[Remote] Senior Data/ML Engineer

Note: The job is a remote job and is open to candidates in USA. IDT 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.ResponsibilitiesDesign, develop, and maintain scalable data pipelines to support ingestion, transformation, and delivery into centralized feature stores, model-training workflows, and real-time inference servicesBuild and optimize workflows for extracting, storing, and retrieving semantic representations of unstructured data to enable advanced search and retrieval patternsArchitect and implement lightweight analytics and dashboarding solutions that deliver natural language query experience and AI-backed insightsDefine and execute processes for managing prompt engineering techniques, orchestration flows, and model fine-tuning routines to power conversational interfacesOversee vector data stores and develop efficient indexing methodologies to support retrieval-augmented generation (RAG) workflowsPartner with data stakeholders to gather requirements for language-model initiatives and translate into scalable solutionsCreate and maintain comprehensive documentation for all data processes, workflows and model deployment routinesShould be willing to stay informed and learn emerging methodologies in data engineering, MLOps and LLM operationsSkills8+ years of experience as a Data Engineer with 2+ years focused on MLOpsExcellent English communication skillsEffective oral and written communication skills with BI team and user communityDemonstrated experience in utilizing python for data engineering tasks, including transformation, advanced data manipulation, and large-scale data processingDeep understanding of vector databases and RAG architectures, and how they drive semantic retrieval workflowsSkilled at integrating open-source LLM frameworks into data engineering workflows for end-to-end model training, customization, and scalable inferenceExperience with cloud platforms like AWS or Azure Machine Learning for managed LLM deploymentsHands-on experience with big data technologies including Apache Spark, Hadoop, and Kafka for distributed processing and real-time data ingestionExperience designing complex data pipelines extracting data from RDBMS, JSON, API and Flat file sourcesDemonstrated 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/RedshiftUnderstanding of software engineering principles and skills working on Unix/Linux/Windows Operating systems, and experience with Agile methodologiesProficiency in version control systems, with experience in managing code repositories, branching, merging, and collaborating within a distributed development environmentInterest in business operations and comprehensive understanding of how robust BI systems drive corporate profitability by enabling data-driven decision-making and strategic insightsExperience 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 workflowsFamiliarity 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 optimizationKnowledge of MLOps tooling and CI/CD pipelines to manage model versioning and automated deploymentsBenefitsThis is a full-time work from home opportunity for a star Data/ML Engineer from LATAM.Maximum flexibility in choosing a location to workCompany OverviewIDT Corporation enriches lives, providing communication, entertainment and financial services. It was founded in 1990, and is headquartered in Newark, New Jersey, USA, with a workforce of 1001-5000 employees. Its website is http://idt.net.