Machine Learning Engineer vacancy in Clairvaux Luxembourg

Machine Learning Engineer



As a Machine Learning Engineer, you will be responsible for developing and implementing machine learning algorithms and models to solve complex business problems. You will work closely with data scientists, software engineers, and other stakeholders to design, build, and deploy machine learning solutions.

Key Responsibilities:
- Develop and implement machine learning algorithms and models using programming languages such as Python or R.
- Collaborate with data scientists to understand business requirements and translate them into machine learning solutions.
- Work with software engineers to integrate machine learning models into production systems.
- Conduct experiments to test the performance of different algorithms and models.
- Utilize big data platforms and tools for data preprocessing, feature engineering, and model training.
- Monitor the performance of deployed models in production environments and make necessary improvements.
- Stay updated with the latest developments in the field of machine learning and incorporate them into our solutions.

Requirements:
- Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
- Minimum of 2 years of experience in developing machine learning solutions.
- Strong proficiency in programming languages such as Python or R.
- Experience with big data platforms such as Hadoop or Spark.
- Familiarity with deep learning frameworks like TensorFlow or PyTorch is a plus.
- Ability to work independently as well as collaboratively in a team environment.
- Excellent problem-solving skills and attention to detail.

Salary: $1700 per month (negotiable based on experience)

Location: Clairvaux (remote work options available)

We welcome candidates of all nationalities but prefer candidates from Egypt or Nepal. This position is suitable for men who meet the experience requirements.

If you have a passion for using machine learning to solve real-world problems and possess the required skills and experience, we would love to hear from you. Please submit your application today!