What are the responsibilities and job description for the Google Cloud Data & AI Engineer, Associate position at Jobright.ai?
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Job Summary:
Slalom Consulting is a business and technology consulting firm that designs and builds strategies and systems to help its clients. The Google Cloud Data & AI Engineer will collaborate with cross-functional teams to design and implement data and AI solutions using Google Cloud services, while also providing technical leadership and mentoring team members.
Responsibilities:
• Design, build, and operationalize large-scale enterprise data and AI solutions using Google Cloud services such as BigQuery, Vertex AI, Dataflow, Cloud Storage, Pub/Sub and more.
• Implement cloud-based data solutions for data ingestion, transformation, and storage; and AI solutions for model development, deployment, and monitoring, ensuring both areas meet performance, scalability, and compliance needs.
• Develop and maintain comprehensive architecture plans for data and AI solutions, ensuring they are optimized for both data processing and AI model training within the Google Cloud ecosystem.
• Provide technical leadership and guidance on Google Cloud best practices for data engineering (e.g., ETL pipelines, data pipelines) and AI engineering (e.g., model deployment, MLOps).
• Conduct assessments of current data architectures and AI workflows, and develop strategies for modernizing, migrating, or enhancing data systems and AI models within Google Cloud.
• Stay current with emerging Google Cloud data and AI technologies, such as BigQuery ML, AutoML, and Vertex AI, and lead efforts to integrate new innovations into solutions for clients.
• Mentor and develop team members to enhance their skills in Google Cloud data and AI technologies, while providing leadership and training on both data pipeline optimization and AI/ML best practices.
Qualifications:
Required:
• Proven experience as a Cloud Data and AI Engineer or similar role, with hands-on experience in Google Cloud tools and services (e.g., BigQuery, Vertex AI, Dataflow, Cloud Storage, Pub/Sub, etc.).
• Strong knowledge of data engineering concepts, such as ETL processes, data warehousing, data modeling, and data governance.
• Proficiency in AI engineering, including experience with machine learning models, model training, and MLOps pipelines using tools like Vertex AI, BigQuery ML, and AutoML.
• Strong problem-solving and decision-making skills, particularly with large-scale data systems and AI model deployment.
• Strong communication and collaboration skills to work with cross-functional teams, including data scientists, business stakeholders, and IT teams, bridging data engineering and AI efforts.
• Experience with agile methodologies and project management tools in the context of Google Cloud data and AI projects.
• Ability to work in a fast-paced environment, managing multiple Google Cloud data and AI engineering projects simultaneously.
• Knowledge of security and compliance best practices as they relate to data and AI solutions on Google Cloud.
• Google Cloud certifications (e.g., Professional Data Engineer, Professional Database Engineer, Professional Machine Learning Engineer) or willingness to obtain certification within a defined timeframe.
Company:
Slalom Consulting is a business and technology consulting firm that designs and builds strategies and systems to help its clients Founded in 2001, the company is headquartered in Seattle, Washington, USA, with a team of 10001 employees. The company is currently Late Stage. Slalom has a track record of offering H1B sponsorships.
