Machine Learning Engineer

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

As a Machine Learning Engineer you will be responsible for developing and implementing machine learning algorithms and models to solve complex business problems. You will work closely with data scientists and software engineers to design, build and deploy scalable ML solutions. Your role will involve researching new techniques and approaches in the field of AI and ML as well as leveraging existing tools and frameworks to improve the performance of our products. You should have a strong background in mathematics, statistics, and programming languages such as Python or R. Previous experience with deep learning frameworks like TensorFlow or PyTorch is preferred.

Requirements

• Bachelors or Masters degree in computer science, mathematics, statistics or related field
• Minimum of 2 years of experience in machine learning development
• Strong understanding of mathematical concepts such as linear algebra, calculus, probability theory
• Proficiency in programming languages such as Python or R
• Experience with machine learning libraries/frameworks such as scikit-learn, TensorFlow or PyTorch
• Familiarity with data preprocessing techniques and feature engineering
• Experience with cloud platforms like AWS or Azure is a plus
• Excellent problem-solving skills and ability to think critically about complex issues
• Strong communication skills and ability to work collaboratively in a team environment

Responsibilities

• Designing, developing and deploying machine learning models to solve real-world problems
• Conducting research on new techniques in AIML and implementing them into our products
• 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 our existing systems
• Monitoring model performance and making necessary adjustments to improve accuracy
• Communicating results to stakeholders through reports and presentations
• Staying up-to-date with the latest developments in the field of AIML

Salary $1000 per month

Location Herning Denmark

This position does not include accommodation and requires a valid work visa. Visa sponsorship may be provided for the right candidate on a case-by-case basis.

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status or disability status.