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ExecuStaff Kuwait

Randers Kommune / Global

Machine Learning Engineer

  • kr.133.000 - kr.177.000
  • Remote

Job Summary

Salary Range:
kr.133.000 - kr.177.000
Work Settings:
Fjern
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Job Description

We are a growing tech company based in Odense Denmark and we are seeking a talented Machine Learning Engineer to join our team. In this role you will be responsible for developing testing and deploying machine learning algorithms and models to solve complex business problems. You will work closely with our data science team to analyze large datasets identify patterns and trends and create accurate predictive models. The ideal candidate should have a strong background in machine learning techniques and programming languages such as Python or R. This is a full-time position with a starting salary of $1800 per month.

Responsibilities Develop test and deploy machine learning models to solve business problems

Collaborate with data scientists to analyze large datasets and identify patterns

Use various programming languages Python R to implement machine learning algorithms

Continuously research and implement new techniques in the field of machine learning

Monitor model performance and make necessary adjustments

Communicate findings and insights to non-technical stakeholders

Requirements Bachelors or Masters degree in Computer Science Data Science or related field

Strong knowledge of machine learning techniques such as regression classification clustering

Proficiency in programming languages such as Python or R

Experience with data analysis tools such as SQL or Pandas

Familiarity with deep learning frameworks TensorFlow Keras is a plus

Ability to work independently as well as part of a team

Excellent problem-solving skills and attention to detail

Benefits Competitive starting salary of $1800 per month with potential for growth

Opportunities for professional development through training programs and conferences

Collaborative work environment with opportunities for mentorship from experienced data scientists

Flexible working hours and potential for remote work options

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