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Lead Machine Learning Engineer
Machine Learning Engineer
As a Lead Machine Learning Engineer at Wipro, you will be responsible for developing minimum viable products (MVP) and comprehensive AI solutions that meet client expectations. Your role will involve managing product development using modern AI techniques, maintaining client relationships, and leading a team through talent and performance management.
About the role
Role Purpose
The purpose of this role is to develop minimum viable product (MVP) and comprehensive AI solutions that meet and exceed client's expectations and add value to business.
Responsibilities
Manage the product/ solution development using the desired AI techniques
- Lead development and implementation of custom solutions through thoughtful use of modern AI technology
- Review and evaluate the use cases and decide whether a product can be developed to add business value
- Create the overall product development strategy and integrating with the larger interfaces
- Create AI models and framework and implement them to cater to a business problem
- Draft the desired user Interface and create AI models as per business problem
- Analyze technology environment and client requirements to define product solutions using AI framework/ architecture
- Implement the necessary security features as per product's requirements
- Review the used case and see the latest AI that can be used in product's development
- Identify problem areas and perform root cause analysis and provide relevant solutions to the problem
- Tracks industry and application trends and relates these to planning current and future AI needs
- Create and delegate work plans to the programming team for product development
- Interact with Holmes advisory board for knowledge sharing and best practices
Responsible for developing and maintaining client relationships with the key strategic partners and decision makers
- Drive discussions and provide consultation around product design as per customer needs
- Participate in client interactions and gather insights regarding product development
- Interact with vertical delivery and business teams and provide and correct responses to RFP/ client requirements
- Assist in product's demonstration and receive feedback from the client
- Design presentations for seminars, meetings and enclave primarily focused over product
Team Management
Resourcing
- Forecast talent requirements as per the current and future business needs
- Hire adequate and right resources for the team
Talent Management
- Ensure adequate onboarding and training for the team members to enhance capability & effectiveness
- Build an internal talent pool and ensure their career progression within the organization
- Manage team attrition
- Drive diversity in leadership positions
Performance Management
- Set goals for the team, conduct timely performance reviews and provide constructive feedback to own direct reports
- Ensure that the Performance Nxt is followed for the entire team
Employee Satisfaction and Engagement
- Lead and drive engagement initiatives for the team
- Track team satisfaction scores and identify initiatives to build engagement within the team
Deliverables
- Continuous technical project management & delivery: Adoption of new technologies, IP creation, MVP creation, Number of patents filed, Research papers created
- Client Centricity: No. of automation done, On-Time Delivery, cost of delivery, optimal resource allocation
- Capability Building & Team Management: % trained on new age skills, Team attrition %, Number of webinars conducted (internal/external)