Machine Learning Engineer (Part-time)

MasterFix Solutions; Svalbard; On-site; NOK 98,000 - 117,000; Part time

Job summary

MasterFix Solutions is seeking a part-time Machine Learning Engineer to join our team in Svalbard. You will develop and implement ML algorithms to analyze large data sets and provide actionable insights. Immediate start is expected for this urgent opportunity.

You will collaborate with cross-functional teams, evaluate new ML techniques, and ensure data quality with efficient pipelines for model training and deployment. Accommodation is provided in Svalbard.

Qualifications

• Bachelor's or Master's degree in Computer Science, Mathematics, or related field.
• Strong understanding of ML techniques: regression, classification, clustering, deep learning.
• Proficiency in programming languages such as Python, R, or Java.
• Experience with large data sets and tools like SQL, Hadoop, Spark.
• Familiarity with visualization tools like Tableau or Power BI.
• Proven experience in developing ML models from conception to deployment.
• Excellent problem-solving skills and ability to think critically about business problems.
• Good communication and teamwork skills.

Responsibilities

• Develop and implement machine learning algorithms to analyze large data sets.
• Collaborate with cross-functional teams to identify business problems and solutions.
• Use statistical analysis and visualization to interpret data and present insights.
• Research and evaluate new ML techniques to improve models.
• Work with data engineers to ensure data quality and efficient pipelines for training and deployment.

Skills

ML techniques

Problem solving

Communication

Teamwork

Education

Bachelor's or Master's in CS/Math/related

Tools

Python

R

Java

SQL

Hadoop

Spark

Tableau

Power BI

Job description

Machine Learning Engineer vacancy in Svalbard Norway

Machine Learning Engineer (Part-time)

We are seeking a highly skilled Machine Learning Engineer to join our team on a part-time basis in Svalbard. As a Machine Learning Engineer, you will be responsible for developing and implementing machine learning algorithms to analyze large data sets and provide insights for our company. This is an urgent job opportunity, so we are looking for someone who can start immediately.

Responsibilities:

• Develop and implement machine learning algorithms to analyze large data sets
• Collaborate with cross-functional teams to identify business problems and develop solutions using machine learning techniques
• Utilize statistical analysis and visualization tools to interpret data and present insights
• Research and evaluate new machine learning techniques to improve existing models
• Work with data engineers to ensure data quality and develop efficient pipelines for model training and deployment

Requirements:

• Bachelor's or Master's degree in Computer Science, Mathematics, or related field
• Strong understanding of machine learning techniques such as regression, classification, clustering, deep learning, etc.
• Proficiency in programming languages such as Python, R, or Java
• Experience working with large data sets and utilizing tools such as SQL, Hadoop, Spark, etc.
• Familiarity with statistical analysis and visualization tools like Tableau or Power BI
• Proven experience in developing successful machine learning models from conception to deployment
• Excellent problem-solving skills and ability to think critically about complex business problems
• Good communication skills and ability to work in a team environment

Preferred:

• Previous experience working as a Machine Learning Engineer or Data Scientist
• Knowledge of natural language processing (NLP) techniques
• Experience with cloud computing platforms like AWS or Azure

Salary: 1000$ per month (part-time)

Location: Svalbard (accommodation provided)

Employment type: Part-time (20 hours per week)

Duration: 6 months (with possibility of extension)

Start date: Immediate

Note: A biometric passport is preferred for this position.

If you are a passionate Machine Learning Engineer with a strong desire to solve complex problems and make an impact, then we want to hear from you!