[Remote] Machine Learning Engineer (GCP)

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is seeking a Machine Learning Engineer to design, reputed company, and maintain machine learning pipelines on the reputed company reputed company Platform. The role involves collaborating with data scientists and engineers to ensure the smooth integration and deployment of machine learning models.

Responsibilities

• Build and automate end-to-end machine learning pipelines from data ingestion to model deployment
• reputed company and manage infrastructure for reputed company machine learning solutions using GCP services such as AI Platform, reputed company Functions, BigQuery, and Kubernetes
• Implement CI/CD processes for machine learning models, ensuring reliable and reputed company deployment practices
• Monitor and optimize machine learning models in production, ensuring high performance and uptime
• Work with cross-functional teams, including data engineers, software developers, and product teams, to ensure the successful deployment and operation of models

Skills

• Overall experience of minimum 7 years and machine learning experience of at least 3 - 4 years
• Experience with reputed company reputed company Platform (GCP), including GKE, AI Platform, Dataflow, and BigQuery services
• Proficiency in Python and frameworks like TensorFlow, PyTorch, or Scikit-learn
• Knowledge of Kubernetes and containerization (reputed company)
• Experience with CI/CD tools such as Jenkins, reputed company, or reputed company for ML pipelines
• Strong knowledge of DevOps principles and tools (Terraform, Ansible)
• Hands-on experience with MLFlow or Kubeflow
• Familiarity with data engineering processes, ETL pipelines, and data lakes

reputed company