
MLops/ML Architect
5 days ago
Company Name :
Job Title :
MLOps / ML Architect
Qualification :
Any graduation
Experience :
14 to 20years
Must Have Skills :
-
14 – 16 years of total experience, 3 – 5 years of relevant experience on Sagemaker AI
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Hands on experience of the following –
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Structure a ML system (batch, real-time, or LLM) as modular ML pipelines that can be independently developed, tested, and operated
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Ensure the consistency of feature data between offline training and online operations
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Govern data in a feature store and promote collaboration between teams with a feature store
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Implement MLOps principles of automated testing, versioning, and monitoring of features and models.
Good to Have Skills :
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How to train ML models from (time-series) tabular data in a feature store
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How to personalize LLMs using fine-tuning and RAG
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How to validate models using evaluation data from a feature store
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Identify and develop reusable model-independent features
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Identify and develop model-dependent features
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Identify and develop on-demand (real-time) features
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validate feature data, test feature functions and test ML pipelines
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Schedule feature pipelines and batch inference pipelines
Roles and Responsibilities :
-
Schedule feature pipelines and batch inference pipelines
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Deploy real-time models, connected to a feature store
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Log and monitor features and models with a feature store
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Develop user-interfaces to ML systems
Location :
Hyderabad, Bangalore and Pune
CTC Range :
40LPA
Notice period :
Immediate
Shift Timings :
Mode of Interview :
Virtual
Mode of Work :
Hybrid
Mode of Hire :
Note :
Contract position
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