{"schemaVersion":"jobsearcher.job.v1","id":"53f9d95f853718e987be3e8e","url":"https://jobsearcher.com/jobs/53f9d95f853718e987be3e8e","canonicalUrl":"https://jobsearcher.com/jobs/53f9d95f853718e987be3e8e","title":"Data & Machine Learning Engineer","description":"This is a full-time opportunity for a data/ML Engineer from LATAM. In-person verification will be conducted.\r\nIDT is an American telecommunications company founded in 1990 and headquartered in New Jersey. It is an industry leader in prepaid communication and payment services and one of the world's largest international voice carriers. The company is listed on the NYSE, employs over 1,300 people across 20+ countries, and has revenues in excess of $1.5 billion.\r\nWe 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 warehouse, LLM-driven applications, and AI-based BI.\r\nResponsibilities\r\nDesign, develop, and maintain scalable data pipelines to support ingestion, transformation, and delivery into centralized feature stores, model-training workflows, and real-time inference services.\r\nBuild and optimize workflows for extracting, storing, and retrieving semantic representations of unstructured data to enable advanced search and retrieval patterns.\r\nArchitect and implement lightweight analytics and dashboarding solutions that deliver natural language query experience and AI-backed insights.\r\nDefine and execute processes for managing prompt engineering techniques, orchestration flows, and model fine-tuning routines to power conversational interfaces.\r\nOversee vector data stores and develop efficient indexing methodologies to support retrieval-augmented generation (RAG) workflows.\r\nPartner with data stakeholders to gather requirements for language-model initiatives and translate them into scalable solutions.\r\nCreate and maintain comprehensive documentation for all data processes, workflows, and model deployment routines.\r\nStay informed and learn emerging methodologies in data engineering, MLOps, and LLM operations.\r\nRequirements\r\n8+ years of experience as a Data Engineer with 2+ years focused on MLOps.\r\nExcellent English communication skills.\r\nEffective oral and written communication skills with the BI team and user community.\r\nDemonstrated experience in utilizing Python for data engineering tasks, including transformation, advanced data manipulation, and large-scale data processing.\r\nDeep understanding of vector databases and RAG architectures, and how they drive semantic retrieval workflows.\r\nSkilled at integrating open-source LLM frameworks into data engineering workflows for end-to-end model training, customization, and scalable inference.\r\nExperience with cloud platforms like AWS or Azure Machine Learning for managed LLM deployments.\r\nHands-on experience with big data technologies including Apache Spark, Hadoop, and Kafka for distributed processing and real-time data ingestion.\r\nExperience designing complex data pipelines extracting data from RDBMS, JSON, API, and flat-file sources.\r\nDemonstrated skills in SQL and PL/SQL programming, with advanced mastery in Business Intelligence and data warehouse methodologies, and hands-on experience in one or more relational database systems and cloud-based database services such as Snowflake or Redshift.\r\nUnderstanding of software engineering principles and experience working on Unix/Linux/Windows operating systems, and experience with Agile methodologies.\r\nProficiency in version control systems, with experience in managing code repositories, branching, merging, and collaborating within a distributed development environment.\r\nInterest in business operations and comprehensive understanding of how robust BI systems drive corporate profitability by enabling data-driven decision-making and strategic insights.\r\nPluses\r\nExperience 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.\r\nFamiliarity with evaluating and integrating open-source LLM frameworks – such as Hugging Face Transformers or LLaMA-4 – across end-to-end workflows, including fine-tuning and inference optimization.\r\nKnowledge of MLOps tooling and CI/CD pipelines to manage model versioning and automated deployments.\r\nOnly accepting applicants from LATAM.\r\nJ-18808-Ljbffr","company":"Medium","rawCompany":"medium","city":"De Pere","state":"WI","isRemote":false,"isActive":false,"createdAt":"2026-07-16T01:48:02.295Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"518210","title":"Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services","slug":"computing-infrastructure-providers-data-processing-web-hosting-and-related-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Data & Machine Learning Engineer","description":"This is a full-time opportunity for a data/ML Engineer from LATAM. In-person verification will be conducted.\r\nIDT is an American telecommunications company founded in 1990 and headquartered in New Jersey. It is an industry leader in prepaid communication and payment services and one of the world's largest international voice carriers. The company is listed on the NYSE, employs over 1,300 people across 20+ countries, and has revenues in excess of $1.5 billion.\r\nWe 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 warehouse, LLM-driven applications, and AI-based BI.\r\nResponsibilities\r\nDesign, develop, and maintain scalable data pipelines to support ingestion, transformation, and delivery into centralized feature stores, model-training workflows, and real-time inference services.\r\nBuild and optimize workflows for extracting, storing, and retrieving semantic representations of unstructured data to enable advanced search and retrieval patterns.\r\nArchitect and implement lightweight analytics and dashboarding solutions that deliver natural language query experience and AI-backed insights.\r\nDefine and execute processes for managing prompt engineering techniques, orchestration flows, and model fine-tuning routines to power conversational interfaces.\r\nOversee vector data stores and develop efficient indexing methodologies to support retrieval-augmented generation (RAG) workflows.\r\nPartner with data stakeholders to gather requirements for language-model initiatives and translate them into scalable solutions.\r\nCreate and maintain comprehensive documentation for all data processes, workflows, and model deployment routines.\r\nStay informed and learn emerging methodologies in data engineering, MLOps, and LLM operations.\r\nRequirements\r\n8+ years of experience as a Data Engineer with 2+ years focused on MLOps.\r\nExcellent English communication skills.\r\nEffective oral and written communication skills with the BI team and user community.\r\nDemonstrated experience in utilizing Python for data engineering tasks, including transformation, advanced data manipulation, and large-scale data processing.\r\nDeep understanding of vector databases and RAG architectures, and how they drive semantic retrieval workflows.\r\nSkilled at integrating open-source LLM frameworks into data engineering workflows for end-to-end model training, customization, and scalable inference.\r\nExperience with cloud platforms like AWS or Azure Machine Learning for managed LLM deployments.\r\nHands-on experience with big data technologies including Apache Spark, Hadoop, and Kafka for distributed processing and real-time data ingestion.\r\nExperience designing complex data pipelines extracting data from RDBMS, JSON, API, and flat-file sources.\r\nDemonstrated skills in SQL and PL/SQL programming, with advanced mastery in Business Intelligence and data warehouse methodologies, and hands-on experience in one or more relational database systems and cloud-based database services such as Snowflake or Redshift.\r\nUnderstanding of software engineering principles and experience working on Unix/Linux/Windows operating systems, and experience with Agile methodologies.\r\nProficiency in version control systems, with experience in managing code repositories, branching, merging, and collaborating within a distributed development environment.\r\nInterest in business operations and comprehensive understanding of how robust BI systems drive corporate profitability by enabling data-driven decision-making and strategic insights.\r\nPluses\r\nExperience 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.\r\nFamiliarity with evaluating and integrating open-source LLM frameworks – such as Hugging Face Transformers or LLaMA-4 – across end-to-end workflows, including fine-tuning and inference optimization.\r\nKnowledge of MLOps tooling and CI/CD pipelines to manage model versioning and automated deployments.\r\nOnly accepting applicants from LATAM.\r\nJ-18808-Ljbffr","datePosted":"2026-07-16T01:48:02.295Z","dateModified":"2026-07-16T01:48:02.295Z","hiringOrganization":{"@type":"Organization","name":"Medium","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"De Pere","addressRegion":"WI","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"53f9d95f853718e987be3e8e"},"url":"https://jobsearcher.com/jobs/53f9d95f853718e987be3e8e"}}