Data Engineer
$108K - $129K/yr
Experience building or maintaining RAG pipelines (e.g., vector databases, embeddings, document chunking strategies, retrieval optimization). * Proven ability to manage structured and unstructured ...
Data Engineer
$108K - $129K/yr
Experience building or maintaining RAG pipelines (e.g., vector databases, embeddings, document chunking strategies, retrieval optimization). * Proven ability to manage structured and unstructured ...
AI ML Engineer
Lakeland, FL · Remote
Vector and Retrieval Mastery: Direct experience engineering production-grade RAG architectures, embeddings, semantic search, and local vector databases (e.g., FAISS, Qdrant, Milvus, Chroma)
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AI ML Engineer
Lakeland, FL · Remote
Vector and Retrieval Mastery: Direct experience engineering production-grade RAG architectures, embeddings, semantic search, and local vector databases (e.g., FAISS, Qdrant, Milvus, Chroma)
AI/ML Engineer
Tampa, FL · Hybrid
Handson experience with LLMs, prompt engineering, embeddings, vector databases, and RAG frameworks. * Strong programming skills in Python; familiarity with Java/C++ is a plus. * Proficiency with ML ...
AI/ML Engineer
Tampa, FL · Hybrid
Handson experience with LLMs, prompt engineering, embeddings, vector databases, and RAG frameworks. * Strong programming skills in Python; familiarity with Java/C++ is a plus. * Proficiency with ML ...
Senior Consultant
Tampa, FL · On-site
... vector databases (FAISS, Pinecone, etc.) Implement end-to-end ML pipelines (data → model → deployment → monitoring) Collaborate with engineering teams to integrate models via APIs and ...
Senior Consultant
Tampa, FL · On-site
... vector databases (FAISS, Pinecone, etc.) Implement end-to-end ML pipelines (data → model → deployment → monitoring) Collaborate with engineering teams to integrate models via APIs and ...
Data Engineer
Tampa, FL · On-site
$118K - $162K/yr
Experience with vector databases (OpenSearch, Pinecone, Weaviate, etc.) * Familiarity with containerized workflows (Docker, Kubernetes) * Experience supporting LLM or generative AI production systems
Data Engineer
Tampa, FL · On-site
$118K - $162K/yr
Experience with vector databases (OpenSearch, Pinecone, Weaviate, etc.) * Familiarity with containerized workflows (Docker, Kubernetes) * Experience supporting LLM or generative AI production systems
Hands-on experience with vector databases: Pinecone, PGVector, MongoDB Atlas Vector Search, Neo4j, Milvus, etc. * Experience building pipelines for large-scale unstructured data processing. Cloud ...
Hands-on experience with vector databases: Pinecone, PGVector, MongoDB Atlas Vector Search, Neo4j, Milvus, etc. * Experience building pipelines for large-scale unstructured data processing. Cloud ...
Data Engineer
$118K - $162K/yr
Experience with vector databases (OpenSearch, Pinecone, Weaviate, etc.) * Familiarity with containerized workflows (Docker, Kubernetes) * Experience supporting LLM or generative AI production systems
Data Engineer
$118K - $162K/yr
Experience with vector databases (OpenSearch, Pinecone, Weaviate, etc.) * Familiarity with containerized workflows (Docker, Kubernetes) * Experience supporting LLM or generative AI production systems
AI Solutions Developer
Tampa, FL · On-site
$47.50 - $65.50/hr
Develop applications powered by Large Language Models using LangChain vector databases embeddings and prompt orchestration frameworks - Python Based Application Development: Build scalable AI ...
AI Solutions Developer
Tampa, FL · On-site
$47.50 - $65.50/hr
Develop applications powered by Large Language Models using LangChain vector databases embeddings and prompt orchestration frameworks - Python Based Application Development: Build scalable AI ...
AI Engineering Consultant - Utilities
Tampa, FL · On-site
$70K - $205K/yr
Engineer with modern tooling - use Python, API integration, vector databases, and orchestration frameworks (e.g., LangChain, LlamaIndex) to build production-ready solutions. * Apply DevOps practices ...
AI Engineering Consultant - Utilities
Tampa, FL · On-site
$70K - $205K/yr
Engineer with modern tooling - use Python, API integration, vector databases, and orchestration frameworks (e.g., LangChain, LlamaIndex) to build production-ready solutions. * Apply DevOps practices ...
An expert in data engineering and management using various products such as S3, Snowflake, Databricks, SQL databases, no-SQL databases, Vector/Graph database, etc. * A Security Data expert of various ...
An expert in data engineering and management using various products such as S3, Snowflake, Databricks, SQL databases, no-SQL databases, Vector/Graph database, etc. * A Security Data expert of various ...
An expert in data engineering and management using various products such as S3, Snowflake, Databricks, SQL databases, no-SQL databases, Vector/Graph database, etc. * A Security Data expert of various ...
An expert in data engineering and management using various products such as S3, Snowflake, Databricks, SQL databases, no-SQL databases, Vector/Graph database, etc. * A Security Data expert of various ...
Select and implement local-first tooling across the AI ecosystem, including vector databases, orchestration frameworks, and model serving layers. · Collaborate on Strategy: Partner with engineering ...
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Select and implement local-first tooling across the AI ecosystem, including vector databases, orchestration frameworks, and model serving layers. · Collaborate on Strategy: Partner with engineering ...
AI Machine Learning Scientist
Tampa, FL · On-site +1
Experience developing Retrieval-Augmented Generation (RAG) systems, semantic search, vector databases, embeddings, and prompt engineering techniques highly preferred. * Experience designing and ...
AI Machine Learning Scientist
Tampa, FL · On-site +1
Experience developing Retrieval-Augmented Generation (RAG) systems, semantic search, vector databases, embeddings, and prompt engineering techniques highly preferred. * Experience designing and ...
AI/ML Engineer
Tampa, FL · On-site
$108K - $185K/yr
Hands-on experience with LLMs, prompt engineering, embeddings, vector databases, and RAG frameworks. * Strong programming skills in Python; familiarity with Java/C++ is a plus. * Proficiency with ML ...
AI/ML Engineer
Tampa, FL · On-site
$108K - $185K/yr
Hands-on experience with LLMs, prompt engineering, embeddings, vector databases, and RAG frameworks. * Strong programming skills in Python; familiarity with Java/C++ is a plus. * Proficiency with ML ...
AI/ML Engineer
Tampa, FL · Hybrid
$108K - $185K/yr
Hands‑on experience with LLMs, prompt engineering, embeddings, vector databases, and RAG frameworks. * Strong programming skills in Python; familiarity with Java/C++ is a plus. * Proficiency with ...
AI/ML Engineer
Tampa, FL · Hybrid
$108K - $185K/yr
Hands‑on experience with LLMs, prompt engineering, embeddings, vector databases, and RAG frameworks. * Strong programming skills in Python; familiarity with Java/C++ is a plus. * Proficiency with ...
Proven ability to integrate AI systems with event-driven microservices, vector databases/feature stores, and CI/CD pipelines, while leading reference architectures and cross-cloud patterns that scale ...
Proven ability to integrate AI systems with event-driven microservices, vector databases/feature stores, and CI/CD pipelines, while leading reference architectures and cross-cloud patterns that scale ...
Familiarity with designing and integrating databases (SQL, NoSQL) and working with vector databases, RAG, and hybrid search approaches. * Prior experience developing agentic AI applications or GenAI ...
Familiarity with designing and integrating databases (SQL, NoSQL) and working with vector databases, RAG, and hybrid search approaches. * Prior experience developing agentic AI applications or GenAI ...
Proven ability to integrate AI systems with event-driven microservices, vector databases/feature stores, and CI/CD pipelines, while leading reference architectures and cross-cloud patterns that scale ...
Proven ability to integrate AI systems with event-driven microservices, vector databases/feature stores, and CI/CD pipelines, while leading reference architectures and cross-cloud patterns that scale ...
Proven ability to integrate AI systems with event-driven microservices, vector databases/feature stores, and CI/CD pipelines, while leading reference architectures and cross-cloud patterns that scale ...
Proven ability to integrate AI systems with event-driven microservices, vector databases/feature stores, and CI/CD pipelines, while leading reference architectures and cross-cloud patterns that scale ...
IT AI Innovation Engineer
Tampa, FL · On-site
Familiarity with vector databases, semantic search, and LLM orchestration. * Proficiency with version control (git). * Hands-on experience with ServiceNow platform and architecture. * Solid ...
IT AI Innovation Engineer
Tampa, FL · On-site
Familiarity with vector databases, semantic search, and LLM orchestration. * Proficiency with version control (git). * Hands-on experience with ServiceNow platform and architecture. * Solid ...
Vector Databases information
What are vector databases?
Vector databases are specialized databases designed to store, manage, and search high-dimensional vector data, which is commonly generated from machine learning models, such as embeddings from natural language processing or image recognition. They enable efficient similarity search operations, such as finding the most similar items to a given query vector, which is essential for applications like recommendation systems, semantic search, and AI-powered search engines. Unlike traditional databases that handle structured or unstructured data, vector databases are optimized for fast and scalable similarity searches on large datasets of vectors.
What are some common challenges faced when working with vector databases, and how can they be addressed?
Professionals working with vector databases often encounter challenges such as efficiently scaling to handle large datasets, ensuring low-latency similarity searches, and integrating the database with machine learning pipelines. To address these, teams typically implement distributed architectures, fine-tune indexing strategies, and collaborate closely with data engineers and machine learning specialists. Staying updated with the latest developments in vector database technologies and maintaining clear communication with cross-functional teams are also key to overcoming these challenges.
What are the key skills and qualifications needed to thrive as a vector database engineer, and why are they important?
Success as a Vector Database Engineer requires a strong background in computer science, database management, and experience with machine learning or AI-driven data systems. Familiarity with vector database platforms (such as Pinecone, Milvus, or Weaviate), cloud infrastructure, and proficiency in languages like Python are typically expected. Strong problem-solving skills, effective communication, and the ability to work cross-functionally help engineers stand out. These competencies are vital to efficiently design, deploy, and maintain scalable vector search solutions that power modern AI applications.
What is the difference between Vector Databases vs Data Engineers?
| Aspect | Vector Databases | Data Engineers |
|---|---|---|
| Required Skills | Database management, data modeling, query optimization | Data pipeline development, ETL processes, programming |
| Work Environment | Data storage systems, AI/ML projects, cloud platforms | Data infrastructure, cloud environments, big data tools |
| Industry Usage | AI, machine learning, recommendation systems | Data integration, analytics, data architecture |
While Vector Databases focus on storing and querying high-dimensional vector data for AI applications, Data Engineers build and maintain data pipelines and infrastructure to support data analysis and machine learning workflows. Both roles are essential in data-driven industries but serve different functions within the data ecosystem.
What are popular job titles related to Vector Databases jobs in Lakeland, FL?
For Vector Databases jobs in Lakeland, FL, the most frequently searched job titles are:
What job categories do people searching Vector Databases jobs in Lakeland, FL look for?
The top searched job categories for Vector Databases jobs in Lakeland, FL are:
What cities near Lakeland, FL are hiring for Vector Databases jobs?
Cities near Lakeland, FL with the most Vector Databases job openings:
Accenture Federal Services rating
8.7
Based on 20 frontline employees who took The Breakroom Quiz
48th of 496 rated business services
Job description
We are looking for a Data Engineer with strong handson experience designing, developing, and managing largescale data workflows across structured and unstructured datasets. This role focuses heavily on building reliable RAG (Retrieval-Augmented Generation) pipelines, orchestrating ETL/ELT processes, and deploying scalable data systems in AWS.
Responsibilities
- Design, build, and maintain RAG pipelines, including document ingestion, indexing, embedding workflows, and model retrieval flows.
- Develop and manage structured and unstructured data pipelines supporting analytics, ML, and application workloads. Build and optimize ETL/ELT pipelines in AWS using services such as S3, Lambda, Step Functions, EMR, Glue, ECS/EKS, and IAM best practices. Implement and operate NiFi flows for highthroughput, lowlatency data ingestion and transformation.
- Develop, orchestrate, and schedule workflows using Prefect, ensuring reliability, observability, and proper error handling. Implement indexing, search, and retrieval patterns using ElasticSearch, including schema design, cluster management, and query optimization.
- Collaborate closely with architecture, ML, and application teams to support scalable data solutions.
- Ensure data quality, lineage, governance, and security across all pipelines.
- Monitor system performance and troubleshoot issues across distributed data systems.
Qualifications
- Solid understanding of ETL/ELT processes and data modeling best practices.
- Handson experience implementing workflows in Prefect (Prefect 2.0 preferred). Indepth knowledge of ElasticSearch indexing, cluster management, and search optimization.
- Proficiency in Python and familiarity with common data libraries (Pandas, PySpark, requests, etc.).
Preferred Qualifications
- Strong experience with Apache NiFi for data flow management and realtime ingestion.
- Experience building or maintaining RAG pipelines (e.g., vector databases, embeddings, document chunking strategies, retrieval optimization).
- Proven ability to manage structured and unstructured data pipelines at scale.
- Experience with AWS cloud services for data engineering.
- Strong version control and CI/CD experience.
- Experience with vector databases (OpenSearch, Pinecone, Weaviate, etc.)
- Familiarity with containerized workflows (Docker, Kubernetes)
- Experience supporting LLM or generative AI production systems
- Background in distributed systems, streaming platforms, or data mesh architectures
Clearance
- An active TS/SCI federal security clearance is required
What Accenture Federal Services employees say
Pay
Benefits
Hours and flexibility
Workplace
Get the full story on Breakroom
About Accenture Federal Services
Sourced by ZipRecruiter
Industry
It services
Company size
10,000+ Employees
Headquarters location
Arlington, VA, US
Year founded
1989