ai engineer [trading analytics & data engineering]

business intelligence (bi) developer — engineering analytics

ai engineer [trading analytics & data engineering] Jobs in Houston

applied ai ml, senior associate Jobs in Houston

applied ai ml, senior associate

business intelligence (bi) developer — engineering analytics Jobs in Houston

data engineer

data engineer i

machine learning engineer

YO IT Consulting

<div>
 
 Job Title:
 
 AI/ML Engineer
 
 
 
 Job Type:
 
 Full-Time
 
 
 
 Job Summary
 
 
 
 Join our team as a AI/ML Engineer and play a pivotal role in driving mission-critical government initiatives while also contributing to proprietary AI infrastructure, you&rsquo;ll harness advanced large language models (LLMs), retrieval-augmented generation (RAG), and multi-agent orchestration to deliver secure, scalable, and impactful machine learning systems. You&rsquo;ll work closely with cross-functional experts, leveraging frontier AI platforms and the latest in agentic AI tooling.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Design, implement, and optimize AI/ML models particularly leveraging LLMs, RAG, and prompt engineering for production grade applications.
 </li>
 <li>
 Develop and orchestrate multi-agent systems using frameworks such as LangGraph and LangChain.
 </li>
 <li>
 Integrate and deploy solutions on secure cloud environments, including AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, and AWS Bedrock.
 </li>
 <li>
 Build robust data pipelines, manage ETL processes, and develop metadata catalogs and ontologies to ensure high-quality data for AI training and inference.
 </li>
 <li>
 Create and maintain REST APIs and SDK integrations to facilitate seamless data and model interactions.
 </li>
 <li>
 Collaborate with product, security, and engineering teams to ensure best-in-class delivery, following secure coding and DevOps best practices (CI/CD).
 </li>
 <li>
 Document technical decisions and communicate complex concepts clearly to both technical and non-technical stakeholders.
 
 
 </li>
 </ul>
 
 Required Skills And Qualifications
 
 
 
 <ul>
 <li>
 Proficiency in Python for AI/ML development, including experience with REST APIs and SDK integration.
 </li>
 <li>
 Hands-on experience with LLMs, RAG systems, and prompt engineering in production environments.
 </li>
 <li>
 Familiarity with multi-agent orchestration, tool use, and frameworks like LangGraph and LangChain.
 </li>
 <li>
 Deep understanding of cloud AI services (AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, AWS Bedrock).
 </li>
 <li>
 Background in building and maintaining data pipelines, ontologies, metadata catalogs, and ETL processes.
 </li>
 <li>
 Strong grasp of secure coding and modern DevOps practices (CI/CD pipelines).
 </li>
 <li>
 Exceptional written and verbal communication skills for effective collaboration and documentation.
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience with AI/agentic platforms, such as Anthropic for Gov, OpenAI Enterprise, Gemini Enterprise, or Grok Enterprise.
 </li>
 <li>
 Knowledge of metadata catalog platforms (MCP) and advanced API development techniques.
 </li>
 <li>
 Prior exposure to government or highly regulated cloud environments and compliance standards.
 </li>
 </ul>
</div>

Machine Learning Engineer – Remote

Engineers & Constructors International

<div>Join the ECI Group's Professional Technical Services Network as a Sr Data Scientist. This is a Houston based contract role with an anticipated April 22, 2026 start date and ending on December 31, 2026. Note: You must be a US Citizen or Permanent US Resident to qualify for this position. 
 
We are looking for candidate with the ability to translate a business question into a data science solution. This requires that you have next to your knowledge of machine learning and/or statistics a good grasp of software development. Next to the data science capabilities and experiences you should be able to clearly and effectively present findings to our colleagues in other areas of expertise and business stakeholders. 
 
The ideal candidate has strong background in quantitative skills (like statistics, mathematics, advanced computing, machine learning) and has applied those skills in solving real world problems across different businesses / functions. 
Accountabilities:<ul><li>
Developing data science solutions to business challenges.</li><li>
Write clean and maintainable production-level code, including tests; the tech stack we work with includes Python, Databricks, GIT, Azure, SQL.</li><li>
Integrating models into production on a weekly or even daily basis</li><li>
Work closely with the customer and the Product Owner day-to-day</li><li>
Work in a highly-collaborative, friendly Agile environment, participate in Ceremonies and Continuous Improvement activities.</li><li>
Documenting and explaining the results of analysis or modelling to both a technical and non-technical audience</li><li>
Learning new engineering practices, technologies and continuously improving our Agile practices</li></ul>
Special Challenges:<ul><li>
Rapid onboarding on projects, understanding analytics goal and working with ill-defined datasets</li><li>
Communicating technical jargon in plain English to colleagues within Data Science team and outside Virtual working with network of colleagues located throughout the globe 
</li></ul>
Skills &amp; Requirements:<ul><li>
Experience on data science projects.</li><li>
Broad experience and knowledge in Statistics, Machine Learning and data engineering.</li><li>
Awareness of issues in statistics and dependence on data quality</li><li>
A practical approach to problem solving and attention to detail.</li><li>
Passion for and expertise in practicing data science to solve real-world customer problems.</li><li>
Excellent oral and written communication skills.</li><li>
Strong interpersonal skills and enthusiasm for teamwork, as well as the ability to work independently.</li><li>
High standards of code quality, making use of version control tools.</li><li>
Proficiency in statistical software packages such as R, Python, Matlab.</li><li>
Good knowledge of cloud environment like specifically Azure is required.</li><li>
Experience in Agile working methodology | Software Configuration Management - Knowledge, Software Construction - Knowledge, Software Engineering Economics - Knowledge</li></ul>
Work Location and Schedule: 
This is an onsite role based in Houston, TX (150 N Dairy Ashford). Standard schedule is a 40 hours/week. Weekly paid travel is not provided. 
 
Please Note: The ECI Group uses AI-assisted tools in the early stages of application review, with all decisions guided by human oversight and fully compliant with General Data Protection Regulation (GDPR) and ECI Group's applicable data protection policies and Privacy Notice. 

gPJRJxWEge</div>

Sr Data Scientist

JPMorganChase

<div>JOB DESCRIPTION 
Join a dynamic team at the forefront of data science and AI, where your expertise will shape the future of banking technology. As part of our Corporate Technology Data Science and AI organization, you will collaborate with world-class professionals to deliver impactful solutions. This is your opportunity to influence business processes and technology strategies across the firm. We value creativity, curiosity, and a passion for solving complex problems. Make a meaningful impact while advancing your career in a modern, collaborative environment.
As an Applied AI ML Senior Associate in the Corporate Technology Data Science and AI team, you will design, build, and deploy scalable analytical solutions for diverse business needs. You will engage with stakeholders, deliver actionable insights, and drive the adoption of cutting-edge AI technologies. We empower you to innovate, collaborate, and grow while making a tangible difference in our organization. Your contributions will help us unlock new opportunities and deliver value across Corporate Technology and supported Corporate Functions.
Job Responsibilities<ul><li>
Develop and implement generative AI and agentic AI solutions using Python to enhance automation and decision-making.</li><li>
Design, deploy, and manage prompt-based models on large language models for natural language processing tasks.</li><li>
Conduct research and guide best practices in prompt engineering to optimize model performance.</li><li>
Collaborate with cross-functional teams to identify business requirements and deliver tailored AI solutions.</li><li>
Communicate complex technical concepts clearly to both technical and non-technical stakeholders, including senior leadership.</li><li>
Build and maintain data pipelines and processing workflows for prompt engineering using cloud services.</li><li>
Develop and maintain tools and frameworks for model training, evaluation, and optimization.</li><li>
Analyze and interpret data to assess model effectiveness and identify improvement opportunities.</li><li>
Lead stakeholder engagement to ensure alignment of AI solutions with business objectives.</li><li>
Support the deployment of machine learning solutions into production business workflows.</li><li>
Foster a culture of innovation and continuous improvement within the team.</li></ul>
Required Qualifications, Capabilities, and Skills<ul><li>
Master&rsquo;s degree in a data science-related discipline, plus three years of industry experience, or PhD in a data science-related discipline.</li><li>
Extensive experience in data analysis, transformation, and analytics using Python.</li><li>
Proven ability to develop and maintain production-quality code.</li><li>
Experience with continuous integration and unit test development.</li><li>
Strong written and verbal communication skills for technical and business audiences.</li><li>
Demonstrated scientific thinking and problem-solving ability.</li><li>
Ability to work independently and collaboratively in team environments.</li><li>
Detail-oriented, curious, and motivated by complex analytical challenges.</li><li>
Experience building and managing data pipelines and workflows.</li><li>
Track record of delivering actionable insights from data.</li><li>
Commitment to professional growth and learning in AI/ML technologies.</li></ul>
Preferred Qualifications, Capabilities, and Skills<ul><li>
Familiarity with the financial services industry.</li><li>
Experience with A/B testing and data-driven product development.</li><li>
Knowledge of cloud-native deployment in large-scale distributed environments.</li><li>
Experience developing and debugging production-quality machine learning code.</li><li>
Exposure to prompt engineering and orchestration libraries for large language models.</li><li>
Industry experience implementing machine learning solutions in business contexts.</li><li>
Ability to drive innovation and influence technology adoption within organizations.</li></ul>
#LI-RB3
ABOUT US 
Chase is a leading financial services firm, helping nearly half of America&rsquo;s households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants&rsquo; and employees&rsquo; religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
Equal Opportunity Employer/Disability/Veterans 
 
 
ABOUT THE TEAM 
<div>
Our Consumer &amp; Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We&rsquo;re proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions &ndash; all while ranking first in customer satisfaction.</div><div> 
 
</div><div>Operations teams develop and manage innovative, secure service solutions to meet clients&rsquo; needs globally. Developing and using the latest technology, teams work to deliver industry-leading capabilities to our clients and customers, making it easy and convenient to do business with the firm. Teams also drive growth by refining technology-driven customer and client experiences that put users first, providing an unparalleled experience.</div></div>

Applied AI ML, Senior Associate

Phillips 66

Phillips 66 & YOU - Together we can fuel the future
 
As a Senior Advisor II, AIML Engineer, you will lead complex digital initiatives and AI/ML-driven innovation to advance enterprise efficiency and unlock new value across business units. The position blends strategic project leadership with advanced AI engineering capabilities to deliver scalable, intelligent solutions that improve operations, decision making, and user experience.
 
What You’ll Do
 
Lead and deliver digital transformation programs, applying agile, design thinking, and AI/ML expertise to solve complex business problems and enhance operational performance.
 
Develop, fine-tune, and deploy advanced machine learning and large language models to support intelligent autonomous agents across refining, transportation, commercial, and marketing domains.
 
Integrate AI systems with enterprise platforms such as SAP, APIs, and cloud environments while ensuring compliance, reliability, and scalability.
 
Direct project planning, requirements management, and cross-functional alignment to ensure successful implementation of digital initiatives.
 
Oversee agent safety, testing, monitoring, and optimization to reduce risks and maintain accuracy.
 
Guide technical execution, mentor team members, and drive a culture of innovation through hackathons, idea programs, and continuous improvement efforts.
 
What You’ll Bring – Required
 
Bachelor’s degree in Computer Science, Engineering, Math, Statistics, or related field
 
3 or more years of relevant work experience developing AI/ML models and autonomous systems
 
Intermediate proficiency with ML frameworks (TensorFlow, PyTorch) and LLM tooling (LangChain, LlamaIndex, Semantic Kernel/AutoGen)
 
Intermediate proficiency in with RAG, vector databases, API integrations, and production-grade MLOps (Docker, MLflow, Azure, AWS)
 
Intermediate proficiency in software engineering fundamentals, programming experience (C#, Java, Scala, Python, SQL/NoSQL/Graph)
 
Legally authorized to work in the job posting country
 
What Makes You Stand Out – Preferred
 
Experience leading medium to large project teams and managing stakeholder engagement
 
Advanced skills in project risk management, agile release planning, and strategic prioritization
 
Background in digital transformation, business process improvement, and enterprise-level change management
 
Familiarity with innovation practices such as design thinking, hackathons, and idea-generation platforms
 
Experience integrating AI systems into complex enterprise landscapes such as SAP or multi-cloud environments
 
Demonstrated technical leadership in guiding teams, managing projects, and driving successful delivery
 
Compensation Range
 
This position has a base salary range of $155,700 – $190,300.
 
At Phillips 66, we are committed to pay transparency and competitive, equitable compensation. Each role is assigned a salary grade with a defined pay range, benchmarked against industry peers. Where a candidate offer falls within the posted range depends on the candidate's experience, skills, and alignment with the role’s requirements. Offers are made to ensure internal equity and market competitiveness. Our compensation programs are designed to reward performance and support career growth.
 
Total Rewards
 
At Phillips 66, providing access to high quality programs and care for you and your family is important to us. Maintaining a culture of well-being — physical, emotional, social, and financial — is essential for a high-performing organization. When we are at our best, we are poised to deliver exceptional results — personally and professionally. Benefits for certain eligible, full-time employees include:
 
Annual Variable Cash Incentive Program (VCIP) bonus
 
8% 401k company match
 
Cash Balance Account pension
 
Medical, Dental, and Vision benefits with an annual company contribution to a Health Savings Account for employees on HDHP
 
Total well-being programs and incentives, including Employee Assistance Plan, well-being reimbursement, and backup family care services
 
Learn more about Phillips 66 Total Rewards (http://hr.phillips66.com) .
 
Phillips 66 has more than 140 years of experience in providing the energy that enables people to dream bigger and go farther, faster. We are committed to improving lives, and that is our promise to our employees and our communities. We are sustained by the backgrounds and experiences of our diverse teams, which reflect who we are, the environment we create and how we work together. We have been recognized by the Human Rights Campaign, U.S. Department of Labor and the Military Times for our continued commitment to inclusive practices and policies in the hiring and retention of those in the LGBTQ+ community and military veterans. Our company is built on values of safety, honor and commitment. We call our cultural mindset Our Energy in Action, which we define through four simple, intuitive behaviors: We work for the greater good, cultivate an environment of trust, seek different perspectives and pursue excellence.
 
Learn more about Phillips 66 and how we are working to meet the world's energy needs today and tomorrow, by visiting phillips66.com.
 
To be considered
 
In order to be considered for this position you must complete the entire application process, which includes answering all prescreening questions and providing your eSignature on or before the requisition closing date of 4/14/2026.
 
Candidates for regular U.S. positions must be a U.S. citizen or national, or an alien admitted as permanent resident, refugee, asylee or temporary resident under 8 U.S.C. 1160(a) or 1255(a)(1). Individuals with temporary visas such as E, F-1, H-1, H-2, L, B, J, or TN or who need sponsorship for work authorization now or in the future, are not eligible for hire.
 
Phillips 66 is an Equal Opportunity Employer

Senior Advisor II, AI/ML Engineer

<div>Join the ECI Group's Professional Technical Services Network as an AI Engineer [Trading Analytics &amp; Data Engineering]. This is a Houston based contract role with an anticipated May 5, 2026 start date and ending on December 31, 2026. Note: You must be a US Citizen or Permanent US Resident to qualify for this position. 
 
About the role 
We're hiring an AI Engineer with a strong data engineering foundation and excellent communication skills&mdash;ideally with commodity or financial trading experience. You'll partner with traders and trading analysts to rapidly build AI powered analytics over market pricing and fundamentals data, using Databricks and Spark to deliver value at speed. 
 
What you'll do:<ul><li>
Design and ship AI driven analytics for front office use (seasonality, correlation, regression, forecasting, scenario modelling).</li><li>
Build reusable and scalable data pipelines in Databricks (PySpark/Spark, Delta/Unity Catalog), optimizing cost, reliability, and performance.</li><li>
Run statistical/econometric analyses on large datasets (e.g., market &amp; fundamental time series data).</li><li>
Collaborate directly with traders/analysts&mdash;translate ambiguous questions into shippable solutions; communicate insights clearly.</li><li>
Implement LLM/agentic workflows: prompt engineering, LangGraph orchestration, MCP integrations, tool calling, retrieval, and guardrails.</li><li>
Productionize solutions with testing, observability, versioning, and documentation.</li></ul>
 
What you'll bring:<ul><li>
Hands on Databricks + Spark expertise (PySpark, SQL, Delta, Unity Catalog).</li><li>
Proven data engineering skills (ingestion, modelling, orchestration, performance tuning).</li><li>
Strong statistics/economics/data science fundamentals for market time series.</li><li>
Experience building LLM solutions (prompting, retrieval, agent flows; LangGraph, MCP) and integrating with trading data/services.</li><li>
Experience with CI/CD, Terraform, MLflow/feature stores, vector DBs, and governance (PII handling, data lineage).</li><li>
Excellent stakeholder skills; able to work on desk with traders/analysts and deliver fast.</li></ul> 

Nice to have:<ul><li>
Background in commodity or financial trading.</li><li>
Familiarity with market microstructure, supply demand fundamentals, risk management.</li></ul>
 
Ways of working<ul><li>
Hybrid; high touch collaboration with trading teams.</li><li>
Bias to prototype fast, iterate with users, and harden to production.</li><li>
Maintain operational stability of production pipelines using secure, modern CI/CD engineering practices &mdash; with automated testing, quality gates, and built in reliability across development, security, and operations.</li></ul> 

Please Note: The ECI Group uses AI-assisted tools in the early stages of application review, with all decisions guided by human oversight and fully compliant with General Data Protection Regulation (GDPR) and ECI Group's applicable data protection policies and Privacy Notice. 

3OUjqTPrbd</div>

AI Engineer [Trading Analytics & Data Engineering]

Technosoft Engineering, INC

Job Title: Senior AI Application EngineerLocation: Houston, TXDuration: Contract We are hiring a very senior, hands‑on AI‑first engineer to build and ship end‑to‑end AI solutions rapidly using modern agentic coding workflows.This role is centered on AI‑driven development, where tools like Claude, Cursor, and other LLM agents generate most of the solution, and engineers steer, validate, and integrate.You&rsquo;ll work in small, high‑velocity &ldquo;vibe coding&rdquo; pods, delivering production‑ready AI applications in days&mdash;not weeksKey Responsibilities<ul><li>Build end to end AI powered applications rapidly using AI assisted and agentic coding workflows</li><li>Leverage LLMs (Claude, OpenAI, etc.) to generate, refactor, and evolve large portions of the codebase</li><li>Design and implement RAG pipelines, MCP servers, and agent-based workflows</li><li>Deliver working solutions quickly &mdash; prototypes that evolve into production systems</li><li>Collaborate closely in small pods, emphasizing speed, iteration, and shared ownership</li><li>Validate, harden, and integrate AI generated code into reliable, maintainable solutions</li></ul>Key Requirements<ul><li>AI first development mindset with heavy reliance on AI coding agents</li><li>Recent (last 6-12 months) hands on experience using tools like Claude / Cursor / agentic IDEs</li><li>Proven ability to build and ship full solutions end to end</li><li>Experience with GenAI, RAG pipelines, MCP servers, or AI agents</li><li>Comfortable in fast moving, experimental teams with high ownership</li></ul>Preferred / Nice-to-Have Skills<ul><li>Python, FastAPI, Node.js, or similar backend experience</li><li>Cloud deployment experience (AWS and/or Azure)</li></ul>Pay: From $70.00 per hourExperience:<ul><li>using tools like Claude / Cursor / agentic IDEs: 1 year (Required)</li></ul>Work Location: In person

Senior AI Application Engineer

Bot Auto

<div><h2 class="jobSectionHeader">Company Introduction</h2>

At Bot Auto, we are revolutionizing the transportation of goods with our cutting-edge autonomous trucks, enhancing the quality of life for communities around the globe. With the agility of a start-up and the wisdom of seasoned experts, Bot Auto boasts a team that has achieved numerous world-firsts and unparalleled innovations. United by a shared vision, we create miracles and propel the future of transportation. Join us and transform your dreams into reality.
<h2 class="jobSectionHeader">
About the Role</h2>

We are looking for a motivated and technically strong Software Engineer Intern to join our Data &amp; ML Infrastructure team for the summer. In this role, you will work alongside experienced engineers on real-world systems that power our autonomous driving platform &mdash; spanning full-stack development, data engineering, and machine learning infrastructure. This is a hands-on opportunity to contribute meaningfully to production systems and gain direct exposure to the challenges of building large-scale infrastructure for autonomous vehicles.
<h2 class="jobSectionHeader">
What You'll Do</h2>

As an intern, you will contribute to one or more of the following areas depending on your background and interests:

Full-Stack Development &mdash; Build and improve web-based tools, dashboards, and internal applications that support data monitoring, visualization, and workflow management across our autonomous driving data platform.

Data Infrastructure &mdash; Help build and maintain scalable data collection, ingestion, and transformation pipelines that move data from autonomous systems into our data lake and lakehouse. Work with technologies such as Spark, Delta Lake, and cloud-native services in a hybrid-cloud environment.

ML Infrastructure &mdash; Contribute to the tooling and pipelines that support model evaluation, training data management, annotation workflows, or experiment tracking &mdash; helping accelerate the development and improvement of perception and prediction models.
<h2 class="jobSectionHeader">
Qualifications</h2>

Required:
<ul>
<li>Currently pursuing a Bachelor's or Master's degree in Computer Science, Engineering, or a related field, with an expected graduation date in 2026 or early 2027.</li>
<li>Strong programming skills in Python.</li>
<li>Foundational knowledge in at least one of: web development (React, TypeScript, FastAPI), data systems (SQL, ETL, distributed processing), or machine learning concepts.</li>
<li>Familiarity with databases such as MySQL or PostgreSQL.</li>
<li>Strong problem-solving skills, intellectual curiosity, and a desire to learn.</li>
<li>Ability to work collaboratively in a fast-paced, cross-functional team environment.</li>
</ul>
Highly Preferred:
<ul>
<li>Working knowledge of C++.</li>
<li>Experience with cloud platforms (AWS, GCP, or Azure).</li>
<li>Hands-on experience with data processing frameworks such as Spark, Airflow, or similar.</li>
<li>Exposure to ML frameworks (PyTorch, TensorFlow) or MLOps tooling (MLflow, W&amp;B).</li>
<li>Prior coursework or project experience in distributed systems, data engineering, or machine learning.</li>
</ul>
Nice to Have:
<ul>
<li>Interest in or exposure to autonomous driving, robotics, or computer vision.</li>
<li>Experience with containerization and orchestration tools (Docker, Kubernetes).</li>
<li>Contributions to open-source projects or strong personal/academic project portfolio.</li></ul></div>

Intern, Software Engineer(Data Infrastructure)

Explore 162+ Machine learning engineer in Houston this April. Find roles across top companies and apply now to boost your career.