Python Application Developer
Published date: 2024/01/10
- Location: Bengaluru, Karnataka, India
Overview:
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
Contribute to development solutions, proof of concepts aligned tokey offerings to enable solution led sales
Collaborate with different colleges and institutes for researchinitiatives 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
Team Management
Talent Management
Support on boarding and training to enhance capability &effectiveness
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 - 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
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
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
Contribute to development solutions, proof of concepts aligned tokey offerings to enable solution led sales
Collaborate with different colleges and institutes for researchinitiatives 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
Team Management
Talent Management
Support on boarding and training to enhance capability &effectiveness
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 - 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
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
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