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Pinecone Vector Databases Jobs in Largo, FL (NOW HIRING)

... vector databases FAISS Chroma Pinecone or similar technologies • Ability to design and implement endtoend ML pipelines training validation deployment • Strong understanding of machine learning ...

... 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 ...

Principal AI Engineer - Vice President

Tampa, FL · On-site

$120 - $160/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

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 ...

... vector search engines (e.g., FAISS, Pinecone, Weaviate), and LLM integration. • Solid ... databases PostgreSQL, schema design, migrations (Alembic/similar), query optimization, and async ...

Gen AI Tech Lead

Tampa, FL · On-site

$132K - $162K/yr

... vector search engines (e.g., FAISS, Pinecone, Weaviate), and LLM integration. • Solid ... databases PostgreSQL, schema design, migrations (Alembic/similar), query optimization, and async ...

Principal AI Engineer - Vice President

Tampa, FL · On-site

$125.60 - $188.40/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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 ...

AI Solutions Developer

Tampa, FL · On-site

$47.50 - $65.50/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... vector databases FAISS Chroma Pinecone or similar technologies - Ability to design and implement end to end ML pipelines training validation deployment - Strong understanding of machine learning ...

AI Solutions Developer

Tampa, FL

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... vector databases FAISS Chroma Pinecone or similar technologies - Ability to design and implement end to end ML pipelines training validation deployment - Strong understanding of machine learning ...

Qualifications Required: * 2+ years of analytics consulting or industry experience * 2+ years of experience with artificial intelligence development tools, including vector databases such as Pinecone ...

Pinecone Vector Databases information

What is a Pinecone vector database?

A Pinecone Vector Database is a cloud-based service designed to efficiently store, index, and search high-dimensional vector data, such as embeddings generated by machine learning models. It enables fast similarity search, making it ideal for use cases like semantic search, recommendation systems, and AI-powered applications. Pinecone handles the complexity of scaling and managing vector data, so developers can focus on building intelligent applications without worrying about infrastructure.

What are the key skills and qualifications needed to thrive as a Pinecone vector database engineer, and why are they important?

To thrive as a Pinecone Vector Database Engineer, you need a strong background in computer science, data engineering, and experience with large-scale distributed systems, often supported by a relevant degree or equivalent experience. Proficiency in Python, REST APIs, cloud platforms (AWS, GCP), and vector search technologies, along with familiarity with Pinecone’s SDK and database management, are commonly required. Strong analytical thinking, problem-solving abilities, and effective communication skills help you collaborate with cross-functional teams and deliver scalable solutions. These skills ensure robust database performance, efficient data retrieval, and successful integration of vector search capabilities into real-world applications.

What are some common challenges faced by engineers working with Pinecone vector databases, and how can they be addressed?

Engineers working with Pinecone Vector Databases often encounter challenges such as optimizing vector search performance at scale, ensuring data consistency across distributed systems, and integrating the database with various machine learning pipelines. Addressing these challenges typically involves tuning indexing parameters, monitoring resource utilization, and collaborating closely with data scientists to understand retrieval requirements. Regularly reviewing documentation and participating in community forums can also help engineers stay current with best practices and new features.

What is the difference between Pinecone Vector Databases vs Data Engineers?

AspectPinecone Vector DatabasesData Engineers
Primary RoleManaging and deploying vector database solutions for AI/ML applicationsDesigning, building, and maintaining data pipelines and infrastructure
Skills & CertificationsKnowledge of vector databases, cloud platforms, programming (Python, SQL)Data modeling, ETL processes, cloud services, programming (Python, Java)
Work EnvironmentTech companies, AI startups, cloud providersData-driven organizations, tech firms, finance, healthcare

While Pinecone Vector Databases specialists focus on deploying and managing vector database solutions for AI applications, Data Engineers build and maintain the data infrastructure that supports these systems. Both roles require programming skills and familiarity with cloud platforms, but their core responsibilities differ: one centers on database management, the other on data pipeline development.

What job categories do people searching Pinecone Vector Databases jobs in Largo, FL look for?

The top searched job categories for Pinecone Vector Databases jobs in Largo, FL are:

What cities near Largo, FL are hiring for Pinecone Vector Databases jobs?

Cities near Largo, FL with the most Pinecone Vector Databases job openings:

Banking AI Engineer

eTeam

Tampa, FL • On-site

Full-time

Re-posted 2 days ago


Job description

Job Summary:
eTeam is seeking a highly skilled AI Solutions Developer with expertise in building end-to-end AIML applications. The role involves designing, developing, and deploying intelligent solutions, including LLM-powered applications and machine learning models.
Responsibilities:
• AIML Model Development
• Design build and optimize machine learning and deep learning models using PyTorch TensorFlow and related frameworks
• LLM Generative AI Solutions
• Develop applications powered by Large Language Models using LangChain vector databases embeddings and prompt orchestration frameworks
• PythonBased Application Development
• Build scalable AI services automation tools and backend components using Python
• Data Engineering Pipelines
• Prepare transform and manage datasets build feature pipelines and model training workflows
• Model Deployment MLOps
• Deploy models into production using APIs containerization Docker CICD and cloud platforms
• Evaluation Optimization
• Perform model tuning evaluation and performance optimization to ensure accuracy efficiency and reliability
• CrossFunctional Collaboration
• Work closely with product engineering and business teams to translate strategic requirements into AIdriven technical solutions
• Experimentation Research
• Stay uptodate with emerging AI technologies evaluate new tools and prototype innovative solutions
Qualifications:
Required:
• Strong handson experience with Python for AIML development
• Proficiency with PyTorch TensorFlow or similar deep learning frameworks
• Experience developing LLMbased applications using LangChain embeddings vector databases FAISS Chroma Pinecone or similar technologies
• Ability to design and implement endtoend ML pipelines training validation deployment
• Strong understanding of machine learning concepts NLP and deep learning architectures
• Solid experience with APIs microservices and cloudbased deployment
• Strong analytical debugging and problemsolving skills
Company:
eTeam is a staffing agency that also provides payrolling services. Founded in 1999, the company is headquartered in Somerset, USA, with a team of 501-1000 employees. The company is currently Late Stage.