Closing: Apr 30, 2024
1 day remainingPublished: Apr 15, 2024 (15 days ago)
Job Requirements
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Job Summary
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- A Degree in Computer Science, Artificial Intelligence, or a related field
- 5+ years of experience in building Machine Learning models and delivering high-quality solutions.
- Experience with cloud-based AI services (e.g., AWS, Azure, Google Cloud).
- Experience with Graph Machine Learning and applying methods for classification, prediction, and generation tasks.
- In-depth knowledge of generative AI methods and the ability to adapt them to custom datasets and domains.
- Proficiency in Python programming and familiarity with common software development tools.
- Understanding of AI behavioral techniques.
Responsibilities
- A Degree in Computer Science, Artificial Intelligence, or a related field
- 5+ years of experience in building Machine Learning models and delivering high-quality solutions.
- Experience with cloud-based AI services (e.g., AWS, Azure, Google Cloud).
- Experience with Graph Machine Learning and applying methods for classification, prediction, and generation tasks.
- In-depth knowledge of generative AI methods and the ability to adapt them to custom datasets and domains.
- Proficiency in Python programming and familiarity with common software development tools.
- Understanding of AI behavioral techniques.
- Lead the development and deployment of Machine Learning models and systems.
- Develop prototypes for future play experiences and integrate solutions into products.
- Design and build Generative AI pipelines and infrastructure on cloud platforms such as AWS, Google Cloud, and Azure
- Conduct extensive data analysis and prepare high-quality data for Generative AI models
- Evaluate and refine Generative AI models to achieve optimal performance and accuracy
- Collaborate with stakeholders to identify and implement AI solutions that drive value.
- Stay updated on the latest Machine Learning technologies and tools.
- Develop Python code and interfaces (APIs and services) for effective platform architecture and scalability.
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