Associate Director/Director-AI and Data Science

2 months ago

Bengaluru, India EdgeVerve Full time

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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