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Lingarogroup2mo ago

ML/AI Engineer

MexicoMexicoRemoteFull-timemid
Data ScienceOtherMachine Learning EngineerData
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Quick Summary

Overview

The person we are looking for will become part of Data Science and AI Competency Center working in AI Engineering team. The key duties are: Design, deliver and scale GenAI solutions Practical and innovative implementations of LLM/ML/AI automation, for scale and efficiency Working with Data…

Technical Tools
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  • The person we are looking for will become part of Data Science and AI Competency Center working in AI Engineering team. The key duties are:  
  • Design, deliver and scale GenAI solutions  
  • Practical and innovative implementations of LLM/ML/AI automation, for scale and efficiency 
  • Working with Data Science teams to implement AI Agents and Machine Learning models into production 
  • Design, delivery and management of industrialized processing pipelines 
  • Implementing AI /MLOps/LLMOps frameworks and supporting Data Science teams in best practices 
  • Gathering and applying knowledge on modern techniques, tools and frameworks in the area of ML Architecture and Operations 
  • Defining and implementing best practices in ML models life cycle and ML operations/LLM operations 
  • Gathering technical requirements & estimating planned work 
  • Presenting solutions, concepts and results to internal and external clients 
  • Creating technical documentation

  • At least 4+ years of Data engineering experience with last 1 year-experience in building Data processing  
  • At least 4+ years of experience in production-ready Python code development (e.g., microservices, APIs, etc.) 
  • At least 1+ years of experience with GenAI (various LLM models, agents, RAGs, prompt engineering, MCP, specification-driven-development) 
  • At least 2+ years of experience in production-ready ML-related code development 
  • Additionally for all levels: 
  • Good understanding of ML/AI concepts: types of algorithms, machine learning frameworks, model efficiency metrics, model life-cycle, AI architectures 
  • Good understanding of Cloud concepts and architectures, as well as working knowledge with selected cloud services, preferably Azure or GCP 
  • Experience in designing and implementing data pipelines 
  • Good communication skills 
  • Ability to work in a team and support others 
  • Taking responsibility for tasks and deliverables 
  • Great problem-solving skills and critical thinking 
  • Fluency in written and spoken English. 
  • Nice to have skills & knowledge:  
  • Experience with LangGraph, FastAPI, CosmoDB, Redis, SpyGlass, Kubernetes 
  • Experience in designing, programming ML algorithms, and data processing pipelines using Python 
  • Experience in at least one of following domains: Data Warehouse, Data Lake, Data Integration, Data Governance, Machine Learning, Deep Learning, MLOps 
  • Practical experience in MLOps/LLMOps tools like AzureML/AzureAI (or GCP equivalents) 
  • Practical experience with Databricks 
  • Practical experience in Spark/PySpark and Hive within Big Data Platforms like Databricks, EMR or similar 
  • Good understanding of CI/CD and DevOps concepts, and experience in working with selected tools (preferably GitHub Actions, GitLab, or Azure DevOps) 
  • Experience in productizing ML solutions using technologies like Spark/Databricks or Docker/Kubernetes. 

    • Location & Eligibility

    Where is the job
    Mexico
    Remote within one country
    Who can apply
    MX
    Listed under
    Mexico

    Listing Details

    Posted
    March 10, 2026
    First seen
    March 26, 2026
    Last seen
    May 12, 2026

    Posting Health

    Days active
    47
    Repost count
    0
    Trust Level
    32%
    Scored at
    May 13, 2026

    Signal breakdown

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