Edgeverve - Generative AI/Artificial Intelligence Specialist - Data Science

4 weeks ago

Bangalore, India Edgeverve Full time

Job Description : a fully owned subsidiary of Infosys Limited, is a global leader in AI, Automation, and Analytics. Our technology empowers enterprises globally to bring life to their digital transformation initiatives.


We are not just building path-breaking products; we are building technology that will unlock hidden business value from your business processes, documents, and supply chain.

Our digital platforms help clients capitalize on the inherent power of a connected enterprise. We do this by amplifying the human potential, crafting connected customer journeys and exploiting the power of value networks.

Powered by native AI and automation capabilities, with security and scalability at the core, our digital platforms help enterprises discover & automate processes, digitize & structure unstructured data and unlock the power of the network by integrating enterprises.

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.

(ref:hirist.tech)

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