Architect - Artificial Intelligence/Machine Learning - IT

AI/ ML Architect

1. AI platform Roadmap vis-a-vis Business vision/goals/initiatives

2. Ideas & insights into newer AI-powered business models,

3. Ideas for new frameworks/features which needs to be developed

4. AI algorithms, research & related roadmap

5. Technologies & related roadmap

6. AI platform/products architecture/design/implementation vis-a-vis cloud AI services

7. AI governance (ethical AI) and related processes

8. AI infrastructure vis-a-vis cloud AI services

9. AI/ML models quality assurance strategy

10. AI/ML models continuous delivery/deployment strategies

11. Communication with customers/partners/internal account teams, deployment and GTM teams

12. Niche Hiring/Training/Mentoring of the platform teams

13. Platform security guidelines and enforcement; expertise in handling platform security will be a key

14. Platform standardization.

- BTECH/MTECH in computer science with at least 8 yrs of hands on AI/ML related technology expertise, with 15+ yrs overall experience.

1. Should have done architecture for at least 2 products or platform in the past;

2. should have played a key role in architecting, designing and deployment of the platform/product.

3. Machine/Deep Learning - machine learning algorithms and platforms, neural network

4. Expertise to product/platform security is a key requirement

5. AI solutions - Virtual Agents, Robotic Process Automation, intelligent case processing, Video Analytics, Unique Identity/ biometrics, inference engines, stream monitoring, intelligent search, ontologies/knowledge representations

6. Language - Natural Language Processing, machine translation, emotion detection, language detection, classification

7. Vision - computer vision, object recognition/tracking, face/gender/age/emotion recognition, OCR/handwriting recognition

8. Sound - audio processing, Speech To Text, speech recognition, text to speech, emotion detection, language detection, sound recognition, gender/age detection, speaker detection

9. Knowledge and experience in some of the key AI platform will be added advantage, e.g. IBM Watson, Microsoft Azure, Google Api.Ai, Facebook Wit.Ai, Chatbots using Microsoft Bot Framework

10. Knowledge and experience of key machine learning and deep learning framework, e.g. Tensorflow, Caffe, CNTK, commercial technologies/platforms, etc

11. Experience in working at major Technology Consulting firms orAI Technology firms (product companies)

12. Leader with a skills to manage various stakeholders and with an attitude of getting things executed in timely manner.