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    Associate Director/Director-AI and Data Science - Bengaluru, India - EdgeVerve

    EdgeVerve
    EdgeVerve Bengaluru, India

    Found in: Appcast Linkedin IN C2 - 1 day ago

    Default job background
    Accounting / Finance
    Description

    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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