Jr Machine Learning Engineer

Marvik


Fecha: hace 3 días
ciudad: Montevideo, Montevideo
Tipo de contrato: Tiempo completo
We’re hiring a Jr. Machine Learning Engineer!

Are you passionate about AI and currently studying Computer Science, Software Engineering, or a related field? Want to kickstart your career working on real-world machine learning projects? Join our team and gain hands-on experience with cutting-edge technologies while learning from experienced professionals in the field.

What do we offer?

  • Real experience working on applied ML projects
  • Mentorship from senior engineers and data scientists
  • Flexible work environment (remote and/or on-site)
  • Opportunity to grow your technical skills in AI, ML, and software development
  • Friendly and collaborative team, passionate about innovation and learning
  • Access to modern tools and tech: Python, PyTorch, Hugging Face, AWS, GitHub, and more

What will you do?

  • Collaborate with the team on data preparation, model training, and evaluation tasks
  • Assist in researching and implementing ML models for NLP, Computer Vision, or recommendation systems
  • Contribute to the development of ML pipelines and tools
  • Explore libraries like Scikit-learn, Transformers, or TensorFlow
  • Help improve existing systems through testing, debugging, and optimization
  • Stay up-to-date with recent trends in AI/ML

What we’re looking for:

  • Students or recent graduates in Computer Science, Engineering, or similar fields
  • Solid programming skills in Python
  • Basic knowledge of machine learning concepts and frameworks
  • Eagerness to learn, ask questions, and grow in the role
  • Strong communication skills and teamwork mindset
  • Advanced English

Nice to have (not required):

  • Experience with Git, Docker, cloud platforms (AWS, GCP), or Jupyter notebooks
  • Academic or personal projects using ML models (can be part of coursework)
  • Familiarity with libraries like PyTorch, Hugging Face Transformers, OpenCV, or Pandas

Ready to start your ML journey?

Apply now and become part of a team where learning and innovation go hand in hand.
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