Senior ML/AI Engineer — GenAI & MLOps (Remote)

Lingaro Group Philippines

Manila

Hybrid

PHP 1,000,000 - 2,000,000

Full time

14 days+

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Benefits offered by this job

Remote/Office flexibility
Udemy learning platform
Certificates and training programs
Internal promotions and growth

Job summary

Lingaro Group Philippines is seeking a seasoned Data Engineer to implement ML models into production and design GenAI solutions. You will build data pipelines, apply MLOps practices, and collaborate with Data Science teams on scalable AI automation.

The role requires 5+ years in data engineering and 3+ years in production ML code, plus hands-on Databricks, Spark, and cloud experience. English fluency and strong teamwork are essential. Office or remote options available in a hybrid setup.

Qualifications

  • At least 5+ years of Data engineering experience, with last 3 years in data processing.
  • At least 5+ years of production-ready Python coding (microservices, APIs).
  • At least 3+ years of production-ready ML code development.
  • At least 1+ years of GenAI experience (ChatGPT, Gemini, RAGs).
  • Practical experience in MLOps/LLMOps tools like AzureML/AzureAI.
  • Practical experience with Databricks and Spark in Big Data platforms.
  • Good understanding of Cloud concepts (Azure/GCP) and data domains. English fluency.

Skills

Data engineering
Python
ML/AI concepts
MLOps/LLMOps
Databricks
Spark/PySpark
Cloud (Azure/GCP)
CI/CD
Docker/Kubernetes
English fluency

Tools

Databricks
GitHub Actions
Azure DevOps
Docker
Kubernetes

Job description

Lingaro Group Philippines is seeking a seasoned Data Engineer to implement ML models into production and design GenAI solutions. You will build data pipelines, apply MLOps practices, and collaborate with Data Science teams on scalable AI automation.

The role requires 5+ years in data engineering and 3+ years in production ML code, plus hands-on Databricks, Spark, and cloud experience. English fluency and strong teamwork are essential. Office or remote options available in a hybrid setup.

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