Full-Time

Machine Learning Data Engineer

Bright Vision Technologies

Bright Vision Technologies

51-200 employees

AI-powered talent intelligence and automation platform

Compensation Overview

$100k - $150k/yr

No H1B Sponsorship

Remote in USA

Remote

Bachelor's, Master's

Category
Data & Analytics (1)
Required Skills
Python
Distributed Systems
Apache Spark
Machine Learning
Data Engineering
Data Modeling
DevOps

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Requirements
  • A Bachelor’s or Master’s degree in Computer Science or a related field.
  • Six or more years of data engineering experience, including significant work supporting machine learning or artificial intelligence workloads.
  • Strong proficiency in Python and at least one JVM or systems language.
  • Deep experience with modern data processing frameworks such as Spark, Ray, or Beam.
  • Hands-on experience operating petabyte-scale storage and pipeline systems.
  • Strong understanding of distributed systems, data modeling, and storage formats.
  • Experience with dataset versioning, lineage, and reproducibility for machine learning workflows.
  • Familiarity with high-throughput data loading for accelerator-based training.
  • Strong software engineering practices including testing, continuous integration and continuous delivery, and code review.
  • Excellent communication and cross-functional collaboration skills.
Responsibilities
  • Build and operate large-scale data systems that power modern artificial intelligence training and evaluation pipelines.
  • Manage data ingestion, transformation, quality assurance, lineage, and high-throughput delivery of data to training jobs across diverse modalities.
  • Operate petabyte-scale data systems supporting machine learning workloads.
Desired Qualifications
  • Experience with multimodal datasets at large scale.
  • Familiarity with data quality tooling and dataset evaluation methodology.
  • Exposure to privacy-preserving data systems and regulated data handling.
  • Open-source contributions to data infrastructure projects.
  • Experience supporting frontier model training pipelines.
Bright Vision Technologies

Bright Vision Technologies

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Bright Vision Technologies offers Lumina, an AI-powered platform for talent intelligence and enterprise automation, along with consulting and staffing services. Lumina analyzes unstructured data with generative AI, Large Language Models orchestrated via LangChain, and Retrieval-Augmented Generation to support sourcing and screening candidates, integrated with CRM, ERP, and HRMS on a cloud-native microservices architecture across AWS, Azure, and Google Cloud. The company differentiates itself by combining a sophisticated AI product with hands-on consulting and staffing expertise, plus its minority-owned status and a dual model that helps clients implement technology and solve broader business challenges. Its goal is to streamline and automate complex workflows in IT talent acquisition and management to enable digital transformation and efficient enterprise operations.

Company Size

51-200

Company Stage

N/A

Total Funding

N/A

Headquarters

N/A

Founded

2020

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Simplify Jobs

Simplify's Take

What believers are saying

  • Its 2026-07-27 website update signals active product investment and ongoing positioning.
  • On 2026-08-01, hiring trackers showed 45 live openings, led by engineering and AI.
  • LinkedIn on 2026-04-21 said Bright Vision serves Fortune 500 clients and builds in-house.

What critics are saying

  • The dual staffing-and-product model dilutes focus and margins against pure-play software competitors.
  • July 2026 job boards list duplicates across dozens of remote roles, suggesting high churn.
  • If Lumina stalls, staffing commoditization and anonymous competitors can crush Bright Vision's valuation.

What makes Bright Vision Technologies unique

  • Bright Vision Technologies launched Lumina on 2026-04-17, combining RAG, LangChain, and blockchain verification.
  • It sells both talent intelligence software and staffing services from Bridgewater and Chennai.
  • The company targets enterprise integration across CRM, ERP, HRMS, and ATS systems.

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Benefits

Remote Work Options