AI Architect/Google Cloud Platform

Responsibilities:

• Design and implement scalable and secure AI architectures on GCP, leveraging a combination of cloud services and best practices.


• Lead the design and development of AI solutions that address specific business challenges, utilizing GCP AI services such as Vertex AI, BigQuery Client, Cloud AutoML, and TensorFlow.


• Collaborate with data engineers and data scientists to ensure that data is properly structured, cleansed, and prepared for AI model training.


• Oversee the training and deployment of AI models on GCP, ensuring high performance, accuracy, and reliability.


• Integrate AI solutions with existing systems and processes to automate workflows and improve efficiency.


• Continuously monitor and evaluate AI models in production, identifying and addressing performance bottlenecks and opportunities for optimization.


• Partner with cross-functional teams, including data scientists, software engineers, product managers, and business stakeholders, to ensure successful implementation and adoption of AI solutions.

Experience and Skills:

• Master's degree or equivalent experience in Computer Science, Artificial Intelligence, or a related field.


• 7+ years of hands-on, technical experience in AI/Client with a strong focus on cloud-based solutions.


• Hands-on experience with GCP AI services including Vertex AI, BigQuery Client, Cloud AutoML, and TensorFlow.


• Experience designing and implementing scalable AI architectures on GCP.


• Expertise with AI algorithms, including deep learning, and natural language processing.


• Strong programming skills in Python and proficiency with cloud-based AI frameworks and libraries.


• Familiarity with GCP data management tools and services, such as BigQuery, Cloud Storage, and Cloud Dataflow.


• Excellent communication and presentation skills, with the ability to explain complex technical concepts to non-technical stakeholders.


• Ability to work independently and as part of a team in a fast-paced, dynamic environment.