Role Purpose
The purpose of the role is to define, architect and lead delivery of machine learning and AI solutions.
Do
- Demand generation through support in Solution development
- Support Go-To-Market strategy
- Contribute to development solutions, proof of concepts aligned to key offerings to enable solution led sales
- Collaborate with different colleges and institutes for research initiatives and provide data science courses
- Support Go-To-Market strategy
- Revenue generation through Building & operationalizing Machine Learning, Deep Learning solutions
- Develop Machine Learning / Deep learning models for decision augmentation or for automation solutions
- Collaborate with ML Engineers, Data engineers and IT to evaluate ML deployment options
- Team Management
- Talent Management
- Support on boarding and training to enhance capability & effectiveness
- Talent Management
Stakeholder Interaction
| Stakeholder Type | Stakeholder Identification | Purpose of Interaction |
|
Internal | Practice Head/ Lead | Requirements & inputs to device ML solutions |
| Sales Team, Pre-Sales, Consulting | Support in defining AI/ML propositions to drive opportunities | |
| Talent Transformation Team, Competency Group | Plan and support delivery of Technical Trainings, knowledge sharing | |
| External | Clients | Deliver client projects and gain trust of client |
| Academia/ College/Universities | Collaborate on research initiatives, Trainings, Data Science Courses |
Display
Lists the competencies required to perform this role effectively:
- Functional Competencies/ Skill
- Domain/Industry Knowledge - Awareness and knowledge of industry and functional knowledge on the area of work - Foundational
- Market Intelligence - Understanding of the practice domain, overall market & competition and nuances of delivery in that domain - Foundational
- Systems Thinking - Understanding of the Wipro system (interrelatedness, interdependencies and boundaries) and perform problem solving in a complex environment - Foundational
- Leveraging Technology - In-depth knowledge of and mastery over technology domain that commands expert authority respect - Competent
- Research Orientation - Knowledge of research methods, relevant theoretical concepts and implementations and experimentation led approach to drive results - Foundational
| Competency Levels | |
| Foundation | Knowledgeable about the competency requirements. Demonstrates (in parts) frequently with minimal support and guidance. |
| Competent | Consistently demonstrates the full range of the competency without guidance. Extends the competency to difficult and unknown situations as well. |
| Expert | Applies the competency in all situations and is serves as a guide to others as well. |
| Master | Coaches others and builds organizational capability in the competency area. Serves as a key resource for that competency and is recognised within the entire organization. |
- Behavioral Competencies
- Innovation
- Client centricity
- Execution excellence
- Passion for results
Deliver
| No. | Performance Parameter | Measure |
| 1. | Demand generation | # PoC supported |
| 2. | Revenue generation through delivery | Timeliness, customer success stories, customer use cases |
| 3. | Capability Building & Team Management | # Skills acquired |
AI Cognitive