A technology solutions firm is seeking a Machine Learning Engineer to design, develop, and maintain machine learning pipelines on the Google Cloud Platform. This remote position requires a minimum of 7 years of overall experience and expertise in GCP, Python, and CI/CD practices. The ideal candidate will work closely with data scientists and DevOps teams. Strong collaboration skills are essential.
Qualifications
Overall experience of minimum 7 years and machine learning experience of at least 3-4 years.
Experience with CI/CD processes for machine learning models.
Hands-on experience with MLFlow or Kubeflow preferred.
Responsibilities
Build and automate end-to-end machine learning pipelines.
Develop and manage infrastructure for scalable ML solutions on GCP.
Monitor and optimize machine learning models in production.
Skills
Experience with Google Cloud Platform (GCP)
Proficiency in Python
Knowledge of Kubernetes and containerization
Experience with CI/CD tools
Strong knowledge of DevOps principles
Tools
TensorFlow
PyTorch
Scikit-learn
Jenkins
CircleCI
GitLab
Job description
A technology solutions firm is seeking a Machine Learning Engineer to design, develop, and maintain machine learning pipelines on the Google Cloud Platform. This remote position requires a minimum of 7 years of overall experience and expertise in GCP, Python, and CI/CD practices. The ideal candidate will work closely with data scientists and DevOps teams. Strong collaboration skills are essential.