Machine Learning Engineer vacancy in Svalbard Norway

Machine Learning Engineer


As a Machine Learning Engineer, you will be responsible for developing and implementing cutting-edge machine learning algorithms and models. In this role, you will collaborate with cross-functional teams to design and implement solutions that address complex business problems. Your work will involve data collection, cleaning, and pre-processing to ensure high-quality data for training models. You will also work on feature engineering, model selection, and hyperparameter tuning to improve model performance.

Responsibilities:
- Develop and implement machine learning algorithms and models
- Collaborate with cross-functional teams to identify business problems and design solutions
- Collect, clean, and pre-process data for training models
- Perform feature engineering, model selection, and hyperparameter tuning
- Evaluate model performance and make improvements as needed
- Communicate technical findings clearly to non-technical stakeholders

Requirements:
- Bachelor's or Master's degree in Computer Science, Engineering or related field
- Strong understanding of machine learning techniques such as regression, classification, clustering, etc.
- Proficiency in Python programming language
- Experience with deep learning frameworks such as TensorFlow or PyTorch
- Knowledge of data visualization tools such as Tableau or PowerBI
- Familiarity with cloud computing platforms such as AWS or Google Cloud
- Excellent problem-solving skills and ability to think creatively
- Strong communication skills in English

Preferred:
- Experience working in the field of artificial intelligence or machine learning
-Some experience with natural language processing (NLP) techniques
-Familiarity with big data technologies such as Hadoop or Spark
-Knowledge of software development practices
-Passion for staying up-to-date with the latest advancements in machine learning

Location: Svalbard (Relocation assistance available)

Salary: 1600$ per month (negotiable based on experience)