Accrete AI
Location
Delhi | India
Job description
Responsibilities:Designing the data pipelines and engineering infrastructure to support machine learning systems at scale.Developing and deploying scalable tools and services to handle machine learning training and inference.Applying software engineering rigor and best practices to machine learning, including CI/CD, automation, etc.Automating the deployment and scaling of machine learning models in production.Collaborating with data scientists, software engineers, and other stakeholders to ensure machine learning models' effective deployment and operation.Ensuring the security, privacy, and compliance of machine learning models and related data.Eligibility5+ years of experience in data engineering or a related field.Experience building end-to-end systems as a Platform Engineer, ML DevOps Engineer, or equivalent.Experience in MLOps tools like MLFlow or Azure Machine LearningStrong software engineering skills in complex, multi-language systemsExperience building custom integrations between cloud-based systems using APIs.Experience developing with containers and Kubernetes in cloud computing environments and maintaining ML systems built with open-source tools.
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