AI-Driven Data Engineer | GCP, Vertex AI & Kubernetes

Cognizant; Pachuca; Híbrido; MXN 600.000 - 900.000; Jornada completa

Descripción de la vacante

Cognizant is hiring a Data Engineer to support a client in a data-driven, AI-enabled environment. You will design cloud solutions on GCP, build and deploy models in Kubernetes, and implement GenAI features using LangChain.

The role emphasizes ML engineering best practices, collaboration with data scientists, and experience with Vertex AI, Dataflow, and Airflow in a microservices setup. Join Cognizant to drive innovative AI solutions.

Formación

• 8+ years of experience with a master’s degree or 10+ years of relevant experience in Software Engineering or ML/AI engineering.
• Proficiency in Python, FastAPI, GCP, Cloud Architecture, KFP, Vertex AI, and Kubernetes.
• Strong communication skills and the ability to collaborate effectively with cross-functional teams.

Responsabilidades

• Design robust cloud solutions in GCP that will service client intelligence and data solutions.
• Develop and deploy models and services in managed Kubernetes framework (Anthos).
• Develop and deploy batch predictions using Dataflow, KFP and Vertex AI.
• Develop and deploy GenAI models using LangChain.
• Ensure best practices in ML engineering, including code quality, testing, and documentation.

Conocimientos

Agile methodologies

Cross-functional collaboration

Communication

Educación

Master’s degree or higher in CS/ML

10+ years experience in Software/ML

Herramientas

Python

FastAPI

GCP

Kubernetes

Vertex AI

KFP

Airflow

Dataflow

BigQuery

LangChain

Descripción del empleo

Cognizant is hiring a Data Engineer to support a client in a data-driven, AI-enabled environment. You will design cloud solutions on GCP, build and deploy models in Kubernetes, and implement GenAI features using LangChain.

The role emphasizes ML engineering best practices, collaboration with data scientists, and experience with Vertex AI, Dataflow, and Airflow in a microservices setup. Join Cognizant to drive innovative AI solutions.