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Job Location: Hyderābād
Role Purpose
The purpose of the role is to define, architect and lead deliveryof machine learning and AI solutions.
Do
Demand generation through support in Solution development
Support Go-To-Market strategy
- Collaborate with sales, pre-sales &consulting team to assist increating solutions and propositions for proactive demand generation
- Contribute to development solutions, proof of concepts aligned tokey offerings to enable solution led sales
Collaborate with different colleges and institutes forrecruitment, joint research initiatives and provide data science courses
Revenue generation through Building & operationalizingMachine Learning, Deep Learning solutions
- Develop Machine Learning / Deep learning models for decisionaugmentation or for automation solutions
Collaborate with ML Engineers, Data engineers and IT to evaluateML deployment options
- Integrate model performance management tools into the currentbusiness infrastructure
Team Management
- Resourcing
- Support recruitment process to on-board right resources for the team
Talent Management- Support on boarding and training for the team members to enhancecapability & effectiveness
- Manage team attrition
Performance Management- Conduct timely performance reviews and provide constructive feedbackto own direct reports
- Be a role model to team for five habits
- Resourcing
- Ensure that the Performance Nxt is followed for the entire team
Employee Satisfaction and Engagement- Lead and drive engagement initiatives for the team
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, knowledgesharing
External
Clients
Deliver client projects and gain trust of client
Academia/ College/Universities
Collaborate on research initiatives, Trainings, Data ScienceCourses
Display
Lists the competencies required to perform this role effectively:
Functional Competencies/ Skill-
Domain/Industry Knowledge – Awareness and knowledge ofindustry 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 problemsolving in a complex environment – Foundational
- Leveraging Technology – In-depth knowledge of and mastery overtechnology domain that commands expert authority respect –Competent
- Research Orientation – Knowledge of research methods, relevanttheoretical concepts and implementations and experimentation ledapproach to drive results – Competent
-
Domain/Industry Knowledge – Awareness and knowledge ofindustry and functional knowledge on the area of work –Foundational
Competency Levels
Foundation
Knowledgeable about the competency requirements. Demonstrates (inparts) frequently with minimal support and guidance.
Competent
Consistently demonstrates the full range of the competencywithout guidance. Extends the competency to difficult and unknownsituations as well.
Expert
Applies the competency in all situations and is serves as a guideto others as well.
Master
Coaches others and builds organizational capability in thecompetency area. Serves as a key resource for that competency and isrecognised within the entire organization.
Behavioral Competencies
Innovation
Client centricity
Execution excellence
Passion for results
Team Management
Stakeholder Management
Deliver
No.
Performance Parameter
Measure
1.
Demand generation
Order booking
2.
Revenue generation through delivery
Timeliness, customer success stories, customer use cases
3.
Capability Building & Team Management
% trained on new skills, Team attrition %
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