Edgeverve - Data Scientist

2 months ago

Bangalore, Karnataka, India Edgeverve Full time

Job Description :

EdgeVerve, 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.

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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