ML Engineer

Job description:Job Description

Role PurposeThe 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. 

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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 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 

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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)

 

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