Machine Learning Engineer

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