Artificial Intelligence Engineer

1 week ago

Navi Mumbai, Maharashtra, India Domnic Lewis International Full time

Summary :

The primary purpose of the AI Engineer role is to design, develop, and implement AI solutions that align with company's vision to become an AI-driven company.

The AI Engineer will play a crucial role in transforming business operations and driving growth through the use of AI :

  • Design, develop, and implement AI solutions using technologies such as OpenAI, Azure OpenAI, Python.
  • Collaborate with various teams to understand their needs and translate them into AIdriven solutions.
  • Conduct live demo sessions to demonstrate the functionality and benefits of AI solutions.
  • Stay updated with the latest AI technologies and trends and incorporate them into our solutions.
  • Ensure the successful deployment and maintenance of AI solutions.
  • Troubleshoot and resolve any issues related to AI solutions.
  • Provide technical guidance and support to other team members.
  • The AI engineer can decide upon technical solutions in the AI domain in close cooperation with the other Solution Architects in this domain.
Core Competencies for the role :

  • Solution Architecture : The practice of defining and describing an architecture of a system delivered in context of a specific digital solution and as such it may encompass description of an entire system or only its specific parts.
  • Core Consulting Skills : Consults with others on problems and activities; collects information from a range of sources to assist and guide job activities; asks effective questions to obtain information to help him/her perform their job
  • Business Process Knowledge : Leverages knowledge of products/services and processes to meet customer needs and has the ability to appreciate the technical nature of the business, as well as how a particular function relates to that industry and the competition.
  • User Experience : Calls attention to issues that impact customer satisfaction; views things from the perspective of customers; encourages people to think about customers when making decisions
  • Taking responsibility : Takes accountability for delivering on commitments; owns mistakes and uses them as opportunities for learning and development; openly discusses his/her actions and their consequences both good and bad. Actively providing solicited and unsolicited advice verbally, not only in Solution Design documents/presentations.
  • Platform Integration : The knowledge, capability and understanding to use platforms and integrating applications and assuring the integration between systems so separate components function as one ecosystem
  • Data Analytics & Modelling : Draws accurate inferences from analyzing data; makes effective use of tools and technology to analyze data; understands and effectively uses modelling concepts to design logical interrelationships of data and has knowledge of how data is stored retrieved and represented.
  • Act as sparring partner for DevOps teams in refinement or team sessions.
  • Deliver Solution Directions for assigned User Stories, creating visual diagrams and proposals.
  • Taking ownership of structural challenges which cannot be solved operationally and require a more fundamental, structured, analytical approach
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