Data Engineer - AIML

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.