Data/Machine Learning Engineer

Data/Machine Learning Engineer - Senior at IDT Corporation. This full-time, remote opportunity is open to candidates in LATAM. IDT is an American telecommunications company founded in 1990 and headquartered in New Jersey. We are looking for a skilled Data/ML Engineer to join our BI team and take an active role in designing, building, and maintaining the end-to-end data pipeline, architecture and design that powers our data warehouse, LLM-driven applications, and AI-based BI. If you're looking for a company that offers flexibility in location, this opportunity is for you

• Design, develop, and maintain scalable data pipelines to support ingestion, transformation, and delivery into centralized feature stores, model-training workflows, and real-time inference services
  
• Build and optimize workflows for extracting, storing, and retrieving semantic representations of unstructured data to enable advanced search and retrieval patterns
  
• Architect and implement lightweight analytics and dashboarding solutions that deliver natural language query experience and AI-backed insights
  
• Define and execute processes for managing prompt engineering techniques, orchestration flows, and model fine-tuning routines to power conversational interfaces
  
• Oversee vector data stores and develop efficient indexing methodologies to support retrieval-augmented generation (RAG) workflows
  
• Partner with data stakeholders to gather requirements for language-model initiatives and translate into scalable solutions
  
• Create and maintain comprehensive documentation for all data processes, workflows and model deployment routines
  
• Stay informed and continuously learn emerging methodologies in data engineering, MLOps and LLM operations
  

• 8+ years of experience as a Data Engineer with 2+ years focused on MLOps
  
• Excellent English communication skills
  
• Effective oral and written communication skills with BI team and user community
  
• Demonstrated experience using Python for data engineering tasks, including transformation, advanced data manipulation, and large-scale data processing
  
• Deep understanding of vector databases and RAG architectures, and how they drive semantic retrieval workflows
  
• Skilled at integrating open-source LLM frameworks into data engineering workflows for end-to-end model training, customization, and scalable inference
  
• Experience with cloud platforms like AWS or Azure Machine Learning for managed LLM deployments
  
• Hands-on experience with big data technologies including Apache Spark, Hadoop, and Kafka for distributed processing and real-time data ingestion
  
• Experience designing complex data pipelines extracting data from RDBMS, JSON, API and Flat file sources
  
• Demonstrated skills in SQL and PLSQL programming, with advanced mastery in BI and data warehouse methodologies, along with hands-on experience in one or more relational database systems and cloud-based database services such as Snowflake/Redshift
  
• Understanding of software engineering principles and experience with Unix/Linux/Windows operating systems, and experience with Agile methodologies
  
• Proficiency in version control systems, with experience in managing code repositories, branching, merging, and collaborating within a distributed development environment
  
• Interest in business operations and understanding of how robust BI systems drive profitability by enabling data-driven decision-making and strategic insights
  

• Experience with vector databases such as DataStax AstraDB, and developing LLM-powered applications using LangChain and LlamaIndex, including prompt engineering, retrieval-augmented generation (RAG), and orchestration of intelligent workflows
  
• Familiarity with evaluating and integrating open-source LLM frameworks such as Hugging Face Transformers/LLaMA-4 across end-to-end workflows, including fine-tuning and inference optimization
  
• Knowledge of MLOps tooling and CI/CD pipelines to manage model versioning and automated deployments
  

Please attach CV in English.

The interview process will be conducted in English.

Only accepting applicants from LATAM.

• Seniority level: Not Applicable
  
• Employment type: Full-time
  
• Job function: Engineering and Information Technology
  
• Industries: Telecommunications