Machine Learning Engineer vacancy in La-Condamine Monaco

Machine Learning Engineer


We are hiring a skilled Machine Learning Engineer to join our team in La-Condamine. As a Machine Learning Engineer, you will be responsible for developing and implementing various machine learning models and algorithms to solve complex problems. You will work closely with data scientists and software engineers to design, develop, and deploy machine learning solutions. The ideal candidate should have a strong background in data science, mathematics, and programming. This is a full-time position with a salary of 1400$ per month.

Responsibilities:
- Develop and implement machine learning models and algorithms
- Collaborate with data scientists to understand business requirements
- Preprocess and clean large datasets for analysis
- Identify relevant features for training models
- Train and evaluate different machine learning models
- Optimize models for performance and scalability
- Deploy models into production systems
- Communicate results and insights to non-technical stakeholders

Requirements:
- Bachelor's or Master's degree in computer science, mathematics, or related field
- Minimum of 2 years of experience as a Machine Learning Engineer or similar role
- Proficient in Python, R, or Java programming languages
- Experience with machine learning libraries such as TensorFlow, PyTorch, or scikit-learn
- Strong understanding of statistics, probability theory, and linear algebra
- Familiarity with data visualization tools such as Tableau or Power BI
- Knowledge of cloud computing platforms like AWS or Azure is a plus
- Ability to work independently and in a team environment
- Excellent problem-solving skills
Salary: 1400$ per month (negotiable based on experience)

Location: La-Condamine

Note: This position does not include accommodation. However, we offer free visa sponsorship and round-trip tickets for international candidates. If you are passionate about using your skills to solve real-world problems through cutting-edge technology, we encourage you to apply for this position.