Machine Learning Engineer - Flexible Hours & Relocation

Jing Hau; Roskilde; On-site; DKK 85,000 - 102,000; Full time

Benefits offered by this job

Relocation assistance

Visa sponsorship

Flight ticket reimbursement

Job summary

Jing Hau in Roskilde is seeking a skilled Machine Learning Engineer to design, implement and maintain ML models and algorithms. You will collaborate with data scientists and engineers to build scalable data processing pipelines and drive business insights.

The role emphasizes experimentation, performance optimization, and staying ahead of machine learning advances, with a full-time, on-site position and growth opportunities in a dynamic team.

Qualifications

• Bachelor's or Master's degree in Computer Science, Data Science or a related field.
• Minimum of 3 years of experience as a Machine Learning Engineer or similar role.
• Strong knowledge of ML algorithms such as regression, classification, clustering, etc.
• Proficiency in Python, Java or C++.
• Experience with TensorFlow or PyTorch.
• Familiarity with big data technologies like Hadoop, Spark or Hive.
• Excellent problem-solving skills and attention to detail.

Responsibilities

• Design, implement and maintain machine learning models and algorithms.
• Collaborate with data scientists to develop efficient data processing pipelines.
• Optimize machine learning models for performance and scalability.
• Conduct experiments to evaluate the effectiveness of different approaches.
• Communicate complex technical concepts to non-technical stakeholders.
• Stay up-to-date with the latest advancements in machine learning techniques and tools.

Skills

Problem-solving

Attention to detail

Education

Bachelor's or Master's in Computer Science/Data Science

Tools

Python

Java

C++

TensorFlow

PyTorch

Hadoop

Spark

Hive

Job description

Jing Hau in Roskilde is seeking a skilled Machine Learning Engineer to design, implement and maintain ML models and algorithms. You will collaborate with data scientists and engineers to build scalable data processing pipelines and drive business insights.

The role emphasizes experimentation, performance optimization, and staying ahead of machine learning advances, with a full-time, on-site position and growth opportunities in a dynamic team.