Machine Learning Engineer

7 days ago


Jersey City, New Jersey, United States Synergy Global Technologies Inc. Full time
Job Title: Machine Learning Engineer

At Synergy Global Technologies Inc., we are seeking a highly skilled Machine Learning Engineer to join our team. As a Machine Learning Engineer, you will be responsible for designing, developing, and maintaining machine learning pipelines and infrastructure on the Google Cloud Platform (GCP).

Key Responsibilities:
  • Pipeline Development: Build and automate end-to-end machine learning pipelines from data ingestion to model deployment.
  • Infrastructure Management: Develop and manage infrastructure for scalable machine learning solutions using GCP services such as AI Platform, Cloud Functions, BigQuery, and Kubernetes.
  • CI/CD for ML Models: Implement CI/CD processes for machine learning models, ensuring reliable and scalable deployment practices.
  • Monitoring & Optimization: Monitor and optimize machine learning models in production, ensuring high performance and uptime.
  • Collaboration: Work with cross-functional teams, including data engineers, software developers, and product teams, to ensure the successful deployment and operation of models.
Technical Requirements:
  • Experience with Google Cloud 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 (Docker).
  • Experience with CI/CD tools such as Jenkins, CircleCI, or GitLab for ML pipelines.
  • Strong knowledge of DevOps principles and tools (Terraform, Ansible).
Preferred Qualifications:
  • Hands-on experience with MLFlow or Kubeflow.
  • Familiarity with data engineering processes, ETL pipelines, and data lakes.


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