Machine Learning Engineer

Unfrauded is looking for a Machine Learning (ML) Engineer 

Job Brief

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, we’d like to meet you.

Your ultimate goal will be to shape and build efficient machine learning applications.

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

- Write code for data preprocessing and representation

- 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 up to date with developments in the field

Requirements

- Engineering degree in Computer Science, Data science or similar field

- Proven experience as a Machine Learning Engineer or similar role

- Understanding of deep learning use case in computer vision including Object detection, Image segmentation, Image classification

- Understanding of data structures, data modeling and software architecture

- Deep knowledge of math, probability, statistics and algorithms

- Ability to write robust code in Python

- Familiarity with machine learning frameworks (like Tensorflow or PyTorch) and libraries (like scikit-learn, numpy, pandas)

- Ability to work in a team

- Outstanding analytical and problem-solving skills

Informations

Requirements

Skills:

Data science MACHINE LEARNING TENSORFLOW PYTHON PYTORCH COMMUNICATION

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