Machine Learning Engineer
Skills
Google Cloud PlatformInfrastructureKubernetesMachine LearningPythonTerraform
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- 9+ years of professional experience
- Strong knowledge of Google Cloud Platform and Python
- Experience with TensorFlow PyTorch and scikit-learn
- Familiarity with DevOps tools like CI/CD pipelines and Terraform
- Expertise in containerization technologies like Docker and Kubernetes
- Strong problem-solving and communication skills.
Nice to have
- GCP expertise
- Apache Spark
- Hadoop
Day to day
- Design and implement machine learning infrastructure
- Work collaboratively with cross-functional teams
- Develop and optimize machine learning models.
- Ensure high performance of ML systems through effective deployment solutions.