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Machine Learning Engineer

hace 2 meses


Guadalajara, Jalisco, México Nortal A tiempo completo

**About Nortal**

Nortal is a leading global consulting and technology company that helps organizations navigate the complexities of digital transformation. With a strong presence in the Nordics and a growing footprint in the US, we empower our clients to drive innovation and growth through cutting-edge technology and expertise.

**About the Project**

You'll have the opportunity to work on a groundbreaking graphical editor that enables millions of users to create unique and personalized pieces of art. This project is not just about coding; it's about harnessing the power of machine learning to make a meaningful impact on people's lives.

**Job Summary**

We're seeking a highly skilled Machine Learning Engineer to join our team and contribute to the development and deployment of state-of-the-art models and algorithms for tasks such as image generation, recommender systems, prediction models, and more.

**Key Responsibilities**

  • Analyze and preprocess large-scale datasets for training and evaluation purposes
  • Experiment with different architectures, loss functions, and data augmentation techniques to improve model performance
  • Collaborate with cross-functional teams to define project requirements and deliver innovative solutions
  • Troubleshoot and debug issues related to model training, performance, and scalability
  • Integrate the training software into our continuous integration cluster to support metrics persistence across experiments, weekly/nightly neural network builds, and other unit/throughput tests
  • Collaborate with software engineers to integrate machine learning models into production systems
  • Document research findings, experiments, and algorithms in technical reports and presentations

**Requirements**

  • Proven industry experience (2+ years) in developing and deploying deep learning machine learning models
  • Solid understanding of deep learning concepts, convolutional neural networks (CNNs), recurrent neural networks (RNNs), and/or graph neural networks (GNNs)
  • Strong programming skills in Python, including proficiency in one or more deep learning frameworks (TensorFlow, PyTorch, Keras). PyTorch preferred
  • Experience with image processing techniques, computer vision libraries (OpenCV), and related tools
  • Familiarity with AWS infrastructure and toolchain (SageMaker, CloudFormation, CloudWatch, etc)