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Senior Data/ML Engineer

4 hours, 30 minutes ago
Mexico, Argentina, Bolivia, Brazil, Chile, El Salvador, Guatemala, Nicaragua, Panama, Paraguay, Peru, Colombia, Uruguay, United States, Puerto Rico
Full-time
Senior
Machine Learning Engineer
Software Development
Agile Apache Spark AWS CI/CD Git Hadoop JSON Kafka Linux LLM MLOps Python Snowflake SQL Unix
Apply Now
IDT

IDT

IDT Corporation provides innovative communications and payment services, connecting families, friends, and businesses globally with pioneering technologies and solutions.

Diversified Telecommunication Services
1K-5K
Founded 1990
View All Jobs 10

Description

  • Design, develop, and maintain scalable data pipelines for ingestion, transformation, and delivery.
  • Build workflows for extracting, storing, and retrieving semantic representations of unstructured data.
  • Architect and implement lightweight analytics and dashboarding solutions with natural language query and AI-backed insights.
  • Define and execute prompt engineering, orchestration, and model fine-tuning processes for conversational interfaces.
  • Oversee vector data stores and develop indexing methods for retrieval-augmented generation workflows.
  • Partner with data stakeholders to gather requirements for language-model initiatives and translate them into scalable solutions.
  • Create and maintain documentation for data processes, workflows, and model deployment routines.
  • Stay current with emerging methodologies in data engineering, MLOps, and LLM operations.

Requirements

  • 8+ years of experience as a Data Engineer, including 2+ years focused on MLOps.
  • Excellent English communication skills, both written and verbal.
  • Strong Python experience for data engineering, transformation, advanced data manipulation, and large-scale processing.
  • Deep understanding of vector databases and RAG architectures.
  • Experience integrating open-source LLM frameworks into end-to-end training, customization, and scalable inference workflows.
  • Experience with cloud platforms such as AWS or Azure Machine Learning for managed LLM deployments.
  • Hands-on experience with Apache Spark, Hadoop, and Kafka for distributed processing and real-time ingestion.
  • Experience designing complex data pipelines from RDBMS, JSON, API, and flat file sources.
  • Strong SQL and PL/SQL skills, with BI and data warehouse expertise, and experience with relational databases and cloud databases such as Snowflake or Redshift.
  • Understanding of software engineering principles, Unix/Linux/Windows operating systems, Agile methodologies, and version control systems.
  • Interest in business operations and how BI systems support data-driven decision-making.
  • Preferred: Experience with DataStax AstraDB and frameworks such as LangChain or LlamaIndex.
  • Preferred: Familiarity with Hugging Face Transformers/LLaMA-4, including fine-tuning and inference optimization.
  • Preferred: Knowledge of MLOps tooling and CI/CD pipelines for model versioning and automated deployments.

Benefits

  • Full-time remote work-from-home opportunity.
  • Maximum flexibility in choosing a location within LATAM.
  • Work for an established public company with global scale and strong revenue base.
  • Opportunity to work on warehouse, LLM, and AI-based BI initiatives.

Interested in this position?

Apply directly on the company website

Apply Now

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