Machine Learning Engineer vacancy in Svalbard Norway

Machine Learning Engineer
City: Svalbard, Norway


As a Machine Learning Engineer at our company, you will be responsible for developing and implementing cutting-edge machine learning algorithms and models to solve real-world problems. You will work closely with our team of data scientists and software engineers to design, develop, and deploy scalable solutions that utilize artificial intelligence and machine learning techniques.

Key Responsibilities:
- Research, design, and implement machine learning algorithms and models.
- Develop software solutions for data preprocessing, feature engineering, and model training.
- Collaborate with cross-functional teams to identify business needs and develop solutions that meet those needs.
- Continuously monitor and improve the performance of existing machine learning models.
- Stay up-to-date with the latest advancements in machine learning techniques and technologies.

Requirements:
- Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
- Minimum of 2 years of experience as a Machine Learning Engineer or similar role.
- Strong programming skills in Python or R.
- Experience with deep learning frameworks such as TensorFlow or PyTorch.
- Knowledge of data visualization tools such as Tableau or Power BI.
- Familiarity with cloud computing platforms like AWS or Azure.

Preferred Qualifications:
- Experience in natural language processing (NLP) and text mining techniques.
- Understanding of big data technologies like Hadoop or Spark.
- Familiarity with agile development methodologies.
- Excellent problem-solving skills with a strong attention to detail.

We offer a competitive salary of 1600$ per month along with full-time employment and accommodation in Svalbard. This is an exciting opportunity to join a dynamic team working on cutting-edge projects. If you have a passion for machine learning and are looking for a challenging role in one of the most beautiful places in the world, we encourage you to apply.