Machine Learning Engineer

TransaLink; Odense; On-site; DKK 88,000 - 106,000; Full time

Benefits offered by this job

Accommodation

Competitive salary

Job summary

TransaLink in Odense seeks a Machine Learning Engineer to design, implement, and maintain ML models that power our products. You will work with data scientists, software engineers, and product managers to deliver data-driven solutions.

Requirements include a CS or math degree and at least 2 years in ML; proficiency in Python or R; experience with TensorFlow or PyTorch; and familiarity with Tableau or PowerBI. You will prototype, test, monitor, and deploy models.

Qualifications

• Bachelor's or Master's degree in Computer Science, Mathematics, or related field.
• At least 2 years of experience working as a Machine Learning Engineer or similar role.
• Strong understanding of machine learning concepts such as regression, classification, clustering, etc.
• Proficiency in programming languages such as Python or R
• Experience with deep learning frameworks such as TensorFlow or PyTorch
• Familiarity with data visualization tools like Tableau or PowerBI
• Excellent problem-solving skills and attention to detail

Responsibilities

• Design, implement, and maintain machine learning algorithms and models
• Collect, clean, and preprocess data for use in machine learning models
• Collaborate with cross-functional teams to identify business problems that can be solved using machine learning
• Develop prototype applications for testing and validation of machine learning models
• Monitor model performance and make necessary adjustments to improve accuracy
• Stay up-to-date with the latest developments in the field of machine learning

Skills

ML concepts

Python

R

Problem solving

Attention to detail

Communication

Education

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

Tools

TensorFlow

PyTorch

Tableau

PowerBI

Hadoop

Spark

Job description

Machine Learning Engineer vacancy in Odense Denmark

Machine Learning Engineer A fast-growing technology company in Odense is seeking a highly skilled and motivated Machine Learning Engineer to join our team. As a Machine Learning Engineer, you will be responsible for designing, implementing, and maintaining machine learning algorithms and models to help improve our products and services. You will work closely with our data scientists, software engineers, and product managers to develop solutions that meet our customer's needs.

Key Responsibilities:

• Design, implement, and maintain machine learning algorithms and models
• Collect, clean, and preprocess data for use in machine learning models
• Collaborate with cross-functional teams to identify business problems that can be solved using machine learning
• Develop prototype applications for testing and validation of machine learning models
• Monitor model performance and make necessary adjustments to improve accuracy
• Stay up-to-date with the latest developments in the field of machine learning

Requirements:

• Bachelor's or Master's degree in Computer Science, Mathematics, or related field
• At least 2 years of experience working as a Machine Learning Engineer or similar role
• Strong understanding of machine learning concepts such as regression, classification, clustering, etc.
• Proficiency in programming languages such as Python or R
• Experience with deep learning frameworks such as TensorFlow or PyTorch
• Familiarity with data visualization tools like Tableau or PowerBI
• Excellent problem-solving skills and attention to detail

Preferred Qualifications:

• Experience working with large datasets and distributed computing platforms like Hadoop or Spark
• Knowledge of natural language processing (NLP) techniques
• Experience deploying machine learning models into production environments
• Ability to communicate complex technical concepts to non-technical stakeholders

We offer:

We offer a competitive salary of 1300$ per month along with accommodation. This is a full-time position based in Odense. We are looking for someone who is passionate about using machine learning to drive innovation and can work well in a fast-paced, collaborative environment.