ML Ops Engineer

TensorGo Technologies
Hyderabad, Telangana

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Job details

Qualifications

CI/CD
Kubernetes
Machine learning
Continuous integration
APIs
Software testing
Cloud computing
Linux
Python

Full job description

Job ID

MLO282408

Role

ML Ops Engineer

Location

Hyderabad

Experience

3 to 6 Years

Profile

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.
Strong 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!

Apply Now

MLO282408

ML Ops Engineer

Hyderabad

3 to 6 Years

Profile

Requirements

Responsibilities

Join the awesome squad. Apply now!

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