Design, develop, and deploy real-world machine learning systems to advance AI and machine learning solutions to scale. Youve operationalized machine learning while building scalable, robust, and secure products. A keen problem solver, use technology to work out complex analytical problems, and have: been exposed to different stages of machine learning system design and development utilized tools for machine learning pipeline management and monitoring (for example, MLflow, Pachyderm, Kubeflow, Seldon, Grafana) gained familiarity with automation and deployment (CircleCI/Jenkins/github actions, etc) and infrastructure as code (Terraform, CloudFormation, etc) technologies employed distributed processing frameworks such as Spark and Dask, and interacted with cloud platforms and container technologies gained practical knowledge of software engineering concepts and best practices, like testing frameworks, packaging, API design, DevOps, DataOps and MLOps developed excellent problem-solving skills and easily adapt to new technologies, trends, and frameworks gained an advanced degree in computer science, engineering, or mathematics, or have equivalent experience Send in your resume hidden_email,
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Employement Type: Full time Industry: IT Services & Consulting Role Category: Not Specified Functional Area: Not Specified Role/Responsibilies: Machine Learning Engineer Job in adyog at