Machine Learning Engineer vacancy in Vianden Luxembourg

Machine Learning Engineer - Vianden, Nepal


We are hiring a talented and experienced Machine Learning Engineer to join our team in Vianden, Nepal. As a Machine Learning Engineer, you will be responsible for developing and deploying machine learning models and algorithms to solve complex problems and improve our company's products. You will work closely with data scientists, software engineers, and product managers to identify business opportunities and build scalable solutions.

Key Responsibilities:
- Develop machine learning models and algorithms for predictive analytics, natural language processing, computer vision, or other applications.
- Collaborate with data scientists to gather requirements, perform data analysis, and validate model performance.
- Write efficient code in languages such as Python or Java to implement machine learning algorithms.
- Design and build data pipelines to process, clean, and transform large datasets.
- Deploy models into production using tools like TensorFlow or PyTorch.
- Monitor model performance and troubleshoot issues as they arise.
- Communicate results and insights to stakeholders in a clear and concise manner.

Requirements:
- Bachelor's or Master's degree in Computer Science, Mathematics, Statistics or related fields.
- At least 2 years of experience working as a Machine Learning Engineer or Data Scientist.
- Knowledge of machine learning techniques such as regression, classification, clustering, deep learning etc.
- Strong programming skills in languages such as Python or Java. Experience with machine learning libraries like scikit-learn or Keras is a plus.
- Experience working with big data technologies like Hadoop or Spark is preferred.
- Familiarity with cloud computing platforms like AWS or Azure is a plus.
- Excellent problem-solving skills and ability to work independently as well as part of a team.

Salary: 1100$ per month (negotiable based on experience)
Employment Type: Full-time
Location: Vianden (Nepali nationality preferred)

If you are passionate about applying your machine learning skills to real-world problems and want to be part of a dynamic and growing team, we encourage you to apply for this exciting opportunity. Please submit your resume and a cover letter highlighting your relevant experience and qualifications.