Data / Context Engineer - Remote
QTech US Inc
Dice Job Match Score™
🔢 Crunching numbers...
Job Details
Skills
- Python
- vector databases
- RAG/Retrieval Engineering
- Embedding Model Evaluation
- Data Ingestion Pipelines
Summary
Location: Remote
Duration: 5 Months
Looking for W2 candidates. No C2C
Seeking a Data / Context Engineer to join a leading multinational telecommunications technology company and play a pivotal role in shaping how knowledge flows across a massive, multi-region operation. This is a high-visibility opportunity to architect and scale a knowledge base (KB) system that will directly power decision-making across 12 Verizon regions and beyond.
Sign and implement the multi-regional KB architecture in P1 alongside SA.
Seed the KB across 12 Verizon regions during P2 (cohort 1 wk1, cohort 2 wk2, cohort 3 wk3 of July).
Build and operate the ingestion pipeline (machine-readable regional standards - embeddings - retrievable patterns) with sampled human approval gate.
Add MOD-specific retrievable context as regional overlays during Sep-Oct.
Own KB integrity checks, retrieval evaluation, and weekly health reporting.
This position offers exposure to enterprise-scale KB architecture at a top-tier telecommunications company. You will work at the intersection of AI infrastructure, data engineering, and real-world business impact, with your contributions visible across a nationwide operation from day one.
4-6 yrs hands-on RAG / retrieval / vector store engineering in production.
Built a multi-tenant or multi-region retrieval architecture with overlay / inheritance semantics, not just "one big index."
Vertex AI Vector Search OR transferable depth (Pinecone, Weaviate, pgvector with strong tenancy, OpenSearch hybrid).
Embedding model evaluation discipline - retrieval quality metrics (recall@k, precision@k, MRR), not vibes.
Python: familiar with structured-doc ingestion pipelines (PDF / XML / spreadsheet - chunked, normalised, embedded).
o Should-have skills:
Designed a promotion path between draft/approved/retired patterns with audit log.
Sampled human-review workflows integrated with the writeback path.
RF / telecom standards format familiarity.
Best Regards:
Tejaswani R.
Phone: +1-
Email:
- Dice Id: 91124817
- Position Id: 2026-494
- Posted 30+ days ago
Company Info
About QTech US Inc
QTech is a fast-growing, global, innovative IT Services firm offering end-to-end solutions for all of your IT challenges. We are specialized in Software Development, Business Analysis, Agile Transformation, Data Analytics, Business Intelligence, and Digital Transformation. We provide managed Services to our big and small clients through IT Consulting, Custom Software Development, Data Analytics, and IT Staffing. We provide custom solutions for our clients designed around their specific needs. No two clients are the same to us. Our focus is on providing custom solutions to complex IT business problems with a hands-on approach to create environments and systems that meet our customer's industry-specific needs. We strive to truly partner with our clients by listening first and working through the issues together to allow them to achieve the maximum benefit from their data and technology. We have the best resources and top-notch talent who can optimize and deliver cost-effective solutions to your issues.
Never miss an opportunity! Create an alert based on the job you applied for.Similar Jobs
It looks like there aren't any Similar Jobs for this job yet.
Search all similar jobs