Machine Learning Engineer - Part-Time (Svalbard)

FamilyFirst Qatar; Svalbard; Remote; NOK 176,000 - 211,000; Part time

Benefits offered by this job

Accommodation provided

Job summary

FamilyFirst Qatar is hiring a part-time Machine Learning Engineer to join our team in Svalbard. You will develop and deploy ML models, build data pipelines, and collaborate with cross-functional teams to translate business needs into scalable solutions.

The role requires strong programming skills (Python or R), experience with ML frameworks, and the ability to work independently or in a small team. Remote work is possible with accommodation provided; starting ASAP.

Qualifications

• Bachelor's or Master's degree in Computer Science, Mathematics, Statistics or related field.
• Strong understanding of ML algorithms such as regression, classification, clustering, deep learning etc.
• Proficiency in programming languages such as Python or R for data analysis and model development.
• Experience with libraries like Tensorflow, Keras or PyTorch for building neural networks.
• Familiarity with cloud computing platforms like AWS or Google Cloud for deploying models at scale.
• Excellent problem-solving skills and ability to work independently as well as in a team environment.

Responsibilities

• Develop and implement machine learning algorithms and models to analyze large datasets.
• Collaborate with cross-functional teams to understand business needs and identify opportunities for implementing machine learning solutions.
• Design, build, and maintain data pipelines for efficient data processing.
• Perform data cleaning, feature engineering, and model selection to optimize performance.
• Develop tools and frameworks for automating model training, deployment, and monitoring.
• Stay updated on the latest advancements in machine learning techniques and apply them to improve existing processes.
• Communicate technical findings in a clear manner to non-technical stakeholders.

Skills

Python

R

TensorFlow

Keras

PyTorch

Cloud (AWS/GCP)

NLP

Data visualization

Education

Bachelor's or Master's degree in Computer Science, Mathematics, Statistics or related field

Tools

Python

R

TensorFlow

Keras

PyTorch

AWS

Google Cloud

Tableau

Power BI

Job description

Machine Learning Engineer vacancy in Svalbard Norway

Machine Learning Engineer - Part-Time (Svalbard)

Responsibilities

• Develop and implement machine learning algorithms and models to analyze large datasets
• Collaborate with cross-functional teams to understand business needs and identify opportunities for implementing machine learning solutions
• Design, build, and maintain data pipelines for efficient data processing
• Perform data cleaning, feature engineering, and model selection to optimize performance
• Develop tools and frameworks for automating model training, deployment, and monitoring
• Stay updated on the latest advancements in machine learning techniques and apply them to improve existing processes
• Communicate technical findings in a clear manner to non-technical stakeholders

Requirements

• Bachelor's or Master's degree in Computer Science, Mathematics, Statistics or related field
• Strong understanding of machine learning algorithms such as regression, classification, clustering, deep learning etc.
• Proficiency in programming languages such as Python or R for data analysis and model development
• Experience with libraries like Tensorflow, Keras or PyTorch for building neural networks
• Familiarity with cloud computing platforms like AWS or Google Cloud for deploying models at scale
• Excellent problem-solving skills and ability to work independently as well as in a team environment

Preferred Qualifications

• Prior experience working with large datasets and developing production-level machine learning models
• Knowledge of Natural Language Processing (NLP) techniques for text analytics tasks
• Experience with data visualization tools like Tableau or Power BI for presenting insights from data analysis

Salary: The salary for this position is 1800$ per month.

Location: This job is based in Svalbard but can be done remotely with accommodation provided.

Note: This is an urgent job position and we are looking for someone who can start immediately.

We value diversity and are an equal opportunity employer.