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AI/ML engineer

Yesterday Guadalajara, Mexico

MANDATORY TECHNOLOGIES
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- Python 4-6 years
- Machine Learning and AI frameworks 2-4 years
- Natural Language Processing (NLP) 2-4 years
- Large Language Models (LLMs) 2-4 years

MAIN EXPERIENCE REQUIRED
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- 6+ years of overall professional experience
- 4+ years of hands-on experience in AI/ML development
- Proven experience working with NLP and text data analysis
- Hands-on experience developing and integrating APIs for AI/ML solutions
- Experience working with LLM-based systems in real-world applications

MANDATORY SKILLS / REQUIREMENTS
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- Bilingual proficiency in Spanish and English (spoken and written)
- Strong proficiency in Python programming
- Solid understanding of machine learning and NLP concepts

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- Hands-on experience with:
* RAG architectures
* Vector databases
* LLM prompt engineering and optimization
* LLM evaluation techniques
- Experience deploying AI/ML solutions in production environments
- Familiarity with MLOps tools and best practices

DESIRED SKILLS, TECHNOLOGIES AND EXPERIENCE
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- Retrieval-Augmented Generation (RAG)
- Vector Databases
- API development and integration
- Cloud platforms (AWS, GCP, Azure)
- Experience with LLM monitoring and evaluation tools such as LangSmith
- Hands-on exposure to LLM deployment and orchestration libraries such as:
* LiteLLM
* LLM Guardrails
- Knowledge of CI/CD pipelines, model versioning, and deployment best practices
- Knowledge of or willingness to learn Kubernetes
- Experience working with cloud-native services on AWS, GCP, or Azure
- Understanding of scalable, secure, and production-grade ML system design

Client-provided location(s): Guadalajara, Mexico
Job ID: Infosys-146845BR
Employment Type: OTHER
Posted: 2026-04-14T18:40:41

Perks and Benefits

  • Health and Wellness

    • Health Insurance
    • Life Insurance
    • HSA
    • Short-Term Disability
  • Parental Benefits

    • Birth Parent or Maternity Leave
    • Non-Birth Parent or Paternity Leave
    • On-site/Nearby Childcare
  • Work Flexibility

    • Office Life and Perks

      • Commuter Benefits Program
    • Vacation and Time Off

      • Paid Vacation
      • Paid Holidays
      • Personal/Sick Days
      • Sabbatical
    • Financial and Retirement

      • 401(K)
      • Relocation Assistance
    • Professional Development

      • Learning and Development Stipend
    • Diversity and Inclusion

      • Employee Resource Groups (ERG)