AI/ML Engineer — Lead Data-Driven Delivery

re-zoo-me

Sunnyvale, Northern (CA, KY)

Hybrid

USD 130,000 - 190,000

Full time

9 days ago
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Benefits offered by this job

Medical/Dental/Vision/Life Insurance
401(k) plan

Job summary

Infosys is seeking a Technology Consultant 2 to drive requirements elicitation, design discussions, and end-to-end software delivery across diverse teams. You will contribute to coding, testing, and production support while ensuring high quality and reliability of software applications.

The role emphasizes strong SDLC and Agile knowledge, stakeholder management, and hands-on coding experience, with opportunities for AI/ML focused programs and cross-functional collaboration.

Qualifications

  • Bachelor’s degree or foreign equivalent required.
  • Experience leading complex, cross-functional technical programs.
  • Strong knowledge of SDLC and Agile methodologies.

Responsibilities

  • Document assigned parts of business requirements.
  • Facilitate design discussions and document decisions.
  • Participate in coding and integrate features while maintaining stability.
  • Conduct code reviews and maintain repositories.
  • Implement test strategies, analyse results, and coordinate bug fixes.
  • Develop user training and support frameworks for new software.
  • Resolve production issues and propose preventive strategies.
  • Maintain detailed records of code, testing, and support activities to enrich knowledge base.
  • Lead and influence multiple teams without direct authority.

Skills

SDLC understanding
Agile methodologies
Stakeholder management
Executive communication
Cross-functional leadership
Problem-solving
Documentation skills
AI/ML roadmaps
Translation of requirements into tasks

Education

Bachelor’s degree or foreign equivalent

Tools

Jira
Confluence
Smartsheet
Asana

Job description

Infosys is seeking a Technology Consultant 2 to drive requirements elicitation, design discussions, and end-to-end software delivery across diverse teams. You will contribute to coding, testing, and production support while ensuring high quality and reliability of software applications.

The role emphasizes strong SDLC and Agile knowledge, stakeholder management, and hands-on coding experience, with opportunities for AI/ML focused programs and cross-functional collaboration.

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