
Artificial Intelligence Model Architect
2 days ago
We seek a seasoned expert to lead the development and deployment of advanced AI and machine learning models.
- Key Responsibilities:
- Design, develop, and optimize traditional machine learning and deep learning models to deliver scalable production-grade solutions.
- Stay current with state-of-the-art research in machine learning and deep learning, applying theoretical knowledge to practical business applications.
- Develop sophisticated deployment strategies and robust monitoring frameworks to ensure continuous performance evaluation and iterative improvement.
- Collaborate with data engineers, AI solutions engineers, software developers, and business leaders to align technical decisions with strategic business outcomes.
- Guide junior engineers and promote high engineering standards within the team.
- Clearly document and communicate complex technical solutions to stakeholders across the organization.
Requirements:
- Background in Computer Science, Data Science, Statistics, Mathematics, or a related technical discipline.
- 4+ years of hands-on experience developing, deploying, and optimizing machine learning and deep learning models.
- Proficient in Python and libraries/frameworks such as TensorFlow, PyTorch, scikit-learn, and familiarity with cloud platforms like AWS, Azure, or GCP.
- Deep understanding of traditional machine learning techniques, statistical analysis, predictive modeling, and advanced data science concepts.
- Ability to implement and fine-tune complex neural network architectures.
- Demonstrated ability to address ambiguous problems strategically, creatively, and analytically.
- Ability to clearly articulate technical solutions to diverse stakeholders.
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