GenAI Architect

Key Responsibilities

• Architect And Design Machine Learning Solutions Using Tensorflow And Pytorch, Guiding The Development Process Through The Team To Ensure Product And Project Deliverables Align With Defined Scope And Standards.
• Act As A Subject Matter Expert (Sme) In Machine Learning, Providing Technical Guidance And Support To The Team And Stakeholders Throughout The Project Lifecycle.
• Ensure Continuous Knowledge Enhancement By Exploring And Integrating New Technologies And Methodologies In Machine Learning, Maintaining The Relevance And Quality Of Solutions Delivered To Clients.
• Train And Mentor Team Members In Machine Learning Concepts And Tools, Fostering A Skilled Workforce That Effectively Mitigates Delivery Risks And Enhances Project Outcomes.
• Gather Project Specifications And Deliver Tailored Machine Learning Solutions By Leveraging Domain Knowledge And Technical Expertise To Meet Client Requirements Effectively.
• Review And Evaluate Project Deliverables, Ensuring They Meet Established Quality Criteria And Align With Industry Best Practices In Machine Learning.
• Recommend And Implement Client Value Creation Initiatives By Applying Industry Best Practices In Machine Learning, Contributing To The Strategic Goals Of The Organization.

 
Skill Requirements

• Expert Proficiency In Machine Learning Frameworks Such As Tensorflow And Pytorch.
• Strong Programming Skills In Python, With A Good Understanding Of Associated Libraries And Tools.
• Solid Experience In Sql For Data Manipulation And Management.
• In-Depth Knowledge Of Machine Learning Algorithms And Model Development Processes.
• Familiarity With Data Preprocessing, Feature Engineering, And Model