Machine Learning Engineer vacancy in Randers Denmark

Machine Learning Engineer



We are hiring a Machine Learning Engineer to join our team in Randers. As a Machine Learning Engineer, you will be responsible for designing, building, and implementing machine learning models and algorithms that will enable us to make data-driven decisions and improve our business processes. You will work closely with our data scientists and cross-functional teams to understand business needs, identify opportunities for applying machine learning techniques, and develop solutions that will drive business growth.

Responsibilities:
- Designing and developing machine learning models and algorithms
- Analyzing large datasets to identify patterns and trends
- Collaborating with data scientists to understand business requirements and translate them into technical solutions
- Implementing machine learning models into production systems
- Monitoring model performance and making necessary adjustments
- Communicating technical concepts and results to non-technical stakeholders
- Staying up-to-date with the latest developments in the field of machine learning

Requirements:
- Bachelor's or Master's degree in Computer Science, Statistics, or a related field
- Strong understanding of machine learning techniques such as regression, classification, clustering, etc.
- Proficiency in programming languages such as Python or R
- Experience with common machine learning frameworks such as TensorFlow, Keras, or PyTorch
- Knowledge of SQL databases and data manipulation tools
- Ability to work independently as well as in a team environment
- Good communication skills and ability to explain technical concepts to non-technical stakeholders

Preferred qualifications:
- Experience with big data technologies such as Hadoop or Spark
- Experience with cloud computing platforms like AWS or Azure
- Familiarity with software development principles and practices

Salary: 1400$ per month

City: Randers

Employment type: Full-time

Experience level: Entry-level

Location preference: Local candidates preferred but open to remote candidates.

We welcome fresh graduates who have a passion for machine learning and are eager to learn and grow in a fast-paced environment. If you are a motivated individual with a strong foundation in machine learning and programming, we want to hear from you!