Data Analyst and Machine Learning Engineer

Job brief

We are looking for a Machine Learning (ML) Engineer to help us 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 knowledge of data science and software engineering, we’d like to meet you.

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

Responsibilities

Interpret data, analyze results using statistical techniques and provide ongoing reports

Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality

Acquire data from primary or secondary data sources and maintain databases/data systems

Identify, analyze, and interpret trends or patterns in complex data sets

Filter and “clean” data by reviewing computer reports, printouts, and performance indicators to locate and correct code problems

Work with management to prioritize business and information needs

Locate and define new process improvement opportunities

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

Computer vision skills

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; Master’s degree is a plus