Generative AI Engineer

Tata Consultancy Services

Ciudad de México

Presencial

MXN 732.734 - 1.099.102

Jornada completa

14 días+

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Descripción de la vacante

A prominent IT services company is seeking a Generative AI Engineer in Mexico City. This role involves designing and optimizing AI models for diverse applications and requires proficiency in Python, ML frameworks, and cloud platforms. Ideal candidates have 3-5 years of experience in software development or machine learning, with a strong grasp of NLP and computer vision. The position is full-time, and benefits from a collaborative environment focusing on advanced AI solutions.

Formación

  • 3-5 years of experience in software development or applied machine learning.
  • Solid understanding of NLP, computer vision, or multimodal AI.
  • Experience with LLMs or generative models.

Responsabilidades

  • Design, build, and fine-tune Generative AI models.
  • Implement prompt engineering and model tuning.
  • Develop scalable APIs and backend systems.

Conocimientos

Python
Deep learning
NLP
Computer vision
MLOps
APIs

Herramientas

PyTorch
TensorFlow
Hugging Face Transformers
AWS
Azure
GCP

Descripción del empleo

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Key Responsibilities
  • Design, build, and fine‑tune Generative AI models (e.g., GPT, LLaMA, Stable Diffusion, etc.) for text, image, audio, or code generation.
  • Implement prompt engineering, model tuning, and RAG (Retrieval‑Augmented Generation) capabilities.
  • Develop scalable APIs and backend systems to integrate AI capabilities into production applications.
  • Collaborate with cross‑functional teams to define AI use cases and deliver end‑to‑end AI‑powered features.
  • Monitor and evaluate model performance, ensuring efficiency, reliability, and ethical AI practices.
  • Stay current with advances in deep learning, transformer architectures, and AI safety research.
  • Optimize model inference for cost and latency using techniques such as quantization.
Required Qualifications
  • 3-5 years of experience in software development or applied machine learning.
  • Proficiency in Python and frameworks such as PyTorch, TensorFlow, or Hugging Face Transformers.
  • Solid understanding of NLP, computer vision, or multimodal AI.
  • Experience with LLMs or generative models (e.g., text‑to‑image, text‑to‑text, or code generation).
  • Hands‑on experience with cloud platforms (AWS, Azure, or GCP) and MLOps tools.
  • Strong grasp of data preprocessing, model evaluation, and prompt optimization.
  • Familiarity with APIs, microservices, and CI/CD workflows.
Mode of Work

WFO

Office Location

Mexico City & Guadalajara

Seniority Level

Mid‑Senior level

Employment Type

Full‑time

Job Function

Information Technology

Industries

IT Services and IT Consulting

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