Senior ML Engineer — GenAI, GCP Data Pipelines

Cognizant

Hidalgo

Presencial

MXN 700.000 - 1.200.000

Jornada completa

14 días+
Generador de candidaturas

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Ventajas ofrecidas por este puesto de trabajo

Training and development plans
Competitive benefits
Opportunity to work for leading global
Inclusive culture

Descripción de la vacante

Cognizant in Hidalgo, Mexico, is seeking a Data Engineer to join a fast-growing AI/ML team. You will design and implement cloud-native data solutions within a microservice architecture, focusing on GCP, Python, and Kubernetes.

The role requires hands-on work with Vertex AI, Dataflow, KFP, Airflow, LangChain, and Anthos, plus strong SDLC/MDLC practices and cross-functional collaboration with data scientists. 8+ years or a Master’s in software/ML is preferred.

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 the client intelligence and data solutions.
  • Develop and deploy models and services in managed Kubernetes Framework (Anthos).
  • Enhance and optimize the performance of containerized applications.
  • Develop and deploy batch predictions using Dataflow, KFP and Vertex AI.
  • Develop GenAI models using LangChain.
  • Collaborate with data scientists to train, guide, and support processes to ensure security and address vulnerabilities.
  • Implement and maintain ongoing prediction pipelines using Kubernetes, Airflow, KFP, and Vertex AI.
  • Ensure best practices in ML engineering, including code quality, testing, and documentation.
  • Foster a culture of innovation, continuous learning, and knowledge sharing within the team.
  • Understand and champion SDLC as well as the MDLC.

Conocimientos

Python
FastAPI
GCP
Cloud Architecture
KFP
Vertex AI
Kubernetes
LangChain
Agile methodologies

Educación

Master’s degree in Software/ML

Herramientas

KFP
Vertex AI
Dataflow
Airflow
Anthos
LangChain
Kubernetes

Descripción del empleo

Cognizant in Hidalgo, Mexico, is seeking a Data Engineer to join a fast-growing AI/ML team. You will design and implement cloud-native data solutions within a microservice architecture, focusing on GCP, Python, and Kubernetes.

The role requires hands-on work with Vertex AI, Dataflow, KFP, Airflow, LangChain, and Anthos, plus strong SDLC/MDLC practices and cross-functional collaboration with data scientists. 8+ years or a Master’s in software/ML is preferred.

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