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Posted:2 months ago| Platform: 
Hybrid
Full Time
Experience: 4+ years of hands-on experience in deploying and monitoring machine learning models. Basic understanding of ML and data science/modeling aspects. Experience with open-source tools for MLOps, such as Kubernetes, Docker, and Apache Airflow and developing and streamlining workflows, building scalable pipelines, etc. Ensuring successful model development, testing, optimization, scaling, monitoring/observability, and governance Continuous integration and continuous deployment (CI/CD) Proficiency in cloud platforms, especially Azure and/or AWS. Strong scripting skills (e.g., Python) for automation and tool development. Problem-Solving: o Strong problem-solving skills with a focus on finding efficient and scalable solutions. o Ability to learn new tools on the go and developing best practices is mandatory.
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