MLOPS Engineer

3 weeks ago


india LTIMindtree Full time

Please find below JD:


Design the data pipelines and engineering infrastructure to support our clients’ 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 for our clients to handle machine learning training and inference

Identify and evaluate new technologies to improve performance, maintainability, and reliability of our clients’ 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

Communicate with clients to build requirements and track progress

Qualifications

Experience building end-to-end systems as a Platform Engineer, ML DevOps Engineer, or Data Engineer (or equivalent)

Strong software engineering skills in complex, multi-language systems

Fluency in Python

Comfort 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


Total Experience- 3 to 5 Years

Job Location-Bangalore

If interested, please share resume on



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