Senior Machine Learning Engineer
4 weeks ago
At Synergy Global Technologies Inc., we're seeking a highly skilled Senior Machine Learning Engineer to join our team. As a key member of our engineering team, you'll be responsible for designing, developing, and maintaining machine learning pipelines and infrastructure on the Google Cloud Platform (GCP).
Key Responsibilities:
- Design and develop scalable machine learning pipelines from data ingestion to model deployment.
- Develop and manage infrastructure for machine learning solutions using GCP services such as AI Platform, Cloud Functions, BigQuery, and Kubernetes.
- Implement CI/CD processes for machine learning models, ensuring reliable and scalable deployment practices.
- Monitor and optimize machine learning models in production, ensuring high performance and uptime.
- Collaborate with cross-functional 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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