ML Engineer

2 weeks ago

Bagalur, India Saaki Argus & Averil Consulting Full time
KeyResponsibilities:Design and implement MLOps pipelines using tools andframeworks.Design develop and implement datapipelines and engineering infrastructure to support enterprisescalemachine learning systems.This could involvetasks such as data ingestion preprocessing transformation featureengineering and model training.Build CI/CDpipelines using tools like GitLab CI GitHub Actions Airflow orsimilar solutions to automate the ML lifecycle.Collaborate with data scientists and ML engineersthroughout the ML lifecycle.Design andimplement cloudbased MLOps solutions using platformsExperience in containerization technologiesExperience deploying and maintaining various types ofmachine learning models in productionPerformdata science model reviews including code refactoring andoptimization containerization deployment versioning and monitoringof the models quality.Support data modeldevelopment with a focus on auditability versioning and datasecurity.

Qualifications:Total

7 years

ofwork experience

3 years inMLOpsStrong expertise in GenAIadvanced NLP computer vision and ML techniques.Experience in designing developing and deployingproductiongrade AI solutions.Excellentcommunication and collaboration skills. Ability to workindependently and as part of a team.

Location:Bangalore/Hyderabad

Remote Work :No

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