The Data Analytics Architect will play a leading role in transforming client s business processes by leveraging cutting edge AI and Machine Learning tools and techniques.
The role will be embedded into the Customer Facing Portfolio and value delivery will focus on driving the Omnichannel Digital Portfolio for Sales & Marketing.
Our client is a Medical Equipment Manufacturing company.
Play a lead role in the architecture strategic digital platform;
Ability to be hands-on and develop world class AI & Machine Learning models, applying the latest techniques to embed inferences using MLOps and the API Economy;
Work with product owners and business stakeholders to understand requirements and define user stories;
Takes responsibility of defining E2E platform solution architectures, working on key elements of Integration, Data and Security Design;
Provide expert guidance to the cloud engineering team and act as the TDA for Advanced Data Analytics and data Science Platforms;
Formulate machine learning problems to solve by engaging with in-house customers;
Play a lead role in engaging with DPO, Security, Infrastructure, BI architect teams and suppliers to create solutions, resolve issues, obtain agreement in implementation strategies and create greenfield architectures
Experience using packages such as tensorflow, keras, pytorch, sklearn, statsmodels etc.;
Knowledge of building / maintaining / monitoring Machine Learning and AI models development pipelines;
Ability to write production level code, which is explainable. Demonstrated in depth knowledge of Python and / or R;
Knowledge of MLOps (CT, CI and CD) best practices implementation using out of box technologies (GCP or AWS) or build from scratch;
Experience in implementing various class of models such as regression, classification, NLP, Image recognition / processing, forecasting;
Demonstrated experience in building / implementing / monitoring CI, CD and CT pipelines using AWS Sagemaker and / or Vertex AI;
Knowledge and experience of working on SQL, knowledge on no SQL technologies is a plus.
Opportunity to be part of a project from scratch.
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