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Machine Learning Engineer
3 weeks ago
About Our Client
Client helps clients put customers first. Their work leads to solutions that help you stay relevant and thrive in an evolving, digital world.
Job Description
Responsibilities:Design and implement machine learning applications and solutions using GCP tools such as Vertex AICollaborate with data scientists and data engineers to build robust data pipelines and machine learning models.Optimize data storage and processing architectures for machine learning purposes using Google Cloud services like Dataflow and Pub/Sub.Deploy machine learning algorithms into production using containers and microservices on GCP's Kubernetes Engine or Cloud Run.Monitor, maintain, and update models in production to ensure performance and accuracy.Conduct A/B tests and ongoing validation of models to ensure effectiveness.Utilize GCP's security and privacy features to ensure compliance with data governance and privacy standards.Write clean, maintainable code, and advocate for best practices in machine learning engineering.
The Successful Applicant
Required Skills and Qualifications:Proficient in Python, with a solid foundation in machine learning libraries and frameworks like TensorFlow, PyTorch, Scikit-Learn, Flask,FastAPI etc..Experience with Google Cloud Platform services, such as Vertex AI, GKE, Dataflow, Big Query, Cloud SQL etc..Strong understanding of data structures, data modelling, and software architecture.Practical knowledge of container technologies such as Docker and Kubernetes.Excellent problem-solving skills, ability to work independently, and manage multiple projects with various priorities.Strong communication and teamwork skills.
Preferred Qualifications:Professional certification in Google Cloud data engineering or machine learning.Experience in deploying machine learning solutions at scale.Background in statistics, mathematics, or a related field.
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