Posted:1 week ago|
Platform:
Work from Office
Internship
Job_Description":" MLOPs Intern role requires long-term maintenance of products by preserving ML serving and scaling support, deployment, and maintenance of our state-of-the-art research and production-grade models. Key Responsibilities:\u200b Develop and implement solutions for scalable and reliable deployment of ML models. Maintain and improve the performance, availability and scalability of our production-grade models Collaborate with the team to ensure seamless integration of ML models into existing products Contribute to the ongoing improvement of MLOps practices within the team Key upgrades to existing ML model serving infrastructure \u200b Requirements What you will bring: A proactive problem-solving mindset and eagerness to learn new technologies Exposure to libraries and toolkits for serving ML models (e.g., TensorFlow Serving, TorchServe, BentoML). Basic experience with cloud-based ML deployment platforms (e.g., Google Vertex AI Platform, Azure Machine Learning, etc). Basic understanding of containerization technologies (e.g., Docker, Kubernetes). Basic knowledge of software development principles, version control (Git), and working with APIs. Strong communication and collaboration skills. Educational Background: \u200bPursuing a degree in Computer Science, Data Science, or a related field. ","
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Experience: Not specified
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