BlackStone eIT, a leading computer software company, is seeking a talented and experienced Machine Learning Engineer to join our dynamic team. As a Machine Learning Engineer at BlackStone eIT, you will be responsible for designing, developing, and deploying cutting-edge machine learning models and algorithms. You will collaborate closely with cross-functional teams to analyze data, identify opportunities for applying machine learning techniques, and implement solutions to solve complex business problems.

In this role, you will have the opportunity to work on a wide range of projects, spanning various industries, and make a significant impact on the company's success. We are looking for individuals who are passionate about machine learning and possess strong analytical and problem-solving skills.

Responsibilities

Study and transform data science prototypes
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
Deploy the trained models and build REST APIs
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

Experience: 2-3 years
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
Outstanding analytical and problem-solving skills
Familiarity with machine learning frameworks (like Tensorflow or PyTorch) and libraries (like scikit-learn)
Excellent communication skills
Ability to work in a team
BSc in Computer Science, Mathematics or a similar field; a Master’s degree is a plus