Machine Learning Engineer

Machine Learning Engineer

Core responsibilities include:

• Designing and developing machine learning and deep learning systems
• Running machine learning tests and experiments
• Implementing appropriate ML algorithms

Job brief

Our client is looking for a Machine Learning (ML) Engineer to help them create artificial intelligence products.

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 proven, proficient knowledge of data science and software engineering, we'd like to meet you.

Your goal will be to shape and build efficient self-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

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 MachineLearning 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 (Keras and/or PyTorch) and libraries (like scikit-learn)
• Excellent communication skills
• Abilitytoworkinateam
• Outstanding analytical and problem-solving skills
• BSc in Computer Science, Mathematics or similar field is required; Master's degree is a plus