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AI Engineer (Information Technology)/ 769 days ago

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Job Preference:

Qualification:

Job Description:

· Data Preparation: Process and prepare training datasets to ensure high-quality input for model development.

· Experimentation: Design, run, and analyse experiments to validate hypotheses and improve model performance.

· Model Training: Conduct productive training sessions, evaluate the performance of models, and finalise production-ready models.

· Collaboration: Work closely with teams to integrate AI solutions into broader systems and applications.

· Innovation: Stay abreast of the latest developments in AI and contribute to the advancement of our technology stack.

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Skills:

Deep Learning Expertise: Proficient in Convolutional Neural Networks (CNNs), Graph Neural Networks (GNNs), and Transformers.

· Algorithm Knowledge: Good understanding of Geometric Algorithms and their applications in AI.

· Model Optimisation: Experience with various loss functions and optimisation techniques.

· Technical Skills: Exposure CUDA extensions and PyTorch for efficient model training and deployment.

· Problem-Solving: Excellent analytical skills with the ability to troubleshoot complex issues and develop creative solutions.

· Collaboration: Effective communicator with the ability to work both independently and as part of a team.