Design, develop, and deploy real-world machine learning systems to advance AI and machine learning solutions to scale.

You’ve 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 recent technologies, trends, and frameworks
- gained an advanced degree in computer science, engineering, or mathematics, or have equivalent experience

Send in your resume [email protected]

📌 Machine Learning Engineer (India)
🏢 adyog
📍 India