingmaintainable, testable, production-grade Python code.
· Experience with automated testing and test-driven development inPython.
· Advanced problem-solving, debugging, and profiling skills(memory/CPU/io/network usage)
· Exposure to working with source control tools such as Git.
· Experience with dockerization of services (i.e. creating dockerimages)
· Experience with cloud computing and infrastructure includingAmazon Web Services (AWS)
· Experience across the entire application lifecycle, fromdevelopment and test to deployment to operations
*Niceto have skills*
· Experience with big data frameworks such as Apache Spark
· Experience with Time Series Forecasting frameworks.
· Knowledge of SQL query language and working with relationaldatabases.
· Experience building/working with data pipelines (ETL)
· A foundational understanding of applied statistics and/ormachine learning algorithms and their real-world advantages/drawbacks/tuningtechniques.
· Experience with major data science libraries and deployment ofmodels and algorithms in production
· Experience with writing REST API using microservices frameworksin Python.
· Experience with continuous integration using Jenkins