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Cognitive Service and IBM AI Developer
Required Skills On Cognitive Services, IBM And Python
Natural Language Processing (NLP)
Intent recognition and entity extraction
NLP libraries: spaCy, Rasa NLU, NLTK, Transformers (Hugging Face)
Language model fine-tuning (optional for advanced bots)
Conversational Design
Dialogue flow design
Context management
Multi-turn conversation handling
Backend Development
Programming languages: Python, Node.js
Frameworks: IBM Watson/ Rasa/Botpress/Microsoft Bot Framework (self-hosted)
API development and integration (RESTful APIs)
Frontend & UI Integration
Web chat UIs (React, Angular, Vue)
Messaging platform integration (e.g., custom web chat, WhatsApp via Twilio, etc.)
Voice interface (optional): integration with speech-to-text and text-to-speech engines
Watson Assistant: Designing, training, and deploying conversational agents (chatbots and virtual assistants).
Watson Discovery: Implementing intelligent document search and insights extraction.
Watson Natural Language Understanding (NLU): Sentiment analysis, emotion detection, and entity extraction.
Watson Speech Services: Speech-to-text and text-to-speech integration.
Watson Knowledge Studio: Building custom machine learning models for domain-specific NLP.
Watson OpenScale: Monitoring AI model performance, fairness, and explainability.
Core Python: Data structures, OOP, exception handling.
API Integration: Consuming REST APIs (e.g., Azure SDKs).
Data Processing: Using pandas, NumPy, and json for data manipulation.
AI/ML Libraries: Familiarity with scikit-learn, transformers, or OpenAI SDKs.
Required Skills On Other Skills (Front End)
Component-Based Architecture: Building reusable functional components.
Hooks: useState, useEffect, useContext, and custom hooks.
State Management: Context API, Redux Toolkit, or Zustand.
API Integration: Fetching and displaying data from API services.
Soft Skills
Excellent Communication Skills
Team Player
Self-starter and highly motivated
Ability to handle high pressure and fast paced situations
Excellent presentation skills
Ability to work with globally distributed teams
Roles and Responsibilities:
Understand existing application architecture and solution design
Design individual components and develop the components
Work with other architects, leads, team members in an agile scrum environment
Hands on development
Design and develop applications that can be hosted on Azure cloud
Design and develop framework and core functionality
Identify the gaps and come up with working solutions
Understand enterprise application design framework and processes
Lead or Mentor junior and/or mid-level developers
Review code and establish best practices
Look out for latest technologies and match up with EY use case and solve business problems efficiently
Ability to look at the big picture
Proven experience in designing highly secured and scalable web applications on Azure cloud
Keep management up to date with the progress
Work under Agile design, development framework
Good hands on development experience required
EY | Building a better working world
EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.
Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.
EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.
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