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Data & Machine Learning Engineer

1 month, 1 week ago
Mexico, Argentina, Bolivia, Brazil, Chile, El Salvador, Guatemala, Nicaragua, Panama, Paraguay, Peru, Colombia, Uruguay, Latin America, Puerto Rico
Full-time
Lead
Machine Learning Engineer
Software Development
Agile Apache Spark AWS CI/CD Hadoop JSON Kafka Linux MLOps Python REST API 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 8

Description

  • Design, develop, and maintain scalable data pipelines for ingestion, transformation, and delivery to feature stores, model-training workflows, and real-time inference services.
  • Build workflows for extracting, storing, and retrieving semantic representations of unstructured data to support advanced search and retrieval use cases.
  • Architect and implement lightweight analytics and dashboarding solutions with natural language query experiences 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 to support retrieval-augmented generation (RAG) 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 on 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, with strong oral and written communication abilities.
  • Demonstrated experience using Python for data engineering, transformation, advanced data manipulation, and large-scale data processing.
  • Deep understanding of vector databases and RAG architectures.
  • Experience integrating open-source LLM frameworks into data engineering workflows for model training, customization, and scalable inference.
  • 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 data ingestion.
  • Experience designing complex data pipelines from RDBMS, JSON, API, and flat file sources.
  • Strong SQL and PLSQL programming skills, with advanced BI and data warehouse experience and familiarity with relational databases and cloud data platforms such as Snowflake or Redshift.
  • Understanding of software engineering principles, Unix/Linux/Windows operating systems, and Agile methodologies.
  • Proficiency with version control systems and collaborative development workflows.
  • Interest in business operations and understanding of how BI systems support data-driven decision-making and profitability.
  • Preferred: Experience with vector databases such as DataStax AstraDB and LLM application frameworks like LangChain and 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.
  • CV must be submitted in English.
  • Interview process will be conducted in English.
  • Only applicants from LATAM are being accepted.
  • In-person verification is required.

Interested in this position?

Apply directly on the company website

Apply Now

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