ML Engineer: Design, Build & Deploy Scalable AI Models

SmartAgro; Herning; On-site; DKK 67,000 - 80,000; Full time

Job summary

SmartAgro in Herning, Denmark, is seeking a Machine Learning Engineer to design, develop and deploy scalable ML solutions that address complex business problems. You will work closely with data scientists and software engineers to build and optimize models, pipelines and features.

The role requires a strong background in mathematics and statistics, expertise in Python or R, and experience with TensorFlow or PyTorch.

Qualifications

• Bachelor's or Master's degree in computer science, mathematics, statistics or related field
• Minimum of 2 years of experience in machine learning development
• Strong understanding of linear algebra, calculus, probability theory
• Proficiency in Python or R
• Experience with scikit-learn, TensorFlow or PyTorch
• Familiarity with data preprocessing and feature engineering
• Experience with cloud platforms like AWS or Azure is a plus
• Excellent problem-solving skills and ability to think critically
• Strong communication skills and ability to work collaboratively in a team

Responsibilities

• Designing, developing and deploying machine learning models to solve real-world problems
• Conducting research on new AIML techniques and implementing them
• Collaborating with data scientists to preprocess datasets for model training
• Building pipelines for feature engineering and model evaluation
• Writing clean, efficient code that can be integrated into existing systems
• Monitoring model performance and adjusting to improve accuracy
• Communicating results to stakeholders through reports and presentations
• Staying up-to-date with developments in AIML

Skills

Python

R

Mathematics

Statistics

Problem-solving

Communication

Education

Bachelor's or Master’s in CS/Math/Stats

Tools

scikit-learn

TensorFlow

PyTorch

AWS/Azure

Job description

SmartAgro in Herning, Denmark, is seeking a Machine Learning Engineer to design, develop and deploy scalable ML solutions that address complex business problems. You will work closely with data scientists and software engineers to build and optimize models, pipelines and features.

The role requires a strong background in mathematics and statistics, expertise in Python or R, and experience with TensorFlow or PyTorch.