IDT Corporation · 1 month ago
Senior Data/ML Engineer
United States
Full-time
Remote
Senior Level
8+ years expIDT Corporation is an American telecommunications company that specializes in prepaid communication and payment services. They are seeking a skilled Data/ML Engineer to join their BI team, responsible for designing, building, and maintaining data pipelines and architecture that support AI-driven applications and business intelligence.
Telecom & CommunicationsDigital MediaFinancePaymentsRetailCommunications InfrastructureDigital EntertainmentFinancial ServicesTelecommunications
No H1B
Responsibilities
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
Should be willing to stay informed and learn emerging methodologies in data engineering, MLOps and LLM operations
Qualification
Required
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 in utilizing 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 Business Intelligence 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 skills working on 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 comprehensive understanding of how robust BI systems drive corporate profitability by enabling data-driven decision-making and strategic insights
Preferred
Experience with vector databases such as DataStax AstraDB, and developing LLM-powered applications using popular open source frameworks like 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
Benefits
This is a full-time work from home opportunity for a star Data/ML Engineer from LATAM.
Maximum flexibility in choosing a location to work
Company
IDT Corporation
IDT Corporation enriches lives, providing communication, entertainment and financial services.
1001-5000 employees
Funding
Current Stage
Public CompanyTotal Funding
unknown2001-02-26IPO
Leadership Team
S
Samuel Jonas
CEO & COO
David Wartell
Chief Technology Officer
Recent News
2026-06-04
legacy.thefly.com
2026-06-03
2026-05-12
Company data provided by crunchbase