Machine Learning Engineer

GulfSea Services; Oslo fylke; On-site; NOK 123,000 - 147,000; Full time

Benefits offered by this job

Accommodation provided

Job summary

GulfSea Services is looking for a skilled Machine Learning Engineer to design, develop, and implement ML algorithms and models in Os. The role involves data analysis, collaboration with cross-functional teams, and applying latest ML advancements to solve business problems.

Strong coding skills in Python, R, or Java and experience with Pandas/NumPy and TensorFlow/PyTorch are required. The position is contract-based with accommodation provided, requiring a minimum of 3 years of relevant experience

Qualifications

• Bachelor’s or Master’s degree in CS, Data Science, or related field.
• Minimum of 3 years of experience as a Machine Learning Engineer or in a similar role.
• Strong knowledge of ML algorithms such as decision trees, random forests, neural networks.
• Proficiency in programming languages such as Python, R, or Java.
• Experience with data analysis tools like Pandas, NumPy, etc.
• Familiarity with deep learning frameworks such as TensorFlow or PyTorch.
• Excellent communication skills and ability to work in a fast-paced environment.

Responsibilities

• Design, develop, and implement machine learning algorithms and models.
• Conduct data analysis and pre-processing to prepare data for modeling.
• Collaborate with cross-functional teams to identify business problems that can be solved using ML.
• Research and apply the latest advancements in ML.
• Develop proofs of concepts and prototypes to demonstrate feasibility of solutions.
• Optimize existing machine learning models for better performance and scalability.
• Communicate results and insights from models to non-technical stakeholders.

Skills

Machine Learning

Python

R

Java

Data Analysis

Education

Bachelor's or Master’s degree

Tools

Pandas

NumPy

TensorFlow

PyTorch

Job description

Machine Learning Engineer vacancy in Os Norway

Machine Learning Engineer

We are hiring a highly skilled and experienced Machine Learning Engineer to join our dynamic team in Os, a vibrant city known for its innovative technology and diverse culture. As a Machine Learning Engineer, you will be responsible for designing, developing, and implementing cutting‑edge machine learning algorithms and models to solve complex business problems. Your role will also involve collaborating with cross‑functional teams to identify new opportunities for applying machine learning techniques and enhancing existing systems. This is a contract position with accommodation provided.

Responsibilities:

• Design, develop, and implement machine learning algorithms and models.
• Conduct data analysis and pre‑processing to prepare data for modeling.
• Collaborate with cross‑functional teams to identify business problems that can be solved using machine learning techniques.
• Research and apply the latest advancements in the field of machine learning.
• Develop proof of concepts and prototypes to demonstrate the feasibility of proposed solutions.
• Optimize existing machine learning models for better performance and scalability.
• Communicate results and insights from models to non‑technical stakeholders.

Requirements:

• Bachelor's or Master's degree in Computer Science, Data Science, or related field.
• Minimum of 3 years of experience as a Machine Learning Engineer or in a similar role.
• Strong knowledge of machine learning algorithms such as decision trees, random forests, neural networks, etc.
• Proficiency in programming languages such as Python, R, or Java.
• Experience with data analysis tools like Pandas, NumPy, etc.
• Familiarity with deep learning frameworks such as TensorFlow or PyTorch.
• Excellent communication skills and ability to work in a fast‑paced environment.

Preferred:

• Experience working on large‑scale projects involving big data processing.
• Knowledge of cloud computing platforms like AWS or Azure.
• Familiarity with Agile development methodologies.

Join our team at this exciting time of growth and innovation! We value diversity and encourage applications from women in the field of technology. In addition to a competitive salary of 1300$, we provide accommodation for our employees. If you have a passion for machine learning and are looking for an opportunity to make a significant impact.