Machine Learning Engineer (Part-Time)

ApexBuild Solutions

Almada

Presencial

EUR 15 000 - 20 000

Tempo parcial

14 dias+
Gerador de candidaturas

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Vantagens oferecidas por esta oferta de emprego

Accommodation provided
Part-time schedule
Career growth opportunities
Collaborative environment

Resumo da oferta

ApexBuild Solutions in Almada is hiring a part-time Machine Learning Engineer to design, implement and optimize ML models that enhance our products and services. You will collaborate with data scientists and software engineers to gather and interpret data for business decisions and stay current with ML techniques.

The role requires a strong background in ML and programming, with proficiency in Python and at least one other language. English communication is essential.

Qualificações

  • Bachelor's or Master's degree in Computer Science, Mathematics, or related field
  • 2+ years experience in machine learning or data science
  • Proficient in Python, Java, or C++
  • Experience with TensorFlow, PyTorch, or scikit-learn
  • Knowledge of data mining and statistics
  • Excellent problem-solving and ability to work independently
  • Strong English communication skills

Responsabilidades

  • Develop and implement machine learning algorithms and models to improve our products and services
  • Collaborate with data scientists and software engineers to gather, analyze, and interpret data
  • Conduct testing and validation of models to ensure accuracy and efficiency
  • Optimize existing algorithms for performance improvement
  • Stay up-to-date with advancements in ML techniques and technologies

Conhecimentos

Python
Java
C++
TensorFlow
PyTorch
scikit-learn
Data mining
Statistical analysis
English communication

Formação académica

Bachelor's/Master's in CS or Math

Descrição da oferta de emprego

Machine Learning Engineer (Part-Time)

We are hiring a part-time Machine Learning Engineer to join our team in Almada. In this role, you will be responsible for developing and implementing machine learning algorithms and models to improve our company's products and services. You will work closely with our data scientists and software engineers to gather, analyze, and interpret data to drive business decisions. The ideal candidate will have a strong background in machine learning, programming, and data analysis, as well as excellent communication skills. This position offers a competitive salary of 1800$ per month and includes accommodation for non-local candidates. Suitable for both men and women.

Requirements
  • Bachelor's or Master's degree in Computer Science, Mathematics, or related field
  • Minimum of 2 years experience in machine learning or data science
  • Proficient in programming languages such as Python, Java, or C++
  • Experience with machine learning libraries/frameworks such as TensorFlow, PyTorch, or scikit-learn
  • Knowledge of data mining techniques and statistical analysis
  • Excellent problem-solving skills and ability to work independently
  • Strong communication skills in English
Responsibilities
  • Develop and implement machine learning algorithms and models to improve our company's products and services
  • Collaborate with data scientists and software engineers to gather, analyze, and interpret data
  • Conduct testing and validation of models to ensure accuracy and efficiency
  • Optimize existing algorithms for performance improvement
  • Stay up-to-date with advancements in machine learning techniques and technologies
Benefits
  • Competitive salary of 1800$ per month
  • Part-time schedule with flexible working hours
  • Accommodation provided for non-local candidates
  • Opportunities for personal growth and professional development
  • Collaborative work environment

If you are passionate about using your machine learning skills to drive innovation and make an impact on the industry, we encourage you to apply for this exciting opportunity. We welcome applicants of all nationalities and genders. Join our team in Almada and be a part of our mission to revolutionize the way we use technology.

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