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Lingarogroup1mo ago

ML/AI Engineer

MexicoMexicoRemoteFull-timemid
Data ScienceOtherMl/Ai Engineer
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Quick Summary

Key Responsibilities

Design, deliver and scale GenAI solutions Practical and innovative implementations of LLM/ML/AI automation,

Technical Tools
Data ScienceOtherMl/Ai Engineer
  • 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. 

    • Listing Details

    Posted
    March 10, 2026
    First seen
    March 26, 2026
    Last seen
    April 22, 2026

    Posting Health

    Days active
    27
    Repost count
    0
    Trust Level
    32%
    Scored at
    April 23, 2026

    Signal breakdown

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