Note: The job is a remote job and is open to candidates in USA. Inizio Partners is seeking a Machine Learning Engineer to design, develop, and maintain machine learning pipelines on the Google Cloud 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
- Develop and manage infrastructure for scalable 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
- 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 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)
- Hands-on experience with MLFlow or Kubeflow
- Familiarity with data engineering processes, ETL pipelines, and data lakes
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