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Senior Data/ML Engineer

American telecommunications company founded in 1990, industry leader in prepaid communication and payment services.
Santiago, Santiago Metropolitan Region, ChileBrasília, Brasilia - Federal District, BrazilLima, Peru
Data
Senior Software Engineer
Remote
1,000 - 5,000 Employees
8+ years of experience
AI · Enterprise SaaS · Telecommunications

Description For Senior Data/ML Engineer

IDT Corporation, a NYSE-listed telecommunications leader with $1.5B+ revenue and 1300+ employees across 20+ countries, seeks a Senior Data/ML Engineer for their BI team. This remote position focuses on building end-to-end data pipelines, LLM-driven applications, and AI-based BI solutions. The role combines traditional data engineering with cutting-edge ML technologies, requiring expertise in Python, big data technologies, and cloud platforms. The ideal candidate will have 8+ years of experience, strong English skills, and deep knowledge of vector databases and RAG architectures. This position offers the flexibility to work from anywhere in LATAM while contributing to innovative data solutions that power business intelligence and AI applications. The role presents an opportunity to work with emerging technologies while driving data-driven decision-making in a global organization.

Last updated a month ago

Responsibilities For Senior Data/ML Engineer

  • Design, develop, and maintain scalable data pipelines
  • Build and optimize workflows for extracting, storing, and retrieving semantic representations
  • Architect and implement analytics and dashboarding solutions
  • Define and execute processes for managing prompt engineering techniques
  • Oversee vector data stores and develop efficient indexing methodologies
  • Partner with data stakeholders to gather requirements
  • Create and maintain comprehensive documentation
  • Stay informed and learn emerging methodologies in data engineering

Requirements For Senior Data/ML Engineer

Python
Kafka
  • 8+ years of experience as a Data Engineer with 2+ years focused on MLOps
  • Excellent English communication skills
  • Experience in utilizing python for data engineering tasks
  • Deep understanding of vector databases and RAG architectures
  • Experience with cloud platforms like AWS or Azure Machine Learning
  • Hands-on experience with big data technologies
  • Experience designing complex data pipelines
  • Advanced skills in SQL and PLSQL programming
  • Understanding of software engineering principles
  • Proficiency in version control systems

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