We are looking for an experienced and high-energy ML Ops Engineer. The primary function of this role is to design enterprise architecture. Envision and drive solution architecture after hearing the product s vision and user stories with ability to envision and drive a proactive architectural roadmap for an existing product keeping in mind the future requirements.
Requirements
- Experience building end-to-end systems as a Platform Engineer, MLOps Engineer, or Data Engineer (or equivalent).
- Hands-on expertise in Python and ML frameworks.
- Expertise with Linux administration.
- Experience working with cloud computing and database systems.
- Experience building custom integrations between cloud-based systems using APIs.
- Experience developing and maintaining ML systems built with open source tools.
- Experience developing with containers and Kubernetes in cloud computing environments.
- Familiarity with one or more data-oriented workflow orchestration frameworks (KubeFlow, Airflow, Argo, etc.).
- Ability to translate business needs to technical requirements.
- Robust understanding of software testing, benchmarking, and continuous integration.
- Exposure to machine learning methodology and best practices.
- Experience with Prometheus and Grafana integrations for highly scalable environments.
Responsibilities
- Design the data pipelines and engineering infrastructure to support enterprise machine learning systems at scale.
- Take offline models data scientists build and turn them into a real machine learning production system.
- Develop and deploy scalable tools and services to handle machine learning training and inference.
- Identify and evaluate new technologies to improve performance, maintainability, and reliability of machine learning systems.
- Apply software engineering rigor and best practices to machine learning, including CI/CD, automation, etc.
- Support model development, with an emphasis on auditability, versioning, and data security.
- Facilitate the development and deployment of proof-of-concept machine learning systems.
Join the awesome squad. Apply now!
📌 ML Ops Engineer (India)
🏢 TensorGo Technologies
📍 India
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