Data Engineer
2 months ago
Responsibilities:
- Design, develop, and deploy machine learning models using Vertex AI.
- Integrate Vertex AI with other Google Cloud services such as BigQuery, Cloud Storage, and Dataflow.
- Utilize AutoML capabilities to create high-quality models with minimal manual effort.
- Collaborate with cross-functional teams to ensure alignment with project goals and timelines.
- Develop AI models using Gemini AI technology
- Experience in Python
AIML Architect Responsibilities :
- Design and implement AI solutions using Google Cloud Vertex AI.
- Design and develop AI models using Gemini AI technology
- Collaborate with cross-functional teams to understand business requirements and translate them into scalable AI solutions.
- Develop and deploy machine learning models using Vertex AI and other Google Cloud services.
- Optimize AI models for performance and cost using Google Cloud's AI accelerators (e.g., GPUs, TPUs).
- Integrate Vertex AI with other Google Cloud services such as BigQuery, Cloud Storage, and Dataflow.
- Integrate Gemini AI with other tools and platforms to enhance functionality.
- Provide technical leadership and guidance on AI best practices and architecture.
- Conduct proof-of-concept projects to demonstrate the capabilities of Vertex AI.
- Ensure compliance and security of AI solutions in line with industry standards.
- Experience in Python
Qualifications :
- Bachelor's degree in Computer Science, Mathematics, or a related technical field.
- Experience with machine learning algorithms, statistical analysis, and data mining.
- Proficiency in Python and deep learning frameworks such as TensorFlow or PyTorch.
- Experience with cloud-based machine learning platforms, particularly Google Cloud Vertex AI.
- Knowledge of AI accelerators and performance profiling tools.
- Experience in designing and implementing AI solutions in a cloud environment.
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