Generative AI Engineer

Tata Consultancy Services Limited; Ciudad de México; On-site; MXN 732,734 - 1,099,102; Full time

Job summary

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.

Qualifications

• 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.

Responsibilities

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

Skills

Python

Deep learning

NLP

Computer vision

MLOps

APIs

Tools

PyTorch

TensorFlow

Hugging Face Transformers

AWS

Azure

GCP

Job description

Direct message the job poster from Tata Consultancy Services

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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