ML Platform Engineer – Google Cloud (GCP) and Vertex AI
Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!
Job Description
Requirements
Expertise in cloud platforms, ML engineering, data pipelines and CI/CD for deploying and managing machine learning solutions. Google Cloud Platform (GCP) services: AI Platform (Vertex AI), Cloud Storage, BigQuery, Cloud Functions, Cloud PubSub, Cloud Build, Airflow, and Cloud Run. Understanding of ML concepts and LLMs (training, validation, hyperparameter tuning, evaluation). Experience with TensorFlow, Keras, PyTorch, and scikit-learn. Data preprocessing, ETL, and data pipelines using PySpark and Scala using serverless dataproc. CI/CD for ML (MLOps)
Knowledge of CI/CD tools like Looper Pro and Jenkins. Model versioning, continuous training, and deployment using Vertex AI pipelines. Automation Scripting
Strong programming skills in Python, Bash, and SQL. Automation of workflows and ML pipelines. DevOps Containerization
Kubernetes (GKE) and Docker for containerization and orchestration. Good to have Helm charts and YAML for Kubernetes dep...
Expertise in cloud platforms, ML engineering, data pipelines and CI/CD for deploying and managing machine learning solutions. Google Cloud Platform (GCP) services: AI Platform (Vertex AI), Cloud Storage, BigQuery, Cloud Functions, Cloud PubSub, Cloud Build, Airflow, and Cloud Run. Understanding of ML concepts and LLMs (training, validation, hyperparameter tuning, evaluation). Experience with TensorFlow, Keras, PyTorch, and scikit-learn. Data preprocessing, ETL, and data pipelines using PySpark and Scala using serverless dataproc. CI/CD for ML (MLOps)
Knowledge of CI/CD tools like Looper Pro and Jenkins. Model versioning, continuous training, and deployment using Vertex AI pipelines. Automation Scripting
Strong programming skills in Python, Bash, and SQL. Automation of workflows and ML pipelines. DevOps Containerization
Kubernetes (GKE) and Docker for containerization and orchestration. Good to have Helm charts and YAML for Kubernetes dep...