Infosys-posted 11 months ago
Mid Level
Austin, TX
5,001-10,000 employees
Professional, Scientific, and Technical Services

Infosys is seeking a Lead AI/ML Engineer. This position will interface with key stakeholders and apply your technical proficiency across different stages of the Software Development Life Cycle including Requirements Elicitation, Application Architecture definition and Design. You will play an important role in creating the high level design artifacts. You will also deliver high quality code deliverables for a module, lead validation for all types of testing and support activities related to implementation, transition and warranty. You will be part of a learning culture, where teamwork and collaboration are encouraged, excellence is rewarded, and diversity is respected and valued.

  • Interface with key stakeholders and apply technical proficiency across different stages of the Software Development Life Cycle.
  • Create high level design artifacts.
  • Deliver high quality code deliverables for a module.
  • Lead validation for all types of testing.
  • Support activities related to implementation, transition, and warranty.
  • Candidate must be located within Austin, TX or be willing to travel to these locations.
  • Bachelor's degree or foreign equivalent required from an accredited institution, or three years of progressive experience in the specialty in lieu of every year of education.
  • At least 4 years of Information Technology experience.
  • Experience in AI/ML.
  • At least 4 years of experience in Java 8, HTML, CSS, JavaScript and strong coding skills.
  • At least 2 years of experience in Machine Learning.
  • At least 2 years of experience in REST Based Web Services.
  • At least 2 years of experience in Unix/Linux Usage.
  • At least 2 years of experience in GIT, Continuous Integration, Continuous Deployment.
  • At least 2 years of experience in Docker, AWS, Kubernetes.
  • At least 4 years of experience Project life cycle activities on development and maintenance projects.
  • Ability to work in team in diverse/multiple stakeholder environment.
  • Analytical skills.
  • Experience and desire to work in a Global delivery environment.
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