Machine Learning Engineer

VivaVibe Productions

Almada

On-site

EUR 16,000 - 20,000

Full time

12 days ago
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Benefits offered by this job

Accommodation option

Job summary

VivaVibe Productions in Almada, Portugal is seeking a Machine Learning Engineer to design, develop, and implement ML models solving real business problems.

You will collaborate with data scientists and software engineers, work with large datasets, and use Python, Java, or R to build and optimize models, focusing on data preparation and evaluation.

This is a full-time role with accommodation options available.

Qualifications

  • Bachelor's degree in Computer Science, Mathematics, or related field.
  • Minimum of 2 years of experience as a Machine Learning Engineer or similar role.
  • Strong experience in developing and implementing machine learning algorithms using Python, Java or R.
  • Proficiency in working with large datasets using SQL or other database tools.
  • Familiarity with deep learning frameworks such as TensorFlow or PyTorch is a plus.

Responsibilities

  • Develop and implement machine learning algorithms and models for various use cases.
  • Collaborate with data scientists to understand business requirements and design appropriate solutions.
  • Work with large datasets to clean, transform, and prepare data for analysis.
  • Utilize various programming languages such as Python, Java, or R to build machine learning models.
  • Optimize model performance through hyperparameter tuning and feature engineering.
  • Communicate effectively with stakeholders to present findings and recommendations from the machine learning models.
  • Stay updated on the latest trends and advancements in machine learning techniques.

Skills

Python
Java
R
SQL
Deep learning

Education

Bachelor's degree in Computer Science, Mathematics, or related field

Tools

TensorFlow
PyTorch
SQL

Job description

Machine Learning Engineer

We are seeking a highly skilled Machine Learning Engineer to join our team in Almada. As a Machine Learning Engineer, you will be responsible for designing, developing, and implementing machine learning algorithms and models to solve complex business problems. Your role will involve working closely with data scientists, software engineers, and other cross-functional teams to deliver high-quality machine learning solutions.

Responsibilities
  • Develop and implement machine learning algorithms and models for various use cases.
  • Collaborate with data scientists to understand business requirements and design appropriate solutions.
  • Work with large datasets to clean, transform, and prepare data for analysis.
  • Utilize various programming languages such as Python, Java, or R to build machine learning models.
  • Optimize model performance through hyperparameter tuning and feature engineering.
  • Communicate effectively with stakeholders to present findings and recommendations from the machine learning models.
  • Stay updated on the latest trends and advancements in machine learning techniques.
Requirements
  • Bachelor's degree in Computer Science, Mathematics, or related field.
  • Minimum of 2 years of experience as a Machine Learning Engineer or similar role.
  • Strong experience in developing and implementing machine learning algorithms using Python, Java or R.
  • Proficiency in working with large datasets using SQL or other database tools.
  • Familiarity with deep learning frameworks such as TensorFlow or PyTorch is a plus.
  • Strong problem-solving skills and ability to think critically about complex problems.
  • Excellent communication skills and ability to collaborate effectively in cross-functional teams.

Salary: $1800 per month (negotiable based on experience)

Location: Almada, Portugal

Type: Full-time (with accommodation option available)

We welcome women candidates for this position.

If you are passionate about using your skills to solve real-world problems through machine learning techniques, then we encourage you to apply for this exciting opportunity. Join our dynamic team in Almada and be a part of driving innovation in the field of machine learning.

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