We are looking for a Machine Learning (ML) Engineer to help us implement artificial intelligence models to our existing applications. 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
- Study and transform data science prototypes
- Research and implement appropriate ML algorithms and tools
- Perform statistical analysis and fine-tuning using test results
- Train and retrain systems when necessary
- Extend existing ML libraries and frameworks
- Design machine learning systems
- 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
Requirements
- Ability to work in a team
- Understanding of data structures, data modeling and software architecture
- Ability to write robust code in Python
- Knowledge of relational databases architecture and SQL language, NoSQL is a plus
- BSc in Computer Science, Mathematics or similar field; Master’s degree is a plus
- Understanding of data structures, data modeling and software architecture
- Deep knowledge of math, probability, statistics and algorithms
- Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn)
- Ability to work in a team
- Outstanding analytical and problem-solving skills
- Master’s degree in Computer Science, Mathematics or similar field;
Benefits
- Hybrid Work
- Training amp; Development
- Macbook and backpack
- Free Coffee and Snacks