Lead Machine Learning Engineer

The Role Customer is expecting a lead the ML engineers to work closely with architects on building Deployment Environment and Enterprise Launching of a set of Models Your responsibilities: * Work closely with clients Data Team on building Deployment Environment and Enterprise Launching of a set of Models [Predictive/Text-Embedding/Foundation etc] * Build the Deployment Maturity with ML pipelines * Monitoring and Operations Support of the Models * Work closely with the Client's Data Science Team and Process Innovation Team to understand and improve the ways of working. Your Profile * Professional Knowledge on building ML Pipelines in Kubeflow, TFX using vertex AI as Orchestration layer. * SDLC Maturity on Model Deployment \& Monitoring * Professional Knowledge in Python * Maturity in Model Deployments which includes Data Preprocessing, Optimization \& Training, Serialization if needed. * AB Testing of Models * GCP Knowledge * CICDCT of Models * Expertise in implementing and maintaining Container Registry,Artefact Registry for the ML models. * Expertise in Code coverage and static code analysis tools like Pylint. * Expertise in CML [Continuous Machine Learning] to implement CICD in ML Models. Desirable skills/knowledge/experience: * DevSecOps knowledge * Excellent communication skill * External certification in ML/Data Science. * Data Science Project experience. * Any certifications in Python, DevOps