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IDT CorporationAI & Machine Learning 25d ago
ML Engineer (LLM, RAG & Data Pipelines)
Remote (India) / Pune / Bangalore
Full-time
Not Mentioned
Job Description
IDT Corporation, a global communications and financial services leader (NYSE listed, $1.5 Billion Revenue), is seeking a skilled Data/ML Engineer to join their Business Intelligence (BI) team. You will take an active role in designing the architecture that powers LLM-driven applications, AI-based BI, and enterprise data warehouses. This is a chance to build end-to-end pipelines for Retrieval-Augmented Generation (RAG) workflows and vector search.
Key Responsibilities
- LLM & RAG Pipelines: Oversee vector data stores and develop efficient indexing methodologies to support retrieval-augmented generation (RAG) workflows.
- Generative AI Ops: Define processes for prompt engineering, orchestration flows, and model fine-tuning to power conversational interfaces.
- Data Engineering: Design, develop, and maintain scalable data pipelines for ingestion, transformation, and delivery into centralized feature stores.
- Unstructured Data: Build workflows for extracting and storing semantic representations of unstructured data for advanced search.
- Analytics Architecture: Architect lightweight analytics solutions that deliver natural language query experiences and AI-backed insights.
Requirements
- Experience: 5+ years of history building scalable data/ML infrastructure.
- Core Tech: Demonstrated experience utilizing Python for large-scale data processing and transformation.
- AI Architecture: Deep understanding of Vector Databases, RAG architectures, and integrating open-source LLM frameworks.
- Big Data: Hands-on experience with Apache Spark, Hadoop, and Kafka for real-time ingestion.
- Database: Mastery in SQL/PLSQL and cloud data warehouses like Snowflake or Redshift.
- Cloud: Experience with AWS or Azure Machine Learning for managed LLM deployments.
- Language: Excellent English communication skills (Oral & Written).
Nice to Have
- Experience with LangChain, LlamaIndex, and DataStax AstraDB.
- Familiarity with Hugging Face Transformers and LLaMA-4 fine-tuning.
- Knowledge of MLOps tooling and CI/CD pipelines for model versioning.
What We Offer
- Remote Freedom: Maximum flexibility in choosing your location within India.
- Compensation: Competitive salary (B2B Contract) with annual performance reviews.
- Equipment: Really good hardware provided.
- Growth: Compensation for professional training, seminars, and conferences.
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