ML Engineer

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 clients expectations and add value to business.

Do

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 products requirements

Review the used case and see the latest AI that can be used in products 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 products 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

Deliver
No.Performance ParameterMeasure1.Continuous technical project management & deliveryAdoption of new technologies, IP creation, MVP creation, Number of patents filed, Research papers created2.Client CentricityNo. of automation done, On-Time Delivery, cost of delivery, optimal resource allocation3.Capability Building & Team Management% trained on new age skills, Team attrition %, Number of webinars conducted (internal/external)