Machine Learning Engineer vacancy in Dickirch Luxembourg

Machine Learning Engineer


We are currently hiring a Machine Learning Engineer to join our team in Dickirch on a contract basis. As a Machine Learning Engineer, you will be responsible for developing and implementing machine learning algorithms and models to solve complex business problems. Your role will involve working closely with data scientists, software engineers, and other stakeholders to design, build, and deploy machine learning solutions.

Responsibilities:
- Design and develop machine learning algorithms and models
- Train and evaluate models using various techniques such as supervised and unsupervised learning
- Collaborate with data scientists to preprocess data for modeling purposes
- Work with software engineers to integrate models into production systems
- Conduct experiments to improve model performance and accuracy
- Stay up-to-date with the latest advancements in machine learning techniques and technologies

Requirements:
- Bachelor's or Master's degree in Computer Science, Mathematics, or related field
- Minimum of 2 years of experience in building machine learning models
- Hands-on experience with programming languages such as Python, R, or Java
- Strong understanding of statistics, probability theory, and linear algebra
- Experience with popular machine learning libraries such as TensorFlow or PyTorch
- Knowledge of big data technologies like Hadoop or Spark is a plus
- Excellent problem-solving skills and ability to think creatively

Salary: $900 per month (negotiable based on experience)

City: Dickirch (candidates must be willing to relocate if not already living in the area)

Contract job: This is a temporary position for the duration of a specific project.

Experience required: We are looking for candidates with at least 2 years of experience in building machine learning models.

Accommodation: This position does not include accommodation. Candidates must arrange their own housing if needed.

Jobs for students: This position is open to students who meet the requirements. However, please note that this is not an internship or part-time job, and candidates must be able to commit to a full-time schedule.