Data/Machine Learning Engineer - Senior

Overview 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! 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 Stay informed and continuously learn emerging methodologies in data engineering, MLOps and LLM operations Requirements 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 Pluses 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. Job Details Seniority level: Not Applicable Employment type: Full-time Job function: Engineering and Information Technology Industries: Telecommunications J-18808-Ljbffr

Location: Curitiba, Paraná, BR

Posted Date: 9/11/2025