ML Engineer - Build Scalable Models & Strategic Insights

Workato; Vejle; On-site; DKK 114,000 - 136,000; Full time

Job summary

Workato is seeking a Machine Learning Engineer to design, develop, and implement ML algorithms and models. You will work with data scientists and software engineers to translate requirements into scalable solutions and develop predictive models to support business decisions.

The role involves data cleaning, feature engineering and presenting insights to stakeholders, with focus on performance, scalability and independence in execution.

Qualifications

• Bachelor's or Master's degree in CS/Math or a related field.
• Minimum 3 years of experience as a Machine Learning Engineer or similar role.
• Strong knowledge of ML techniques such as regression, classification, clustering.
• Proficiency in Python or R; experience with TensorFlow or PyTorch.
• Familiarity with big data technologies like Hadoop or Spark.
• Excellent communication skills.

Responsibilities

• Designing and implementing ML algorithms, models and systems.
• Collaborating with data scientists to analyze large datasets and identify useful features.
• Developing predictive models to support business decisions.
• Optimizing ML models for scalability and efficiency.
• Performing data cleaning, preprocessing, feature engineering and selection.
• Identifying patterns and trends in data using statistical techniques.
• Communicating findings and insights to both technical and non-technical stakeholders.

Skills

Communication skills

Independent work

Education

Bachelor's or Master's in CS/Math or related

Tools

Python

R

TensorFlow

PyTorch

Hadoop

Spark

Job description

Workato is seeking a Machine Learning Engineer to design, develop, and implement ML algorithms and models. You will work with data scientists and software engineers to translate requirements into scalable solutions and develop predictive models to support business decisions.

The role involves data cleaning, feature engineering and presenting insights to stakeholders, with focus on performance, scalability and independence in execution.