Machine Learning Engineer responsibilities include creating machine learning models and retraining systems. To do this job successfully, you need exceptional skills in statistics and programming. If you also have knowledge of data science and software engineering,
Responsibilities
Study and transform data science prototypes
Design machine learning systems
Research and implement appropriate ML algorithms and tools
Develop machine learning applications according to requirements
Select appropriate datasets and data representation methods
Run machine learning tests and experiments
Perform statistical analysis and fine-tuning using test results
Train and retrain systems when necessary
Extend existing ML libraries and frameworks
Keep abreast of developments in the field
Requirements and skills
Proven experience as a Machine Learning Engineer or similar role
Understanding of data structures, data modeling and software architecture
Deep knowledge of math, probability, statistics and algorithms
Ability to write robust code in Python, Java and R
Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn)
Excellent communication skills
Ability to work in a team
Outstanding analytical and problem-solving skills
BSc in Computer Science, Mathematics or similar field; Masters degree is a plus
Numbers & Facts
Location
Oregon
Skills
Algorithmsunmatched
Analysis Skillsunmatched
Communication Skillsunmatched
Computer Scienceunmatched
Data Modelingunmatched
Data Scienceunmatched
Data Setsunmatched
Data Structuresunmatched
Javaunmatched
Machine Learningunmatched
Mathematicsunmatched
Problem Solving Skillsunmatched
Prototypingunmatched
Python Programming/Scripting Languageunmatched
R Programming Languageunmatched
Software Architectureunmatched
Software Developmentunmatched
Software Engineeringunmatched
Statistical Algorithmsunmatched
Statistical Programming Languagesunmatched
Statisticsunmatched
Team Playerunmatched
Writing Skillsunmatched
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