
Ai Solution Architect
24 hours ago
Job Summary
**Key Responsibilities**:
Design and architect AI and GenAI solutions on GCP.
Create and develop comprehensive architecture diagrams for AI solutions.
Develop and deploy machine learning models, ensuring alignment with architectural designs.
Manage and preprocess large datasets to support training and evaluation of AI models.
Optimize existing AI solutions for performance and scalability.
Stay updated on the latest AI trends and GCP services.
Provide technical guidance and support to engineering teams.
Engage in technical discussions and presentations with clients to understand their needs and propose solutions.
**Qualifications**:
Bachelor's degree in Computer Science, Engineering, or related field.
Proven experience as a Solution Architect in AI/GenAI.
Strong knowledge of GCP services (e.g., Google AI Platform, BigQuery, VertexAI, Google Cloud Storage).
Proficiency in Python.
Familiarity with Generative AI models (e.g., GPT, LLama, DALL-E and others).
Experience with data technologies (e.g., SQL, NoSQL, data lakes, ETL processes).
Experience with data processing and machine learning frameworks (e.g., TensorFlow, PyTorch).
Excellent problem-solving and communication skills.
**Preferred Skills**:
Certification in Google Cloud Professional Data Engineer or Professional Cloud Architect.
Familiarity with DevOps practices and tools.
Experience with large-scale data processing.
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