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Vector Jobs in Houston, TX (NOW HIRING)

Deep knowledge of vector spaces, linear transformations, matrix operations, determinants, eigenvalues and eigenvectors, orthogonality, diagonalization, singular value decomposition, and systems of ...

Linear Algebra Tutor

Houston, TX · Remote

$18 - $40/hr

Deep knowledge of vector spaces, linear transformations, matrix operations, determinants, eigenvalues and eigenvectors, orthogonality, diagonalization, singular value decomposition, and systems of ...

Deep knowledge of partial derivatives, gradients, directional derivatives, multiple integrals, vector fields, line integrals, surface integrals, Lagrange multipliers, and the fundamental theorems of ...

Deep knowledge of partial derivatives, gradients, directional derivatives, multiple integrals, vector fields, line integrals, surface integrals, Lagrange multipliers, and the fundamental theorems of ...

Deep knowledge of vector spaces, linear transformations, matrix operations, determinants, eigenvalues and eigenvectors, orthogonality, diagonalization, singular value decomposition, and systems of ...

Linear Algebra Tutor

Pearland, TX · Remote

$18 - $40/hr

Deep knowledge of vector spaces, linear transformations, matrix operations, determinants, eigenvalues and eigenvectors, orthogonality, diagonalization, singular value decomposition, and systems of ...

Deep knowledge of partial derivatives, gradients, directional derivatives, multiple integrals, vector fields, line integrals, surface integrals, Lagrange multipliers, and the fundamental theorems of ...

Design privacy guardrails for AI agents, generative AI, RAG pipelines, model inputs and outputs, embeddings, vector stores, and automated data workflows. Reduce Risk While Enabling Innovation:

Experience with vector databases and practical understanding of graph databases and knowledge graphs. * Strong understanding of data engineering concepts including ETL, data quality, profiling ...

Google AI Lead Architect

Houston, TX · On-site

$52.75 - $72.25/hr

Build RAG and agentic solutions using Vertex AI Vector Search and BigQuery vector; implement context management, retrieval strategies, and observability. * Define end-to-end architectures across data ...

Oversee and administer the LMS (Vector) in support of various departments. This includes internal training on Vector's LMS, automatic input of new employees, training budgets, manage vendor ...

Oversee and administer the LMS (Vector) in support of various departments. This includes internal training on Vector's LMS, automatic input of new employees, training budgets, manage vendor ...

Showing results 41-60

Vector information

What is the difference between Vector vs Data Analyst?

AspectVectorData Analyst
Required CredentialsBachelor's degree in computer science, data science, or related field; knowledge of programming languages like Python or RBachelor's degree in statistics, mathematics, or related field; proficiency in data visualization and analysis tools
Work EnvironmentTech companies, data-driven industries, often in collaborative teamsBusiness, finance, healthcare sectors; working with large datasets and reporting
Employer & Industry UsageUsed in tech, AI, and data science companies for machine learning and data processingCommon in corporate, consulting, and research settings for interpreting data trends

While both Vector and Data Analyst roles involve working with data, Vector typically focuses on data processing, machine learning, and programming, whereas Data Analysts concentrate on interpreting data, creating reports, and supporting business decisions. The roles often overlap in skills but differ in primary responsibilities and industry focus.

What are some common challenges faced by professionals working in vector graphics design roles?

Professionals in vector graphics design often encounter the challenge of balancing creative vision with technical limitations, such as file compatibility and scalability across platforms. Collaborating closely with developers, marketers, and other designers is common to ensure consistency and usability of graphics in various media. Additionally, keeping up with evolving design software and trends is essential to remain competitive and efficient in this fast-paced field.

What is a vector?

In the context of jobs, 'vector' is most commonly used in fields such as mathematics, physics, computer science, and data analysis to refer to a quantity with both magnitude and direction, or a data structure that holds a sequence of values. For example, in computer programming, a vector is a type of dynamic array used to store and manipulate data efficiently. In other fields like biology, a vector might refer to an organism that transmits pathogens. The specific meaning of 'vector' depends on the industry and job role, so it's important to clarify the context when you encounter this term in a job description.

What are the key skills and qualifications needed to thrive as a Vector Control Specialist, and why are they important?

To thrive as a Vector Control Specialist, you need knowledge of entomology, environmental science, and public health, often supported by a relevant science degree or certification in pest management. Familiarity with GIS mapping, pesticide application equipment, and regulatory reporting systems is typically required. Strong analytical skills, attention to detail, and effective communication are crucial soft skills in this role. These competencies are vital for accurately identifying vector threats, implementing control measures, and ensuring community health and safety.

What are the most commonly searched types of Vector jobs in Houston, TX?

The most popular types of Vector jobs in Houston, TX are:

What cities near Houston, TX are hiring for Vector jobs?

Cities near Houston, TX with the most Vector job openings:

Infographic showing various Vector job openings in Houston, TX as of August 2026, with employment types broken down into 63% Full Time, 11% Part Time, and 26% Contract. Highlights an 95% In-person, and 5% Remote job distribution.

Full-time

Retirement, PTO

Re-posted 12 days ago


Energy Transfer rating

9.0

Company rating: 9.0 out of 10

Based on 64 frontline employees who took The Breakroom Quiz

3rd of 86 rated oil and gas companies


Job description

Energy Transfer, recognized by Forbes as one of America's best large employers, is dedicated to responsibly and safely delivering America's energy.  We are driven to inspire our employees to create superior value for our customers, our investors, a sustainable future and giving back to the community where we have long-standing commitments to causes including MD Anderson Children's Cancer Hospital, The Salvation Army, The American Red Cross, Ronald McDonald House and many more. 

We value all of our employees who make our growth and success possible.  We are proud to offer industry leading compensation, comprehensive benefits, 401(k) match with additional profit sharing, PTO and abundant career opportunities. 

Come join our award winning over 12,000 strong organization as we fuel the world and each other!

Summary:

Energy Transfer is looking for a hands-on AI Developer with strong expertise in Python or .NET, cloud platforms, and modern data tooling to join our multidisciplinary Enterprise AI team. This developer will work alongside AI engineers/developers and business analysts to build, ship, and iterate on real production AI solutions.

This role is ideal for someone who thrives in a fast-paced environment where they own work end-to-end: prototyping, building, deploying, and refining. Candidates who have come up through a smaller company or startup environment - wearing multiple hats and shipping real systems - will feel right at home.

Technical Environment

Core: Python .NET Azure Databricks (data platform)

AI stack: Azure OpenAI Azure AI Foundry Azure AI Search Microsoft Copilot Studio Semantic Kernel Vector Databases RAG (Retrieval-Augmented Generation) Semantic Search Agentic AI MCP (Model Context Protocol)

Essential Duties and Responsibilities

     Design, develop, deploy, and maintain AI solutions using Python and/or .NET.

     Build AI agents using Microsoft Copilot Studio or the Semantic Kernel Agent Framework.

     Build and optimize cloud-native applications on Azure.

     Work with large-scale data in Databricks.

     Partner with AI engineers/developers and business analysts to turn ideas and experiments into production systems.

     Apply critical thinking to evaluate model performance, troubleshoot complex issues, and improve system efficiency.

     Communicate clearly with both technical and non-technical stakeholders.

     Prototype quickly, test rigorously, and iterate often.

Requirements: Education and/or Experience, Knowledge, Skills & Abilities

To perform this job successfully, an individual must be able to perform each essential job duty satisfactorily. The requirements for this position are listed below:

     Bachelor's degree or equivalent experience, with relevant job experience commensurate with the selected job level (see below).

     Professional experience building production systems with Python or .NET (proficiency in both is a strong plus).

     Strong working knowledge of cloud services and architecture patterns - Azure preferred (or equivalent experience in AWS or GCP, with willingness to ramp on Azure).

     Hands-on experience building RAG (Retrieval-Augmented Generation) pipelines.

     Hands-on experience building AI agents with Microsoft Copilot Studio, Semantic Kernel Agent Framework, or an equivalent agent framework (e.g., LangGraph, AutoGen, CrewAI).

     Hands-on experience with at least two of the following:

    Azure AI Search (or equivalent vector/semantic search platform - Pinecone, Weaviate, pgvector, Elasticsearch with vector, AWS Kendra/OpenSearch)

    Vector databases

    Semantic search

    Agentic AI systems (multi-step reasoning, tool use, orchestration)

     Comfort working with SQL and large-scale data platforms (Databricks experience is a plus, but the syntax is approachable if you know SQL).

     Excellent communication and critical-thinking skills.

     Background in a smaller company or startup environment with significant ownership of technical work.

Required experience is commensurate with the selected job level:

     The Senior Specialist level requires a Bachelor's degree or equivalent experience and 5-8 years of relevant job related experience.

     The Lead Specialist level requires a Bachelor's degree or equivalent experience and 8+ years of relevant job related experience.

     The Principal Specialist level requires a Bachelor's degree or equivalent experience and 10+ years of relevant job related experience.

Preferred Qualifications

     Proficiency in both Python and .NET.

     Direct hands-on experience with Microsoft Copilot Studio and/or Semantic Kernel specifically.

     Hands-on experience with Databricks specifically.

     Practical ML experience (model training, evaluation, deployment).

     Familiarity with Azure AI Foundry (or equivalent - AWS Bedrock, Google Vertex AI) and Azure OpenAI (or equivalent managed LLM service) in production.

     Experience with MCP (Model Context Protocol) or similar agent-tooling standards.

     Natural Gas Pipeline or Energy Industry work experience is a plus.

Working Conditions

The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job.

     Usually, normal office working conditions.

     This is an on-site role, worked in person at the office 5 days per week during business hours.

     Must be able to remain in a stationary position 50% of the time due to prolonged periods of sitting or standing.

     Occasional overnight travel may be required to other business locations within the company. 

 

What Energy Transfer employees say

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