Experience in developing and implementing MLOps solutions., Advanced knowledge of Python and ML frameworks such as TensorFlow, PyTorch, or Scikit-learn., Familiarity with cloud platforms (AWS, GCP, Azure) and infrastructure tools like Terraform or CloudFormation., Understanding of DevOps concepts and best practices in software development..
Key responsabilities:
Design, develop, and maintain ML pipelines for training, validating, deploying, and monitoring models in production.
Implement CI/CD practices for Machine Learning workflows.
Collaborate with data scientists and software engineers to optimize models and deployment processes.
Continuously monitor and improve the performance of models in production.
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We provide nearshoring of fully dedicated IT professionals from Latin America and build remarkable process-driven + user-centered software to help companies to scale their teams quickly with the highest customer satisfaction standards
We have 14+ years developing software and nearshoring for global companies such as Volkswagen, FIAT, IVECO, government agencies and other companies from around the globe.