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Responsibilities
- Develop and implement machine learning models using Google Vertex AI & Python in an application of Conversational AI.
- Advance use of Natural Language Processing including the extensive use of Large Language Models for text analysis.
- Collaborate with cross-functional teams to understand business requirements and translate them into scalable and efficient AI solutions.
- Design, build, and deploy machine learning models on the Google Cloud Platform.
- Conduct thorough testing and validation to ensure the accuracy and reliability of the models.
- Optimize and fine-tune machine learning models for performance and efficiency.
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Stay updated on the latest advancements in machine learning and AI technologies.
Requirements
- Experience in Natural Language Processing including the use of Large Language Models and Generative Models.
- Prior experience with end-to-end design, development and testing of AI models in the domain of NLP.
- Hands-on experience with Google Vertex AI and other Google Cloud Platform services.
- Experience in conversational AI will be preferred.
- Strong programming skills in languages such as Python.
- Solid understanding of machine learning concepts and algorithms.
- Experience with model training, deployment, and monitoring.
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Ability to work collaboratively in a team and communicate effectively.
Preferred Qualifications
- Google Cloud Certified - AI Engineer.
- Experience with other machine learning frameworks, such as TensorFlow or PyTorch.
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Knowledge of cloud-based data storage and processing.
Education
- Bachelor's or master's degree in computer science, Engineering, or a related field.
