Vector Database Engineer

RemoteRemoteFull TimeEntry-level (exp-based)Posted 26 days agoHidden Gem · Himalayas

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Required skills

Vector Database
LLMs
data engineering
automated pipeline build
CI/CD
Azure cloud
Azure Data Factory
Python
Pyspark
Spark-SQL

Nice to have

AI
ML
RAG
NLP
Langchain
distributed database systems

Role summary

Our client is seeking two Vector Database Engineers to design, implement, and optimize vector databases for Large Language Models (LLMs). The role requires strong data engineering fundamentals, including automated pipeline builds and CI/CD within the Azure cloud environment. Responsibilities include integrating vector databases into front-end solutions, maintaining data security, and ensuring regulatory compliance. The ideal candidate will have experience with specific vector databases like ChromaDB, Pinecone, or FAISS, and possess excellent communication skills to interact with both technical and non-technical stakeholders. Familiarity with AI/ML concepts and distributed database systems is preferred.

OUR CLIENT

Our client provides data-driven, action-oriented solutions to business problems through statistical data mining, cutting-edge analytics techniques, and a consultative approach. Leveraging proprietary methodology and best-of-breed technology, our client's analytics team takes an industry-specific approach to transform decision-making and embed analytics more deeply into their business processes. They have a global footprint of 2,000+ data scientists and analysts who assist client organizations with complex risk minimization methods, advanced marketing, pricing and CRM strategies, internal cost analysis, and cost and resource optimization within the organization. They serve the insurance, healthcare, banking, capital markets, utilities, retail and e-commerce, travel, transportation and logistics industries.

ROLE

We are seeking (2) Vector Database Engineers with experience in designing, implementing, and optimizing vector databases related to Large Language Models (LLMs). The candidate should have strong experience in fundamental data engineering concepts automated pipeline build, CI/ CD using Azure cloud. Candidate should be able to communicate technical concepts effectively to both technical and non-technical stakeholdersRESPONSIBILITIES

4.5+ years of experience in deploying data engineering solutons.
3+ years of Data Engineering experience comprising of - database solutions, CI/CD pipelines, automated deployment/ testing in Azure environment (Azure cloud, DevOps, Azure Data Factory (ADF) using Python, Pyspark or Spark-SQL)
6-12 months of Vector Database experience comprising implementing databases like ChromaDB/Pinecone/FAISS, embedding, vectorization, performance tuning, indexing strategies, front-end integration, query optimization, efficient retrieval
Collaborate with application developers to integrate vector databases into various front-end UI solutions
Implement and maintain data security measures for vector databases
Ensure compliance with relevant data protection regulations and industry standards
Work closely with cross-functional teams, including data scientists, software engineers, and product managers

TECHNICAL SKILLS

Experienced in deploying data engineering solutions - database solutions, CI/CD pipelines, automated deployment/ testing
Proficient in data manipulation on Azure (Azure Cloud, Azure Data Factory) using Python, Pyspark, Spark-SQL, Java or Scala
Experienced in developing and implementing vector databases - ChromaDB/Pinecone/FAISS
Experienced with vector database concepts - embedding, vectorization, performance tuning, indexing strategies, front-end integration
Familiarity with AI, ML concepts - retrieval algorithms (RAG), NLP, LLM frameworks like Langchain
Knowledge of distributed database systems

CANDIDATE PROFILE

Bachelors/Master's degree in economics, mathematics, computer science/engineering, operations research or related analytics areas; candidates with BA/BS degrees in the same fields from the top tier academic institutions are also welcome to apply
Outstanding written and verbal communication skills
Superior analytical and problem-solving skills
Experience in working in dual shore engagement is preferred
Must have experience in managing clients directly
Strong record of achievement, solid analytical ability, and an entrepreneurial hands-on approach to work

LOCATION

Candidate can be based anywhere in US or Canada

Originally posted on Himalayas

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