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Vector Development Jobs in Canton, GA (NOW HIRING)

... vector store such as AWS OpenSearch, Elasticsearch, etc * 2+ years of experience building platform components and frameworks improving ML/AI development and deployment efficiency * 1+ years of ...

New

Machine Learning Engineer

Atlanta, GA · On-site

$120 - $165/hr

... growing R&D and Applied AI team. This role is critical in helping Oversight deliver the next ... Implement RAG pipelines using vector databases. * Work with frameworks like LangChain, LangGraph ...

Senior AI Engineer

Atlanta, GA · On-site +1

$100K - $138K/yr

Familiarity with vector stores (Pinecone, Weaviate, ChromaDB, FAISS, etc.) for embeddings and retrieval * Software Development: Understanding of Git workflows, version control with GitHub, and ...

... vector databases (FAISS, Azure AI Services, Pinecone, etc.) * Proficiency with GitHub Copilot and Claude Code for accelerated development; understanding of Copilot Studio and other AI-enabled ...

-java developer

Alpharetta, GA · On-site

$49.75 - $64.50/hr

... development guidelines and help improve the guidelines • Develop and implement security ... vectors, protection mechanisms, web application vulnerabilities and their solutions. • Source ...

Lead hands-on development (Python /APIs) Core Skills: * Strong experience in Generative AI, LLMs, and RAG * Expertise in: * Prompt engineering (temperature, top-p) * Vector databases & embeddings

Vector Databases Must-Have Qualifications and Experience * 15+ years of experience in software ... Hands‑on fluency with AI development tools, IDE‑based AI assistants, agentic workflows, and ...

Showing results 21-40

Vector Development information

What is the difference between Vector Development vs Data Analyst?

AspectVector DevelopmentData Analyst
Required CredentialsBachelor's in Computer Science, Engineering, or related fields; programming skillsBachelor's in Statistics, Mathematics, or related fields; analytical skills
Work EnvironmentTech companies, R&D labs, software development teamsBusiness, finance, healthcare, and marketing sectors
Industry UsageAI, machine learning, computer vision, roboticsData interpretation, reporting, business insights

Vector Development involves creating algorithms and models for AI and machine learning applications, often requiring programming expertise. Data Analysts focus on interpreting data, generating reports, and providing insights to support business decisions. While both roles work with data and require analytical skills, Vector Developers are more technical and programming-oriented, whereas Data Analysts emphasize data interpretation and communication.

Infographic showing various Vector Development job openings in Canton, GA as of June 2026, with employment types broken down into 1% As Needed, 84% Full Time, and 15% Part Time. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution.

Full-time

Re-posted 25 days ago


Job description

Overview
Job Purpose
ICE Data Services (an Intercontinental Exchange company) is seeking a mid-level full-stack developer to join its Data Impact & Innovation team. This team supports a variety of reference data, index, climate finance, and alternative data products. This role presents a unique opportunity to support and enhance big data applications and products aimed at helping the financial sector understand and respond to carbon transition risk, physical risk, and related challenges.
Responsibilities
  • Develop and enhance web-based UI applications around the ICE Climate datasets:
    • Use modern front-end frameworks for building crisp and clear visualizations
    • Design and implement data modeling and transformation sufficient to support API endpoints for front-end visualizations
    • Hands-on execution of all stages of the development lifecycle, from rapid prototyping, to iterative refinement based on user feedback, to testing remediation and release.
  • Support integration and enhancement of existing web applications that allow coherent exploration and analysis of multiple climate datasets and methodologies across different financial asset classes
  • Design and implement client-side strategies for rendering large geospatial and tabular datasets at scale, including appropriate use of tiling, virtualization, caching, and data-reduction techniques
  • Lead efforts to design, architect, and implement software components with minimal oversight.
  • Independently handle project activities related to builds and deployments.
  • Write and maintain automated tests, including end-to-end testing with tools like Playwright, to verify the functionality and quality of the software.
  • Effectively leverage AI and LLM-based developer tooling to accelerate development workflows and improve code quality.
  • Identify opportunities to improve and optimize applications.
  • Work with business analysts and product management to understand and refine new requirements.

Knowledge and Experience
  • 3+ years of professional experience and demonstrated ability in most of the following areas:
  • JavaScript technologies such as React and TypeScript
  • Node.js backend frameworks, particularly NestJS
  • Python web backend frameworks, particularly FastAPI
  • Relational databases and SQL, with comfort reading and writing analytical queries against cloud data warehouses (e.g. Google BigQuery)
  • Core knowledge of fundamental web protocols and standards (HTML5, HTTP, WebSockets, CORS, cookies and session management, etc.)
  • Cloud computing and infrastructure, especially Google Cloud Platform
  • Client-side mapping using Mapbox GL JS, including working with vector tiles, GeoJSON, and custom source/layer/style configuration
  • Spatial data in relational databases, particularly PostGIS, including spatial indexes and SQL-level geometric operations
  • Demonstrated ability to optimize web applications for performant client-side rendering of large datasets - familiarity with strategies such as vector tiles, virtualization, web workers, data decimation, client-side caching (IndexedDB), React performance profiling, and GPU-accelerated rendering
  • Automated testing frameworks, particularly end-to-end browser testing (e.g. Playwright)
  • Practical experience using AI/LLM coding assistants and a demonstrated ability to integrate them productively into development workflows
  • Excellent written and verbal communication skills, in order to collaborate effectively with in-person and remote technical colleagues, business stakeholders, and client end-users to brainstorm tradeoffs and timelines.

#LI-HR1 #LI-ONSITE
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Intercontinental Exchange, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to legally protected characteristics.