Model evaluation techniques – Who Needs Engineers https://whoneedsengineers.com/wne_live Software Engineering Recruitment Sun, 15 Sep 2024 17:00:02 +0000 en-US hourly 1 https://wordpress.org/?v=6.6.2 https://whoneedsengineers.com/wne_live/wp-content/uploads/2023/06/cropped-wne_logo-3-32x32.png Model evaluation techniques – Who Needs Engineers https://whoneedsengineers.com/wne_live 32 32 Junior Machine Learning Engineer https://whoneedsengineers.com/jobs/emerging-technologies-and-specialized-roles/junior-machine-learning-engineer/ Sun, 15 Sep 2024 17:00:02 +0000 https://whoneedsengineers.com/wne_live/jobs/jobs-categories/junior-machine-learning-engineer/ Junior Machine Learning Engineer

Job Description:

    We are seeking a motivated and enthusiastic Junior Machine Learning Engineer to join our dynamic team. In this role, you will have the opportunity to dive deep into the world of machine learning, participating in the development and implementation of innovative solutions. You will work closely with experienced engineers and data scientists to understand project requirements and contribute to exciting projects that drive the future of our platform. This position offers a unique chance to enhance your technical skills in a collaborative environment, while also gaining practical experience that is essential for your career development in the ever-evolving field of machine learning.

IT Languages:

  • Python
  • Java
  • C++

As a Junior Machine Learning Engineer, you will be responsible for various tasks that are crucial to the development of machine learning models and solutions.:

    Collaborate with senior engineers and data scientists to gather project requirements;; Assist in collecting, preprocessing, and analyzing data to identify patterns;; Implement and optimize machine learning models and algorithms;; Participate in model evaluation, validation, and performance tuning;; Contribute to the development of existing machine learning infrastructure;; Stay updated on the latest advancements in machine learning;; Document technical processes and outcomes effectively

Spoken Languages:

  • English;; German;; French

Skillset:

  • Machine learning algorithms
  • Statistical concepts
  • Data preprocessing
  • Feature engineering
  • Model evaluation techniques

Soft Skills:

  • Strong problem-solving skills
  • Excellent communication abilities
  • Adaptability and willingness to learn
  • Team collaboration skills
  • Self-motivation

Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, or a related field
  • Solid understanding of machine learning fundamentals and algorithms
  • Proficiency in programming languages such as Python, Java, or C++
  • Familiarity with machine learning frameworks and libraries, including TensorFlow, PyTorch, or scikit-learn
  • Experience with data preprocessing and feature engineering

Years of Experience:

    1

Location:

    Europe

Job Benefits:

  • Remote working options
  • Professional development opportunities
  • Collaborative team environment
  • Access to cutting-edge technology
  • Flexible working hours

Working Conditions:

    Full Time

Employment Type:

    Permanent Contract

Company Culture:

  • The company fosters a culture of innovation and continuous learning, encouraging employees to share knowledge and collaborate on projects. Team members are valued for their contributions, and there is a strong emphasis on personal and professional growth.

Opportunities For Advancement:

  • Career progression within the machine learning field, Opportunities to work on advanced projects, Participation in workshops and conferences

Visa Sponsorship:

    Available
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