Giga Giglet: Ml/OpS Engineer

Hi;

Hope you are doing great

Please go through the JD and revert me your comfortness :-

Business Technology ML/Ops Support Engineer

Location:- remote

Responsibilities -

• Work on onboarding ML and Deep Learning models using ML Engineering Tech stack

• Get Knowledge Transition of model artifacts incl code, documentation from Dev Team

• Deploy models in production environment

• Create SOPs for model onboarding, model deployment and support

• Provide Model Production Support incl trouble shooting, bug fixes and do RCA

• Build and trigger model pipelines for feature engineering, inferencing and model training

• Trigger Model retraining refreshes

• Build Model Health monitoring dashboards to track model KPIs, model drift and feedback loop

• Provide data dumps of model related data

• Write production-ready code that is easily testable, understood by other developers and accounts for edge cases and errors

• Write unit tests as well as higher level tests to handle expected edge cases and errors gracefully, as well as happy paths

• Uses bug tracking, code review, version control and other tools to organize and deliver work

• Participate in scrum calls and agile ceremonies, and effectively communicate work progress, issues and dependencies Qualification & Experience

• 1-4 years of experience in deploying, productionizing and supporting ML models

• Experience in ML Ops to measure and track model performance

• Good programming expertise in Python

• Experience in cloud services like AWS or Azure (preferably AWS)

• Experience in production operation support

• Fundamentals of machine learning and deep learning

• Collaborate well with teams with different backgrounds / expertise / functions. Additional Skills

• Experience in ML platforms like Dataiku or other platforms (e.g. Sagemaker, Azure ML, MLFlow)

Giga Giglet