AI/ML Engineer: Build Production-Ready GenAI Solutions

Accenture PLC

Ciudad de México

On-site

MXN 900,000 - 1,400,000

Full time

4 days ago
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Benefits offered by this job

Career development
Prestigious company
Innovative tools
Direct contact with experts worldwide
Cutting-edge technologies
Ongoing training
Team-based environment
International projects

Job summary

Accenture PLC in Mexico City is seeking an AI/ML Engineer to develop applications and systems that utilize artificial intelligence tools and cloud AI services, ensuring proper cloud or on-premises pipelines with production-ready quality.

You will work on generative AI models, including deep learning, neural networks, chatbots, and image processing, while acting as a subject matter expert and contributing in team discussions.

Qualifications

  • Intermediate proficiency in Large Language Model (LLM) Fine-Tuning is required.
  • Beginner proficiency in AI Agents is recommended.
  • Beginner proficiency in Database Architecture, Machine Learning (ML), and Foundation Models is suggested.

Responsibilities

  • Collaborate with team members to understand project requirements and translate them into effective artificial intelligence solutions.
  • Analyze and optimize model performance to ensure scalability and reliability in production environments.
  • Contribute to the continuous improvement of development processes and best practices within the team.
  • Identify opportunities to integrate new technologies and methodologies to enhance project outcomes.
  • Support knowledge sharing by documenting solutions and participating in technical discussions.

Skills

LLM Fine-Tuning
AI Agents
Database Architecture
Machine Learning
Foundation Models

Tools

Cloud AI Services

Job description

Accenture PLC in Mexico City is seeking an AI/ML Engineer to develop applications and systems that utilize artificial intelligence tools and cloud AI services, ensuring proper cloud or on-premises pipelines with production-ready quality.

You will work on generative AI models, including deep learning, neural networks, chatbots, and image processing, while acting as a subject matter expert and contributing in team discussions.

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