GenAI Engineer — Production‑Ready AI Solutions

Infosys

Richardson (TX)

Vor Ort

USD 110.000 - 165.000

Vollzeit

vor 24 Stunden
Sei unter den ersten Bewerbenden

Eine vollständige Bewerbung in einer Minute

Maßgeschneiderter Lebenslauf und Anschreiben – versandbereit.

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Benefits dieser Stelle

Health insurance
Disability coverage
401(k) plan
Paid holidays

Zusammenfassung

Infosys in Richardson, TX seeks a Data Science Consultant 2 to deliver scalable analytics solutions. You will develop data prep tasks, build models (forecasting, LLM-based), and deploy production-ready solutions, while guiding teammates in best practices and governance.

You'll work with Azure OpenAI, Lang Chain and related tools to create enterprise AI apps, contributing to IP assets and training initiatives within a collaborative team.

Qualifikationen

  • Experience building enterprise GenAI apps with orchestration frameworks.
  • Experience with Azure OpenAI / OpenAI platforms and APIs.
  • Production-grade APIs and microservices with FastAPI, Docker and Kubernetes.
  • LLMOps practices including observability, guardrails and governance.
  • Ability to drive technical decisions and collaborate with teams.

Aufgaben

  • Develop data preparation tasks, and ensure data readiness for modeling.
  • Design, deploy, and monitor models in production with scalable solutions.
  • Collaborate with stakeholders to refine requirements and guide implementation.
  • Contribute to analytics training, templates and knowledge sharing.

Kenntnisse

GenAI dev
Lang Chain
LLMOps
Azure OpenAI
FastAPI
Docker
Kubernetes
Code reviews
Collaboration

Ausbildung

Bachelor's degree

Jobbeschreibung

Infosys in Richardson, TX seeks a Data Science Consultant 2 to deliver scalable analytics solutions. You will develop data prep tasks, build models (forecasting, LLM-based), and deploy production-ready solutions, while guiding teammates in best practices and governance.

You'll work with Azure OpenAI, Lang Chain and related tools to create enterprise AI apps, contributing to IP assets and training initiatives within a collaborative team.

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