Senior GCP Engineer with Vertex AI and MLOps - Remote (US)
Senior GCP Engineer with Vertex AI and MLOps - Remote (US)
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1 Vacancy
Job Description
- Senior GCP engineer with atleast 7 years on project experience.
- Worked with Vertex AI and ML/Ops.
- Can work independently with the data science team.
- Overall Communication needs to be good.
- As a Sr. Data Engineer you will have the opportunity to lead the development of innovative data solutions enabling the effective use of data across the organization.
- You will be responsible for designing building and maintaining robust data pipelines and platforms to meet business objectives focusing on data as a strategic asset.
- A strong emphasis will be placed on expertise in GCP Vertex AI and advanced feature engineering techniques.
Key Responsibilities:
- Provide Technical Leadership
- Build and Maintain Data Pipelines: Design build and maintain scalable efficient and reliable data pipelines to support data ingestion transformation and integration across diverse sources and destinations using tools such as Kafka Databricks and similar toolsets.
- Drive Digital Innovation: Leverage innovative technologies and approaches to modernize and extend core data assets including SQL-based NoSQL-based cloud-based and real-time streaming data platforms.
- Implement Feature Engineering: Develop and manage feature engineering pipelines for machine learning workflows utilizing tools like Vertex AI BigQuery ML and custom Python libraries.
- Implement Automated Testing: Design and implement automated unit integration and performance testing frameworks to ensure data quality reliability and compliance with organizational standards.
- Optimize Data Workflows
- Mentor Team Members
- Draft and Review Documentation: Draft and review architectural diagrams interface specifications and other design documents to ensure clear communication of data solutions and technical requirements.
- Cost/Benefit Analysis: Present opportunities with cost/benefit analysis to leadership guiding sound architectural decisions for scalable and efficient data solutions
Employment Type
Full-time
