Associate Director/Director-AI and Data Science
1 month ago
General Qualifications:
Advanced Degree: BS, Master's or Ph.D. in Computer Science, Data Science, Statistics, or related fields.
Programming Skills: Proficiency in Python, Go, or similar programming languages.
Data Handling: Experience with large-scale data processing and analysis.
Machine Learning Frameworks: Proficiency with TensorFlow, PyTorch, Keras, or similar frameworks.
Communication Skills: Strong ability to communicate technical concepts to non-technical stakeholders.
Specialized Skills for Each Area:
Transformers
Model Training: Skills in training and fine-tuning transformer models.
Architecture Understanding: Deep understanding of transformer architecture and its variants.
Prompt Engineering:
Creative Problem-Solving: Ability to design effective prompts for various AI models.
Model Interaction: Experience in interacting with models like GPT-3 for specific outputs.
AI Bias and Risks:
Ethical AI: Knowledge of ethical considerations and bias in AI.
Risk Assessment: Ability to assess and mitigate risks in AI systems.
Vision
Image Processing: Experience with image recognition, object detection, and computer vision techniques.
Deep Learning for Vision: Familiarity with CNNs, GANs, and other neural network architectures for image processing.
Natural Language Processing (NLP):
Language Models: Experience with modern NLP techniques and language models (e.g., BERT, GPT).
Text Processing: Skills in text mining, text classification, sentiment analysis.
NLP Libraries: Proficiency in NLP libraries like NLTK, SpaCy, Hugging Face Transformers.
PM and Collaboration
Collaboration Skills: Experience working in cross-functional teams.
Project Management: Familiarity with agile methodologies and project management tools.
Continuous Learning: Commitment to staying updated with the latest advancements in the field.
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