Direct message the job poster from Tata Consultancy Services Key Responsibilities
Design, build, and fine‑tune Generative AI models (e.g., GPT, LLa MA, 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 Py Torch, Tensor Flow,



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
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📌 Generative ai engineer (Ciudad de México)
🏢 Tata Consultancy Services
📍 Ciudad de México