Model Lifecycle Management – Who Needs Engineers https://whoneedsengineers.com/wne_live Software Engineering Recruitment Mon, 28 Oct 2024 05:30:02 +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 Lifecycle Management – Who Needs Engineers https://whoneedsengineers.com/wne_live 32 32 Working Student for Machine Learning Applications https://whoneedsengineers.com/jobs/emerging-technologies-and-specialized-roles/working-student-for-machine-learning-applications-2/ Mon, 28 Oct 2024 05:30:02 +0000 https://whoneedsengineers.com/wne_live/jobs/jobs-categories/working-student-for-machine-learning-applications-2/ Working Student for Machine Learning Applications

Job Description:

    Join a fast-growing Vision and AI company focused on the food industry, with locations in Germany, India, and headquarters in the US. We are committed to developing innovative software solutions that help our clients contribute to sustainability efforts by minimizing food waste and optimizing personnel planning, ultimately reducing CO2 emissions. Our Munich office is expanding its Machine Learning and AI teams, and we are seeking a motivated working student to assist in this exciting journey. As a part of our team, you'll work with state-of-the-art technologies, engage in deep learning and computer vision projects, and play a pivotal role in enhancing our machine learning models and algorithms. This position offers a hybrid working model that fosters a low-hierarchy environment and a 'hands-on' approach, encouraging an open-minded feedback culture.

IT Languages:

  • Python
  • PyTorch
  • TensorFlow

As a working student, you will support our AI team in various tasks related to machine learning and computer vision.:

    Collaborate with the AI team to enhance and optimize machine learning models, tools, and algorithms;; Implement and test new machine learning tools and algorithms to improve product offerings;; Conduct experiments and analyze data to derive insights that inform model improvements

Spoken Languages:

  • English;; German

Skillset:

  • Machine learning
  • Deep learning
  • Computer vision
  • Python programming
  • Model lifecycle management

Soft Skills:

  • Analytical thinking
  • Problem-solving
  • Motivated to learn
  • Ability to work independently

Qualifications:

  • Currently pursuing a degree in computer science, robotics, mathematics, or a related field
  • Residing in the greater Munich area and willing to work in the office two days a week
  • Strong foundation in machine learning, particularly deep learning
  • Proficient in Python programming and experienced with frameworks like PyTorch or TensorFlow
  • Familiarity with computer vision and knowledge of the model lifecycle, including training, evaluation, and deployment

Years of Experience:

    0

Location:

    Germany

Job Benefits:

  • Dynamic and intercultural work environment
  • Individual growth opportunities
  • High degree of responsibility
  • Access to leasing bikes through Jobrad
  • Participation in various company events
  • Corporate benefits

Working Conditions:

    Hybrid

Employment Type:

    Part-time

Company Culture:

  • The company promotes openness, diversity, and equal opportunity, fostering a collaborative environment where each team member is valued. The organizational structure is flat, allowing for direct communication and a hands-on approach. Employees are encouraged to contribute ideas and innovations, reflecting a culture that values initiative and creativity.

Opportunities For Advancement:

  • Career development in machine learning and AI, Potential for future full-time employment, Opportunities to work on diverse projects with international clients

Visa Sponsorship:

    Not Available
]]> Graduate Machine Learning Engineer I https://whoneedsengineers.com/jobs/emerging-technologies-and-specialized-roles/graduate-machine-learning-engineer-i-2/ Mon, 07 Oct 2024 23:20:02 +0000 https://whoneedsengineers.com/wne_live/jobs/jobs-categories/graduate-machine-learning-engineer-i-2/ Graduate Machine Learning Engineer I

Job Description:

    We are seeking a motivated Graduate Machine Learning Engineer I to join our innovative team. In this role, you will play a crucial part in the design, development, optimization, and implementation of machine learning solutions that address specific challenges faced by our team. You will work under the mentorship of experienced professionals, gaining insights into the intricacies of machine learning infrastructure, model development, and deployment processes. Your responsibilities will include utilizing product datasets to extract valuable insights and iteratively enhance machine learning models. This position provides a unique opportunity to work with cutting-edge algorithms and technologies, allowing you to make significant contributions to the evolution of our products.

IT Languages:

  • Python
  • Java
  • Go
  • C/C++

As a Graduate Machine Learning Engineer I, you will engage in various tasks that contribute to the team’s objectives.:

    Develop and implement machine learning algorithms for diverse business challenges;; Analyze product datasets to derive insights and inform model iterations;; Continuously innovate and apply advanced machine learning algorithms at scale

Spoken Languages:

  • English

Skillset:

  • Machine Learning
  • Deep Learning
  • Model Lifecycle Management
  • Statistical Analysis

Soft Skills:

  • Exceptional problem-solving skills
  • Strong critical thinking
  • Effective communication

Qualifications:

  • Bachelor’s or Master’s degree in Machine Learning, Computer Science, or a related technical field
  • Graduation date in 2023 or 2024
  • Working knowledge of contemporary machine learning frameworks

Years of Experience:

    0

Location:

    United States

Job Benefits:

  • Competitive salary
  • Participation in bonus program
  • Equity awards
  • Health benefits
  • Flexible working hours

Working Conditions:

    Full Time

Employment Type:

    Permanent Contract

Company Culture:

  • We foster an inclusive and collaborative environment where innovation thrives. Our team values diversity and encourages open communication, ensuring that every team member's voice is heard and valued. We believe in continuous learning and provide ample opportunities for professional development.

Opportunities For Advancement:

  • Career growth within the machine learning field, Access to advanced training programs, Mentorship from experienced engineers

Visa Sponsorship:

    Available
]]>