Senior Data/ML Engineer

Job not on LinkedIn

October 21

Apply Now

Receive Emails with Similar Jobs

IDT BY INDET GROUP

WebsiteLinkedInAll Job Openings

Telecommunications • Finance • B2B

IDT BY INDET GROUP is a global company that develops communication and payment services, aiming to unite families and grow businesses worldwide. Founded in 1990, IDT has grown to become the third-largest voice carrier with operations in over 20 countries and an annual revenue of $1. 5 billion. The company is known for its variety of communication tools and financial services, including its flagship brand BOSS Revolution, which offers international calling, mobile top-up, and money transfer services. IDT also provides cloud-based VoIP solutions through Net2Phone, as well as sales management systems and POS equipment for small and medium-sized businesses via National Retail Solutions. Additionally, IDT Express offers voice termination, DIDs, and SMS services globally, while Awards2Go provides custom prepaid Visa cards. Based in Newark, New Jersey, IDT is committed to innovation and quality, serving a diverse, multicultural community.

201 - 500 employees

📡 Telecommunications

💸 Finance

🤝 B2B

📋 Description

• This is a full-time work from home opportunity for a star Data/ML Engineer from LATAM. • IDT(www.idt.net) 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 warehouse, LLM-driven applications, and AI-based BI. • If you're looking for a company that will give you the maximum flexibility in choosing a location to work, this opportunity is for you!

🎯 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 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.

🏖️ Benefits

• Please attach CV in English. • The interview process will be conducted in English. • Only accepting applicants from LATAM.