Machine Learning Engineer - Digital
Summary
Builds and trains machine-learning models using Python, Java, and R to create self-learning applications and AI products.
About the job Machine Learning Engineer - Digital
Machine Learning Engineer responsibilities include:
- Designingand developing machine learning and deep learning systems
- Runningmachine learning tests and experiments
Job brief
We are looking for a Machine Learning (ML) Engineer to helpus create artificial intelligence products.
Machine Learning Engineer responsibilities include creatingmachine learning models and retraining systems. To do this job successfully,you need exceptional skills in statistics and programming. If you also haveknowledge of data science and software engineering, we’d like to meet you.
Your ultimate goal will be to shape and build efficientself-learning applications.
Responsibilities
- Studyand transform data science prototypes
- Designmachine learning systems
- Researchand implement appropriate ML algorithms and tools
- Developmachine learning applications according to requirements
- Selectappropriate datasets and data representation methods
- Runmachine learning tests and experiments
- Performstatistical analysis and fine-tuning using test results
- Trainand retrain systems when necessary
- Extendexisting ML libraries and frameworks
- Keepabreast of developments in the field
Requirements
- Provenexperience as a Machine Learning Engineer or similar role
- Understandingof data structures, data modeling and software architecture
- Deepknowledge of math, probability, statistics and algorithms
- Abilityto write robust code in Python, Java and R
- Familiaritywith machine learning frameworks (like Keras or PyTorch) and libraries(like scikit-learn)
- Abilityto work in a team
- Outstandinganalytical and problem-solving skills
- BSc inComputer Science, Mathematics or similar field; Master’s degree is a plus