ML Engineer
Education Requirements:
Strong foundation in mathematics and statistics
Experience Requirements:
Experience with applied machine learning techniques in Python
Experience of working collaboratively as part of a data science team
Experience of using different analysis techniques to draw insight from data
Proficiency in Python, including relevant libraries for data analysis and machine learning
Familiarity with Git as part of the development process
Other Requirements:
Effective organisational skills
Effective problem-solving and analytical skills
High attention to detail
Ability to work independently
Responsibilities:
Participate in the design, development, testing, and evaluation of data science solutions
Train and deploy state-of-the-art machine learning models
Build processes for extracting, cleaning and transforming data
Ad-hoc data mining for insights using Python + Jupyter notebooks
Present insights and predictions in live dashboards
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