ML Engg+Vertex AI

0 years

0 Lacs

Posted:1 month ago| Platform: Linkedin logo

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Job Summary

Expert level proficiency in Google Cloud Platform (GCP), demonstrating deep practical experience with: Machine Learning (Core): Vertex AI (Training, Workbench, Vizier, Pipelines, Feature Store, Prediction Endpoints, Model Monitoring), Cloud AI Platform. ML Specific Data Prep: BigQuery (for ML datasets/feature tables, advanced SQL for data preparation), Dataflow (Apache Beam for large scale data pre processing and feature engineering), Cloud Storage (for ML datasets and model artifacts), Pub/Sub (for real time ML triggers/inference). ML Workflow Orchestration: Cloud Composer (Apache Airflow). Compute Intensive Workloads: Strong experience leveraging GPUs/TPUs for accelerated ML training. Compute & Containers: Cloud Run, Kubernetes Engine (GKE) concepts (for custom model serving), Docker. Networking & Security: IAM, VPC (for ML resource isolation). DevOps & IaC: Cloud Build, Artifact Registry, Terraform, Git. Observability: Cloud Monitoring, Cloud Logging, Cloud Trace (for ML pipeline and model debugging). Mastery of Python (including advanced topics, object oriented design, performance optimization) and deep expertise in core ML frameworks: TensorFlow and/or PyTorch. Demonstrable experience with large scale model training techniques, including distributed training, transfer learning, fine tuning pre trained models, and efficient data loading strategies. Strong understanding of various ML algorithms and deep learning architectures, including their underlying mathematical principles, los Experience-5+ Yrs Location-Pune/Bangalore/Hyderbad/Chennai

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