Remote Part-Time Machine Learning Engineer Data Solutions

Azure Dine & Hire; Herning; Hybrid; DKK 72,000 - 86,000; Part time

Benefits offered by this job

Remote work option

Job summary

Azure Dine & Hire in Herning is seeking a skilled Machine Learning Engineer for a part-time role with the option to work remotely. The position welcomes applicants from any nationality and offers visa sponsorship.

You will develop and implement ML algorithms on large datasets, collaborate with data scientists and software engineers, and code in Python, R and Java. A degree in Computer Science or Mathematics is required, with practical ML experience and knowledge of TensorFlow or Keras preferred.

Qualifications

• Degree in CS/Math or related field
• Proven ML engineering experience
• Strong understanding of statistics, data structures and algorithms
• Proficiency in Python, R, Java
• Experience with TensorFlow or Keras preferred
• Excellent problem-solving and teamwork skills
• Good communication and collaboration abilities

Responsibilities

• Develop and implement ML algorithms on large datasets
• Collaborate with data scientists and software engineers to design and implement solutions
• Code ML models in Python, R and Java
• Conduct research on new ML techniques and algorithms
• Identify business needs and develop data-driven solutions
• Communicate findings to stakeholders clearly

Skills

Python

R

Java

Statistics

Data structures

Algorithms

Problem-solving

Communication

Team collaboration

Education

Bachelor's degree in Computer Science

Master's degree in Computer Science

Bachelor's or Master's in Mathematics

Tools

TensorFlow

Keras

Job description

Azure Dine & Hire in Herning is seeking a skilled Machine Learning Engineer for a part-time role with the option to work remotely. The position welcomes applicants from any nationality and offers visa sponsorship.

You will develop and implement ML algorithms on large datasets, collaborate with data scientists and software engineers, and code in Python, R and Java. A degree in Computer Science or Mathematics is required, with practical ML experience and knowledge of TensorFlow or Keras preferred.