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ML Engineer

IDT Corporation

Role overview

Qualifications

  • 5+ years of experience building scalable data/ML infrastructure
  • Proficiency in Python for data engineering tasks, including transformation and large-scale data processing
  • Hands-on experience with big data technologies including Apache Spark, Hadoop, and Kafka for distributed processing and real-time data ingestion
  • Deep understanding of vector databases and RAG architectures, and experience integrating open-source LLM frameworks into data engineering workflows for end-to-end model training and scalable inference

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

Key facts

Hard skills

Vector Data Python (Programming Language) Data Architecture Data Engineering Prompt Engineering Relational Database Management Systems PL/SQL Application Programming Interface (API) JSON Data Warehouse Architectures Query Languages Flat File Database Parallel Computing AWS Cloud Services Apache Kafka SQL (Programming Language) Scalability Snowflake (Data Warehouse) Computer Systems Machine Learning Apache Spark Process Management Data Collection Business Intelligence Azure Machine Learning Amazon Redshift Version Control Apache Hadoop Hugging Face (NLP Framework) Datastax CI/CD Communication Studies Stakeholder Communications Business Operations Agile Software Development

Other skills

  • Teamwork
  • Willingness To Learn
  • Problem Solving

About the company

IDT Corporation logo

IDT Corporation

Telecommunications

We know that you’ll have looked at quite a few company pages but IDT is different. We want people who want to make a big difference to our company with big ambitions. We’re a truly global team, with 1300 people working across all continents, apart from (at the moment!) Antarctica. But we are proud that despite our size, we encourage and support any in-house entrepreneurs to develop their ideas into business action. Our exciting growth plans make it a great time to join us. Our people are the reason for IDT’s passion for success. The IDT family is made up of people of all backgrounds, expertise, and interests, all with a relentless team spirit. We need people who share both our commitment to success and excitement about our journey. You won’t ever be bored or have to wonder how to fill your time. You’ll find the work challenging but you’ll get the support of a great team to help you beat those challenges. You will also be expected to support others as well as work hard, work well and work with a smile. If you want a join a company that will help you become your brilliant best and achieve amazing results, then you want to join IDT.

Company details

Company typeLarge
IndustryTelecommunications
Company size1001 - 5000

Links

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Job description

IDT (www.idt.net) is a communications and financial services company founded in 1990 and headquartered in New Jersey, US. Today it is an industry leader in prepaid communication and payment services and one of the world’s largest international voice carriers. We are listed on the NYSE, employ over 1500 people across 20+ countries, and have revenues in excess of $1.5 billion.

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!

 * The interview process will be conducted in English.


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.

    • Requirements:
  • Data & ML Engineer with a proven 5+ year history of building scalable infrastructure.
  • 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. 

    • Pluses:
  • 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.

    • What we offer:
  • Remote work opportunity!
  • B2B Employment ($, gross).
  • Stable job with long-term growth perspective.
  • Competitive salary with annual performance review.
  • Really good hardware.
  • An exciting and challenging job with talented people around.
  • Continuous learning and career growth opportunities.
  • Compensation for professional training, seminars, and conferences.
  • Referral program – get rewarded for helping us grow the team with talented people.
  • Company-supported English classes to enhance your professional growth.
    • Please attach CV in English.
    The interview process will be conducted in English.

    Only accepting applicants from INDIA

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    MR

    Marcus Rivera

    Chief Revenue Officer

    m.rivera@company.com
    linkedin.com/in/marcusrivera
    Unlocked after you apply
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