Ref: FRGT 74539ggnghngn7Q

Machine Learning Engineer

Netherlands, North Holland

  • €65,000 to €85,000 EUR
  • Developer Role
  • Skills: Machine learning Deep learning Neural networks Programming Python Java C++ Algorithms Data structures Data analysis SQL Data visualization Software development Cloud computing Problem-solving Communication skills Teamwork
  • Level: Senior

Job description

Machine Learning Engineer

FRGT 74539ggnghngn7Q

Are you a skilled software engineer with a passion for machine Learning based in Netherlands?

We are seeking a Machine Learning Engineer to join our team. In this role, you will be responsible for designing, developing, and deploying machine learning models to solve complex problems in a variety of applications. You will work closely with our data scientists and software engineers to identify areas where machine learning can provide a significant advantage, and develop prototypes to demonstrate the feasibility of these approaches.

To qualify for this position, you should have a strong background in software engineering and experience with machine learning. A degree in computer science, mathematics, or a related field is preferred, but not required if you can demonstrate a strong understanding of the relevant concept.

  • Strong programming skills: You should have experience with at least one programming language, such as Python, Java, or C++, and be comfortable with complex algorithms and data structures.

  • Machine learning knowledge: You should have a good understanding of machine learning concepts, such as supervised and unsupervised learning, deep learning, and neural networks.

  • Data analysis skills: You should be proficient in working with large datasets and be able to use tools such as SQL to extract and manipulate data.

  • Problem-solving skills: As a Machine Learning Engineer, you will be responsible for finding solutions to complex problems using machine learning techniques. You should be able to think critically and creatively to identify and implement the best approaches.

  • Communication skills: You should be able to clearly communicate your ideas and findings to both technical and non-technical audiences, both orally and in writing.

  • Other skills that may be useful include experience with machine learning, optimisation, and parallel computing.