sr. ai & data engineer–trading analytics

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sr ai data engineer trading analytics

Shell Energy Retail

<div>Texas, United States of America 
 
Job Family Group:
Information Technology (IT) 
 
Worker Type:
Regular 
 
Posting Start Date:
June 11, 2026 
 
Business Unit:
Projects and Technology 
 
Experience Level:
Experienced Professionals 
 
Job Description:
What&rsquo;s the role
Shell is seeking a Sr. AI &amp; Data Engineer &ndash; Trading Analytics (also known internally as Data Engineering Lead) to join its team in Houston, TX. This role is ideal for an AI Engineer with a strong foundation in data engineering who can design and deliver AI-driven front-office analytics and GenAI/agentic solutions, collaborating closely with traders and trading analysts.
Shell Trading &amp; Supply is one of the world&rsquo;s leading energy and commodity trading organizations, operating across crude, refined products, gas, LNG, power, and environmental products. Trading sits at the heart of Shell&rsquo;s energy transition, requiring rapid, data‑driven decision making under complex market conditions. Within Trading &amp; Supply, the Crude &amp; Products business plays a critical commercial role, operating in highly regulated, fast‑moving markets where high‑quality analytics, data engineering, and AI are key competitive differentiators. Our focus is to deliver secure, reliable, and trader‑centric digital solutions that simplify workflows, enhance insight, and drive commercial value without compromising risk, safety, or controls.
As a Sr. AI &amp; Data Engineer in Trading Analytics, you will work directly with front‑office teams to design, build, and productionize AI‑driven analytics over market pricing and fundamental data. You will combine Databricks‑based data engineering, statistical and econometric techniques, and modern GenAI/agentic workflows to deliver insight at speed. This is a hands‑on individual contributor role with a strong bias toward practical delivery. You will operate in a high‑touch, hybrid model, iterating rapidly with users on‑desk, while engineering solutions to production‑grade standards using modern CI/CD and governance practices. Also, this role is rapid prototyping, iterative learning, and incremental production hardening, balanced with adherence to engineering, security, and governance frameworks to maintain speed and reliability.
Accountabilities:
Front‑Office Analytics &amp; Insight
<ul><li>Design, build, and deliver AI‑driven analytics for traders and analysts, including seasonality analysis, correlation studies, regression models, forecasting, and scenario modelling over market pricing and fundamentals data
</li><li>Work closely with traders and analysts to translate ambiguous business questions into clear analytical problem statements and working solutions
</li><li>Clearly communicate analytical outputs and AI‑generated insights to commercial stakeholders in a concise and actionable manner
</li></ul>Data Engineering &amp; Platforms
<ul><li>Build and maintain scalable, reusable data pipelines on Databricks using PySpark/Spark, SQL, Delta Lake, and Unity Catalog
</li><li>Support ingestion, modelling, and transformation of large‑scale time‑series pricing and fundamentals datasets
</li><li>Optimize pipelines for performance, reliability, and cost efficiency, following platform and data governance standards
</li></ul>AI, GenAI &amp; Agentic Solutions
<ul><li>Build and enhance GenAI and agent‑based solutions to support trading analytics, including:
<ul><li>Retrieval‑Augmented Generation (RAG)
</li><li>Prompt engineering
</li><li>Agent orchestration using frameworks such as LangGraph
</li><li>Tool calling and guardrails
</li></ul></li><li>Integrate LLM‑based workflows with structured trading and market data to augment analysis, insight generation, and decision support
</li><li>Prototype solutions quickly, gather user feedback, and help harden selected use cases for production deployment
</li></ul>Production, Quality &amp; Operations
<ul><li>Contribute to production‑ready analytics and AI solutions with testing, documentation, versioning, and basic observability
</li><li>Follow established CI/CD and DevOps practices, including use of Git‑based workflows and automated testing
</li><li>Support governance requirements such as PII handling, data lineage, and auditability in line with Trading &amp; Supply standards
</li></ul>What you bring
<ul><li>Must have legal authorization to work in the US on a full-time basis for anyone other than current employer
</li><li>Bachelor&rsquo;s degree or equivalent relevant years of experience
</li><li>At least 7 years of relevant experience
</li><li>Hands‑on experience with Databricks and/or Spark (PySpark, SQL, Delta Lake; Unity Catalog desirable)
</li><li>Proven data engineering skills, including pipeline development, data modelling, and performance optimization
</li><li>Solid foundation in statistics, econometrics, or data science, with experience applying these techniques to time‑series or market‑style datasets
</li><li>Practical experience building or contributing to LLM‑based solutions, including prompt engineering and retrieval‑based approaches
</li><li>Familiarity with GenAI frameworks and tooling (e.g., LangGraph or similar orchestration patterns)
</li><li>Experience working in collaborative engineering teams using Git and CI/CD pipelines
</li><li>Strong communication skills and the ability to work directly with analysts, traders, and other business stakeholders
</li></ul>Additional Preferred Qualifications
<ul><li>Exposure to commodity or financial trading environments
</li><li>Understanding of market fundamentals, supply‑demand dynamics, or risk concepts
</li><li>Experience with MLflow, feature stores, or vector databases
</li><li>Familiarity with working in regulated or risk‑sensitive environments
</li></ul>What we offer
The base salary range for this position is $149,000 - $223,000 per year . Individual pay will be based on various factors, such as relevant work experience, education, certifications, skill level, seniority, and internal equity.
For regular full-time or regular part-time employees of the Company (participating companies as listed in the Summary Plan Description), insurance coverage options include medical, dental, vision coverage, life Insurance, Business Travel Accident Insurance, and Occupational Accidental Death Benefit programs. Employees also participate in a company pension plan and a 401(k) plan. Paid leave includes up to 6 weeks of paid vacation time, up to 11 paid holidays, and parental leave offering 16 weeks of paid leave for birthing parents, and 8 weeks of paid leave for non-birthing parents.
Additionally, employees are eligible for short-term disability leave for up to 26 weeks at 100% or 50% of base pay as well as Long-Term Disability insurance. Shell also offers other compensation such financial reimbursement for adoption, wellness, education, and personal learning expenses, and some roles are eligible for discretionary long-term incentives. For interns, eligible benefits include medical, dental, and vision coverage, life insurance, Business Travel Accident Insurance, and Occupational Accidental Death Benefit programs; participation in a 401(k) plan; and paid leave for up to 11 paid holidays. Additional information on Shell&rsquo;s US benefit programs can be found at https://www.shell.us/careers/about-careers-at-shell/rewards-and-benefits.html .
You bring your skills and experience to Shell and in return you work with talented, committed people on one of the most important challenges facing our planet. You&rsquo;ll have the opportunity to develop the skills you need to grow in an environment where we value honesty, integrity, and respect for one another. You&rsquo;ll be able to balance your priorities as you become the best version of yourself.
<ul><li>Progress as a person as we work on the energy transition together
</li><li>Continuously grow the transferable skills you need to get ahead
</li><li>Work at the forefront of technology, trends, and practices
</li><li>Collaborate with experienced colleagues with unique expertise
</li><li>Achieve your balance in a values-led culture that encourages you to be the best version of yourself
</li><li>Benefit from flexible working hours, and the possibility of remote/mobile working
</li><li>Perform at your best with a competitive starting salary and annual performance related salary increase &ndash; our pay and benefits packages are considered to be among the best in the world.
</li><li>Take advantage of paid parental leave, including for non-birthing parents
</li><li>Join an organization working to become one of the most diverse and inclusive in the world. We strongly encourage applicants of all genders, ages, ethnicities, cultures, abilities, sexual orientation, and life experiences to apply
</li><li>Grow as you progress through diverse career opportunities in national and international teams
</li><li>Gain access to a wide range of training and development programs
</li></ul>We'd like you to know that Shell has a bold goal: to become one of the world&rsquo;s most diverse and inclusive companies. You can get to know more about how we're working towards that goal, click here .
Shell in The United States
Shell has been in the US for more than 100 years, leading the sector in energy, petrochemicals and refined products. Today, we provide millions of Americans with the energy needed to heat and cool their homes and power the economy.
We operate in all 50 states, from our Deepwater platforms in the Gulf of America to the Pennsylvania Chemicals complex and our miles of pipelines throughout the US.
We reach our customers through our 13,000 branded retail stations, and we are number 1 in gasoline sales. We also own the #1 brand of motor oil in the U.S. &ndash; Pennzoil&reg; &ndash; made from natural gas.
We are excited to play a key role in the move to net carbon emissions while providing the oil and gas needed by society for many decades to come.
<ul><li>- 
</li></ul> 
DISCLAIMER:
Please note: We occasionally amend or withdraw Shell jobs and reserve the right to do so at any time, including prior to the advertised closing date. Before applying, you are advised to read our data protection policy. This policy describes the processing that may be associated with your personal data and informs you that your personal data may be transferred to Shell/Shell Group companies around the world. The Shell Group and its approved recruitment consultants will never ask you for a fee to process or consider your application for a career with Shell. Anyone who demands such a fee is not an authorised Shell representative and you are strongly advised to refuse any such demand. Shell participates in E-Verify. All qualified applicants will receive consideration for employment without regard to race, color, sex, national origin, age, religion, disability, sexual orientation, gender identity, protected veteran status, citizenship, genetic information or other protected status under federal, state or local laws. Shell is an Equal Opportunity Employer - Minorities/Females/Veterans/Disability. As a US Federal Contractor, hiring selections are subject to periodic audit review and documentation of your selections should be maintained for a period of three calendar years. It is the policy of Shell in the U.S. (&ldquo;Shell&rdquo;) to provide equal opportunity to all individuals, employees and all qualified applicants for employment consistent with employment requirements and qualifications. Shell prohibits discrimination based on race, color, sex, national origin, age, religion, disability, sexual orientation, gender identity, veteran status, citizenship, genetic information, or other protected status under federal, state or local laws. All employees are expected to support this policy and contribute to an environment of equal opportunity. If you need an accommodation for a disability during the resourcing process, please speak with an HR representative.</div>

Sr. AI & Data Engineer–Trading Analytics

Shell

<div>Texas, United States of America 
 
Job Family Group:
Information Technology (IT) 
 
Worker Type:
Regular 
 
Posting Start Date:
June 11, 2026 
 
Business Unit:
Projects and Technology 
 
Experience Level:
Experienced Professionals 
 
Job Description:
What&rsquo;s the role
Shell is seeking a Sr. AI &amp; Data Engineer &ndash; Trading Analytics (also known internally as Data Engineering Lead) to join its team in Houston, TX. This role is ideal for an AI Engineer with a strong foundation in data engineering who can design and deliver AI-driven front-office analytics and GenAI/agentic solutions, collaborating closely with traders and trading analysts.
Shell Trading &amp; Supply is one of the world&rsquo;s leading energy and commodity trading organizations, operating across crude, refined products, gas, LNG, power, and environmental products. Trading sits at the heart of Shell&rsquo;s energy transition, requiring rapid, data‑driven decision making under complex market conditions. Within Trading &amp; Supply, the Crude &amp; Products business plays a critical commercial role, operating in highly regulated, fast‑moving markets where high‑quality analytics, data engineering, and AI are key competitive differentiators. Our focus is to deliver secure, reliable, and trader‑centric digital solutions that simplify workflows, enhance insight, and drive commercial value without compromising risk, safety, or controls.
As a Sr. AI &amp; Data Engineer in Trading Analytics, you will work directly with front‑office teams to design, build, and productionize AI‑driven analytics over market pricing and fundamental data. You will combine Databricks‑based data engineering, statistical and econometric techniques, and modern GenAI/agentic workflows to deliver insight at speed. This is a hands‑on individual contributor role with a strong bias toward practical delivery. You will operate in a high‑touch, hybrid model, iterating rapidly with users on‑desk, while engineering solutions to production‑grade standards using modern CI/CD and governance practices. Also, this role is rapid prototyping, iterative learning, and incremental production hardening, balanced with adherence to engineering, security, and governance frameworks to maintain speed and reliability.
Accountabilities:
Front‑Office Analytics &amp; Insight
<ul><li>Design, build, and deliver AI‑driven analytics for traders and analysts, including seasonality analysis, correlation studies, regression models, forecasting, and scenario modelling over market pricing and fundamentals data
</li><li>Work closely with traders and analysts to translate ambiguous business questions into clear analytical problem statements and working solutions
</li><li>Clearly communicate analytical outputs and AI‑generated insights to commercial stakeholders in a concise and actionable manner
</li></ul>Data Engineering &amp; Platforms
<ul><li>Build and maintain scalable, reusable data pipelines on Databricks using PySpark/Spark, SQL, Delta Lake, and Unity Catalog
</li><li>Support ingestion, modelling, and transformation of large‑scale time‑series pricing and fundamentals datasets
</li><li>Optimize pipelines for performance, reliability, and cost efficiency, following platform and data governance standards
</li></ul>AI, GenAI &amp; Agentic Solutions
<ul><li>Build and enhance GenAI and agent‑based solutions to support trading analytics, including:
<ul><li>Retrieval‑Augmented Generation (RAG)
</li><li>Prompt engineering
</li><li>Agent orchestration using frameworks such as LangGraph
</li><li>Tool calling and guardrails
</li></ul></li><li>Integrate LLM‑based workflows with structured trading and market data to augment analysis, insight generation, and decision support
</li><li>Prototype solutions quickly, gather user feedback, and help harden selected use cases for production deployment
</li></ul>Production, Quality &amp; Operations
<ul><li>Contribute to production‑ready analytics and AI solutions with testing, documentation, versioning, and basic observability
</li><li>Follow established CI/CD and DevOps practices, including use of Git‑based workflows and automated testing
</li><li>Support governance requirements such as PII handling, data lineage, and auditability in line with Trading &amp; Supply standards
</li></ul>What you bring
<ul><li>Must have legal authorization to work in the US on a full-time basis for anyone other than current employer
</li><li>Bachelor&rsquo;s degree or equivalent relevant years of experience
</li><li>At least 7 years of relevant experience
</li><li>Hands‑on experience with Databricks and/or Spark (PySpark, SQL, Delta Lake; Unity Catalog desirable)
</li><li>Proven data engineering skills, including pipeline development, data modelling, and performance optimization
</li><li>Solid foundation in statistics, econometrics, or data science, with experience applying these techniques to time‑series or market‑style datasets
</li><li>Practical experience building or contributing to LLM‑based solutions, including prompt engineering and retrieval‑based approaches
</li><li>Familiarity with GenAI frameworks and tooling (e.g., LangGraph or similar orchestration patterns)
</li><li>Experience working in collaborative engineering teams using Git and CI/CD pipelines
</li><li>Strong communication skills and the ability to work directly with analysts, traders, and other business stakeholders
</li></ul>Additional Preferred Qualifications
<ul><li>Exposure to commodity or financial trading environments
</li><li>Understanding of market fundamentals, supply‑demand dynamics, or risk concepts
</li><li>Experience with MLflow, feature stores, or vector databases
</li><li>Familiarity with working in regulated or risk‑sensitive environments
</li></ul>What we offer
The base salary range for this position is $149,000 - $223,000 per year . Individual pay will be based on various factors, such as relevant work experience, education, certifications, skill level, seniority, and internal equity.
For regular full-time or regular part-time employees of the Company (participating companies as listed in the Summary Plan Description), insurance coverage options include medical, dental, vision coverage, life Insurance, Business Travel Accident Insurance, and Occupational Accidental Death Benefit programs. Employees also participate in a company pension plan and a 401(k) plan. Paid leave includes up to 6 weeks of paid vacation time, up to 11 paid holidays, and parental leave offering 16 weeks of paid leave for birthing parents, and 8 weeks of paid leave for non-birthing parents.
Additionally, employees are eligible for short-term disability leave for up to 26 weeks at 100% or 50% of base pay as well as Long-Term Disability insurance. Shell also offers other compensation such financial reimbursement for adoption, wellness, education, and personal learning expenses, and some roles are eligible for discretionary long-term incentives. For interns, eligible benefits include medical, dental, and vision coverage, life insurance, Business Travel Accident Insurance, and Occupational Accidental Death Benefit programs; participation in a 401(k) plan; and paid leave for up to 11 paid holidays. Additional information on Shell&rsquo;s US benefit programs can be found at https://www.shell.us/careers/about-careers-at-shell/rewards-and-benefits.html .
You bring your skills and experience to Shell and in return you work with talented, committed people on one of the most important challenges facing our planet. You&rsquo;ll have the opportunity to develop the skills you need to grow in an environment where we value honesty, integrity, and respect for one another. You&rsquo;ll be able to balance your priorities as you become the best version of yourself.
<ul><li>Progress as a person as we work on the energy transition together
</li><li>Continuously grow the transferable skills you need to get ahead
</li><li>Work at the forefront of technology, trends, and practices
</li><li>Collaborate with experienced colleagues with unique expertise
</li><li>Achieve your balance in a values-led culture that encourages you to be the best version of yourself
</li><li>Benefit from flexible working hours, and the possibility of remote/mobile working
</li><li>Perform at your best with a competitive starting salary and annual performance related salary increase &ndash; our pay and benefits packages are considered to be among the best in the world.
</li><li>Take advantage of paid parental leave, including for non-birthing parents
</li><li>Join an organization working to become one of the most diverse and inclusive in the world. We strongly encourage applicants of all genders, ages, ethnicities, cultures, abilities, sexual orientation, and life experiences to apply
</li><li>Grow as you progress through diverse career opportunities in national and international teams
</li><li>Gain access to a wide range of training and development programs
</li></ul>We'd like you to know that Shell has a bold goal: to become one of the world&rsquo;s most diverse and inclusive companies. .
Shell in The United States
Shell has been in the US for more than 100 years, leading the sector in energy, petrochemicals and refined products. Today, we provide millions of Americans with the energy needed to heat and cool their homes and power the economy.
We operate in all 50 states, from our Deepwater platforms in the Gulf of America to the Pennsylvania Chemicals complex and our miles of pipelines throughout the US.
We reach our customers through our 13,000 branded retail stations, and we are number 1 in gasoline sales. We also own the #1 brand of motor oil in the U.S. &ndash; Pennzoil&reg; &ndash; made from natural gas.
We are excited to play a key role in the move to net carbon emissions while providing the oil and gas needed by society for many decades to come.
<ul><li>- 
</li></ul> 
DISCLAIMER:
Please note: We occasionally amend or withdraw Shell jobs and reserve the right to do so at any time, including prior to the advertised closing date. Before applying, you are advised to read our data protection policy. This policy describes the processing that may be associated with your personal data and informs you that your personal data may be transferred to Shell/Shell Group companies around the world. The Shell Group and its approved recruitment consultants will never ask you for a fee to process or consider your application for a career with Shell. Anyone who demands such a fee is not an authorised Shell representative and you are strongly advised to refuse any such demand. Shell participates in E-Verify. All qualified applicants will receive consideration for employment without regard to race, color, sex, national origin, age, religion, disability, sexual orientation, gender identity, protected veteran status, citizenship, genetic information or other protected status under federal, state or local laws. Shell is an Equal Opportunity Employer - Minorities/Females/Veterans/Disability. As a US Federal Contractor, hiring selections are subject to periodic audit review and documentation of your selections should be maintained for a period of three calendar years. It is the policy of Shell in the U.S. (&ldquo;Shell&rdquo;) to provide equal opportunity to all individuals, employees and all qualified applicants for employment consistent with employment requirements and qualifications. Shell prohibits discrimination based on race, color, sex, national origin, age, religion, disability, sexual orientation, gender identity, veteran status, citizenship, genetic information, or other protected status under federal, state or local laws. All employees are expected to support this policy and contribute to an environment of equal opportunity. If you need an accommodation for a disability during the resourcing process, please speak with an HR representative.</div>

Fustis LLC

<div>Job Title:
Data Scientist
Location:
100% Remote
Duration:
12 Months
Work Authorisation:
USC Only
Pay Rate:
$65/hr. on W2
Mode of Interview:
Video 
Remote with Forged Fiber 37
Position Overview: 
 
Forged Fiber 37 is a rapidly growing fiber infrastructure company focused on delivering high-quality broadband and network solutions. As we continue to scale, we are investing heavily in data, analytics, artificial intelligence, and automation to drive smarter business decisions, improve operational efficiency, and accelerate growth. 
We are seeking a Data Scientist who is excited to help build the next generation of data and AI capabilities within our organization. Telecommunications or fiber experience is not required. We value curiosity, adaptability, and individuals who are eager to learn our business while bringing fresh ideas and innovative approaches. 

 
Position Summary: 
The Data Scientist will play a critical role in developing analytics, machine learning models, AI-driven solutions, and business intelligence tools that support operations across the organization. This individual will work closely with leadership, operations, engineering, construction, finance, and technology teams to uncover insights, automate processes, and develop intelligent solutions that create measurable business value. 
The ideal candidate thrives in a fast-paced, entrepreneurial environment and enjoys taking ownership of projects from concept through deployment. 

 
Key Responsibilities: 
Develop and deploy machine learning and AI solutions to improve business performance and operational efficiency. 
Analyze large datasets to identify trends, patterns, risks, and opportunities. 
Design and maintain executive dashboards and reporting solutions using Looker. 
Write and optimize complex SQL queries to support analytics and business intelligence initiatives. 
Build scalable data solutions within Google Cloud Platform (GCP). 
Develop, fine-tune, and evaluate Large Language Models (LLMs) and generative AI applications. 
Design and implement Agentic AI solutions to automate workflows and business processes. 
Partner with stakeholders to translate business challenges into data-driven solutions. 
Support forecasting, resource planning, operational analytics, and performance reporting initiatives. 
Collaborate with engineering and technical teams to productionize AI and ML models. 
Present insights and recommendations to technical and non-technical audiences. 
Stay current on emerging technologies, AI advancements, and industry best practices. 

 
Required Qualifications: 
Bachelor//'s degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related field. 
4+ years of professional experience in Data Science, Analytics, Machine Learning, or a related role. 
Advanced SQL expertise with experience querying and optimizing large datasets. 
Strong experience developing dashboards and reports using Looker BI. 
Hands-on experience with Google Cloud Platform (GCP). 
Experience working with Large Language Models (LLMs), prompt engineering, or model fine-tuning. 
Practical experience developing and deploying AI/ML solutions. 
Experience building AI agents, autonomous workflows, or Agentic AI applications. 
Strong Python programming skills. 
Experience with machine learning frameworks such as Scikit-learn, TensorFlow, PyTorch, or similar. 
Excellent analytical, problem-solving, and communication skills. 
 
Preferred Qualifications: 
Experience with BigQuery and cloud-based data warehouses. 
Experience with Retrieval-Augmented Generation (RAG) architectures. 
Knowledge of vector databases and semantic search technologies. 
Experience with MLOps, CI/CD, and model deployment pipelines. 
Startup or high-growth company experience. 
Familiarity with construction, infrastructure, utilities, broadband, or telecommunications industries. 
What Success Looks Like 
Building scalable reporting and analytics solutions that improve decision-making. 
Developing AI-powered tools that automate manual processes and increase efficiency. 
Creating predictive models that help leadership make better operational and financial decisions. 
Bringing innovative ideas and emerging technologies to the business. 
Helping establish a modern data and AI practice that supports Forged Fiber 37//'s continued growth.</div>

Data Scientist

microvast

<div>AI/ML Engineer &ndash; Time Series &amp; Robotics
Are you ready to be part of a company that's not just talking about the future, but energetically shaping it? Join the Microvast Team (NASDAQ: MVST), a technology innovator that designs, develops and manufactures lithium-ion battery solutions. Founded in 2006 and headquartered in Stafford, TX, Microvast is renowned for its cutting-edge cell technology and its vertical integration capabilities which extend from core battery chemistry (cathode, anode, electrolyte, and separator) to battery packs. By integrating the process from raw material to system assembly, Microvast has developed a family of products covering a broad breadth of market applications. More information can be found on the corporate website: www.microvast.com
If you&rsquo;re ready to be part of a company that&rsquo;s not just adapting to change, but driving it, Microvast is the place for you. Apply now and electrify your career with a true leader in the global energy transformation.<h2 class="jobSectionHeader">
Role Summary</h2>
The AI / ML Engineer will develop and deploy machine learning algorithms that analyze multi-sensor time-series data from vehicles and robotic platforms. This position focuses on building robust models that improve system performance, monitoring, and intelligent behavior, working closely with robotics, controls, and embedded teams.<h2 class="jobSectionHeader">
Key Responsibilities</h2><div><ul><li>
Design and implement ML models for time-series sensor data (e.g., currents, torques, IMUs, joint states, vehicle signals, cameras, GPS).</li><li>
Build and maintain data pipelines for collection, preprocessing, feature extraction, and labeling.</li><li>
Prototype algorithms in Python (e.g., PyTorch, TensorFlow) and collaborate with embedded engineers to create deployable, resource-efficient models.</li><li>
Create production level models using C++ to improve efficiency in runtime and resource use from the Python prototype</li><li>
Evaluate model performance using appropriate metrics; iterate to improve robustness and generalization across platforms and use cases.</li><li>
Work with robotics and vehicle engineers to understand requirements and convert them into concrete ML problems and model specifications.</li><li>
Support data visualization, dashboards, and tools for internal users to interpret model outputs and system behavior.</li><li>
Document models, experiments, datasets, and results to ensure reproducibility and traceability.</li></ul></div><h2 class="jobSectionHeader">
Required Qualifications</h2><div><ul><li>
Bachelor&rsquo;s, Master&rsquo;s, or PhD in Computer Science, Electrical Engineering, Applied Mathematics, or a related field.</li><li>
Experience with embedded / edge AI or model compression and optimization techniques.</li><li>
Hands-on experience with machine learning for time-series or sensor data.</li><li>
Strong proficiency in C++ and ML frameworks.</li></ul></div>
Experience working with real-world noisy data (e.g., automotive, robotics, industrial, IoT).<div><ul><li>
Familiarity with data science tools and workflows (NumPy, Pandas, Jupyter, etc.).</li><li>
Ability to work in a cross-functional team and communicate technical concepts clearly.</li></ul></div><h2 class="jobSectionHeader">
Preferred Qualifications</h2><div><ul><li>
Familiarity with control systems, robotics, or vehicle dynamics.</li><li>
Experience with MLOps tools (experiment tracking, model versioning, CI/CD for ML).</li><li>
Experience with ROS or other multimodal sensor data frameworks</li><li>
Prior work in a product or R&amp;D environment with multi-disciplinary teams.</li></ul></div>
Expected Compensation
 Annual salary + benefits 
 
 Pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The total compensation package for this position may also include other elements dependent on the position offered. Details of participation in these benefit plans will be provided if an employee receives an offer of employment.
Applicants for employment at Microvast must be a U.S. citizen or national, U.S. permanent resident (i.e. current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.
Microvast is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to any factor, including veteran status and disability status, protected by applicable federal, state or local laws. Microvast is also committed to working with and providing reasonable accommodations to individuals with disabilities. Please let your recruiter know if you need an accommodation at any point during the interview process.
Privacy is a top priority for Microvast. We build it into our products and view it as an essential part of our business. To understand more about the data we collect and process as part of your application, please view our Privacy Policy - Microvast.</div>

Engineer -AI/ML -Time Series & Robotics

WhiteWater Express Car Wash

<div>Senior Data Engineer
Note: Position is not eligible for visa sponsorship. 
 
At WhiteWater Express, we are more than just a car wash; we are a company built on respect, communication, and a passion for people. Our dedicated team members are leaders within the company, and we believe that personal growth is the key to our organizational success. If you are a self-starter, motivated, and ready to take on new challenges, we want you to succeed with us, as a part of a rapidly growing business. 
 
Location: 106 Vintage Park Blvd. Houston, TX 77070
Position Overview
We&rsquo;re looking for a Full-Stack Software Engineer who thrives at the intersection of software development and data engineering and is excited to build technology that drives real-world impact. In this role, you&rsquo;ll take ownership of designing and developing end-to-end systems that automate workflows, integrate business processes, and power data-informed decision-making across a fast-growing, multi-location organization.
From creating internal workflow tools and customer-facing checkout experiences to building APIs and ETL pipelines that seamlessly sync on-site MySQL databases with our Snowflake data warehouse, your work will directly improve operational efficiency, scalability, and the foundation for long-term growth through smart, integrated technology.
Key Responsibilities<ul><li>
Design and develop full-stack applications using Python, PHP, Node.js, JavaScript.</li><li>
Build and maintain ETL pipelines to integrate and transform data across multiple systems using tools such as DBT etc.</li><li>
Develop and manage APIs to support system and data integrations</li><li>
Administer and optimize Snowflake, MySQL, and SQL Server databases</li><li>
Orchestrate and monitor data workflows using tools such as Airflow or similar platforms</li><li>
Maintain and support off-the-shelf software solutions</li><li>
Implement role-based access controls and data security best practices</li><li>
Collaborate with Data Analysts to optimize reporting and data accessibility</li><li>
Manage code repositories using Git and participate in CI/CD workflows</li><li>
Leverage cloud environments including AWS, Google Cloud, Azure, or DigitalOcean</li><li>
Troubleshoot technical issues and provide support to internal stakeholders</li><li>
Stay current with emerging technologies and continuously improve systems</li></ul>
Qualifications<ul><li>
Bachelor&rsquo;s degree in Computer Science, Software Engineering, or related field or 8+ years of hands-on software engineering experience</li><li>
Strong proficiency designing and maintaining ETL pipelines</li><li>
Deep understanding of database management, SQL optimization, data analytics and data warehousing</li><li>
Experience with PHP, Node.js, JavaScript, Python, and C#</li><li>
Experience with frameworks such as Laravel, Express.js, or WordPress</li><li>
Familiarity with cloud computing platforms (AWS, GCP, Azure)</li><li>
Knowledge of API design, CI/CD pipelines, Git version control, and Agile methodologies</li><li>
Strong problem-solving skills and ability to manage multiple priorities</li><li>
Excellent communication skills and ability to collaborate cross-functionally</li></ul>
Benefits<ul><li>
Comprehensive Health Benefits (Medical, Dental &amp; Vision)</li><li>
Paid Time Off in addition to Company Paid Holidays</li><li>
401(k) Retirement Plan with Company Match</li><li>
Company-Paid Life Insurance</li><li>
Pathways to Advancement</li><li>
Free Weekly Car Washes</li></ul>
Our employees are our most valuable asset. We only employ the best people in the service industry who embrace new challenges with enthusiasm. If you are looking for professional development with advancement opportunities in a fast-growing organization, come join our Team! 

85LCfLx9R5</div>

Senior Data Engineer

Gravity Global

<div>
 
 
 Department:
 
 Digital Experience - Social Media Management
 
 
 
 Location:
 
 Houston
 
 
 
 Compensation:
 
 $65,000 - $72,000 / year
 
 
 
 
 Description
 
 
 
 🌍
 
 Join Our Global Team
 
 
 
 Gravity Global is the world&rsquo;s most awarded marketing consultancy specialising in brands operating in complex markets. Led by strategy, innovation, technology, data, and creativity, we create brand-and-demand marketing programmes that drive transformational growth for our clients.
 
 
 With 14 wholly owned offices across the US, Europe and APAC, and our Global Talent Hubs in emerging markets, you can build a truly global career in a rapidly scaling organisation that&rsquo;s shaping the future of marketing.
 
 
 At Gravity Global, we believe our people are our greatest strength. We&rsquo;re a collective of creative thinkers, strategic storytellers, and data-driven innovators united by one mission &ndash; to deliver exceptional work that makes an impact. We&rsquo;re growing fast &ndash; across continents and disciplines &ndash; and we&rsquo;re looking for passionate individuals who want to make a difference: for our clients, our teams, and the world around us.
 
 
 
 About the role
 
 
 Manage the day-to-day delivery of social media campaigns, ensuring consistent, highquality execution across multiple client accounts. The Social Media Manager is responsible for planning, publishing, monitoring, and optimising content across platforms, helping to deliver measurable outcomes that align with client objectives and Gravity
 
 Global&rsquo;s social strategy.
 
 
 This role balances creative thinking, data-driven decision-making, and operational precision. It requires hands-on platform expertise, strong communication skills, and a proactive approach to collaboration with internal teams and clients.
 
 The role also requires awareness of global trends and the ability to adapt content for diverse international markets.
 
 
 
 Key Responsibilities
 
 
 
 
 Campaign Planning &amp; Delivery
 
 
 &bull; Plan, schedule, and execute content across social channels in line with client goals and campaign strategies.
 
 &bull; Work with Senior Managers and the Social Media Lead to translate strategies into actionable plans and content calendars.
 
 &bull; Maintain an up-to-date understanding of client tone, audience, and market trends.
 
 &bull; Ensure all output is on-brand, on-message, and optimised for platform best practices.
 
 &bull; Support influencer partnerships, community management, and audience engagement activity as required.
 
 
 
 Performance Monitoring &amp; Reporting
 
 
 &bull; Track campaign performance using analytics and social listening tools.
 
 &bull; Produce clear, accurate reports with insights and recommendations for optimisation.
 
 &bull; Monitor conversations and engagement, responding in accordance with client community management guidelines.
 
 &bull; Identify and escalate risks or opportunities promptly to senior team members.
 
 
 
 Client &amp; Stakeholder Management
 
 
 &bull; Build and maintain strong working relationships with client contacts.
 
 &bull; Attend client meetings and present updates or performance insights as needed.
 
 &bull; Collaborate closely with Creative, Paid Media, Analytics, and Client Services teams to ensure cohesive campaign delivery.
 
 &bull; Contribute ideas and feedback to help clients improve performance and achieve business objectives.
 
 &bull; Provide strategic input and actionable recommendations to enhance client outcomes and strengthen campaign performance.
 
 
 
 Content Development &amp; Collaboration
 
 
 &bull; Partner with designers, copywriters, and the creative team to brief and review social-first content.
 
 &bull; Apply a data-led approach to content recommendations and channel strategies.
 
 &bull; Ensure all content meets Gravity Global&rsquo;s standards of quality, accuracy, and compliance.
 
 &bull; Participate in creative brainstorms and contribute fresh, innovative ideas.
 
 
 
 Innovation &amp; Continuous Improvement
 
 
 &bull; Stay informed on emerging social trends, formats, and technologies.
 
 &bull; Suggest new ways to improve efficiency, content performance, and workflow.
 
 &bull; Support testing of new tools, features, and automation initiatives within the social practice.
 
 &bull; Proactively identify emerging social media trends, tools, and formats to keep clients at the forefront of digital innovation.
 
 
 
 Other Duties
 
 
 &bull; Ensure adherence to company policies and processes, including project tracking and time management.
 
 &bull; Support new business pitches, case study creation, and internal marketing initiatives when required.
 
 &bull; Promote a collaborative, inclusive, and positive team culture.
 
 
 
 Skills, Knowledge and Expertise
 
 
 
 <ul>
 <li>
 4&ndash;6 years&rsquo; experience in social media management or digital marketing.
 </li>
 <li>
 Proven track record in managing content delivery and community engagement for brands.
 </li>
 <li>
 Experience working with analytics, scheduling, and listening tools.
 </li>
 <li>
 Exposure to client communication and campaign reporting.
 </li>
 <li>
 Demonstrated experience collaborating with cross-functional teams, including Creative, Operations, Analytics, and Client Services.
 </li>
 <li>
 Excellent organisational and time-management skills.
 </li>
 <li>
 Strong copywriting, proofreading, and attention to detail.
 </li>
 <li>
 Comfortable analysing data and turning insights into recommendations.
 </li>
 <li>
 Effective communicator across teams and levels.
 </li>
 <li>
 Creative and adaptable, with an understanding of visual and written brand expression.
 </li>
 <li>
 Strong understanding of social media trends, content formats, and algorithmic impact on performance.
 </li>
 <li>
 Accountable, reliable, and proactive in managing workload and deadlines.
 </li>
 <li>
 Collaborative and team-oriented, with a problem-solving mindset.
 </li>
 <li>
 Curious and eager to learn, with awareness of evolving social and digital trends.
 </li>
 </ul>
 Calm under pressure and capable of managing multiple tasks simultaneously.
 
 
 
 Desirable
 
 <ul>
 <li>
 Experience in paid social or influencer activation.
 </li>
 <li>
 Familiarity with automation, AI, or performance optimisation tools.
 </li>
 <li>
 Basic design or editing capability using tools such as Canva or Adobe Creative Cloud.
 
 
 </li>
 </ul>
 
 💫 What We Offer
 
 
 
 While specific benefits may vary by region due to cultural norms, all team members at Gravity Global can expect a supportive, inclusive, and rewarding environment designed to help you do your best work and grow your career.
 
 
 
 Key aspects of being part of the Gravity Global community:
 
 <ul>
 <li>
 💰
 
 Competitive Reward &amp; Pay &ndash;
 
 we recognise and value your contribution with fair and competitive rewards aligned to local market practices, designed to celebrate excellence and support long-term success.
 </li>
 <li>
 🚀
 
 Career Growth &amp; Development &ndash;
 
 we believe development is ongoing, not annual. Through our Continuous Performance Management (CPM) process, which includes regular feedback and coaching, we help you refine your skills, celebrate your achievements, and plan for future success enabling you to reach your full potential.
 </li>
 <li>
 🤝
 
 Collaboration &ndash;
 
 be part of a cross-functional, global team that values sharing insights, ideas, and best practices to drive collective success.
 </li>
 <li>
 🎓
 
 Professional Development &ndash;
 
 we invest in you through ongoing training and learning programmes designed to expand your expertise and confidence.
 </li>
 <li>
 🌴
 
 Work-Life Balance &ndash;
 
 while we expect dedication to client success, we also value your wellbeing, offering flexible working arrangements and plentiful paid time off.
 </li>
 <li>
 🎉
 
 Community &amp; Recognition &ndash;
 
 we celebrate our people through social and team-building events, recognise length of service and life milestones, and appreciate individual contributions through our Gravity Gratitude &lsquo;kudos&rsquo; recognition programme.
 </li>
 <li>
 👨&zwj;👩&zwj;👧
 
 Family Support &ndash;
 
 we understand family matters and our people benefit from family-friendly policies such as parental leave, and access to wellbeing resources to help you balance work and family life.
 </li>
 <li>
 🌱
 
 Purpose &amp; Belonging &ndash;
 
 we are committed to Environmental, Social and Governance (ESG) principles, fostering a workplace where positive impact matters. Our people are encouraged to get involved in employee resource groups that champion wellbeing, sustainability and culture.
 </li>
 </ul>
 
 Important Disclosure:
 
 
 At Gravity Global, we believe in recognising every team member&rsquo;s contribution. Your total rewards package &ndash; including salary and benefits &ndash; will align with country specific labor laws and our company policies. We&rsquo;ll walk you through all the details during the offer stage.
 
 
 Gravity Global is an equal opportunities employer and we do not discriminate on the basis of sex, race, religion, age, sexuality, disability and other protected status as required by applicable law.
 
 
 If your experience doesn't align perfectly with the job criteria, but you meet some of the criteria and are excited about the role and Gravity, please don't be put off applying! We would encourage you to apply for the role as you may be just the right person for this role or other roles.
 
</div>

Social Media Manager

Hanwha Energy USA

<div>
 
 Company Overview
 
 
 
 
 Hanwha Energy USA
 
 , headquartered in Houston, Texas, is part of the Hanwha Group&mdash;a FORTUNE Global 300 company and one of South Korea&rsquo;s most respected business enterprises. With over a decade of experience delivering high-quality, utility-scale energy projects across North America, Hanwha Energy USA has evolved into a comprehensive energy solutions provider. Our portfolio now spans utility-scale renewables, natural gas generation, retail electricity, and strategic partnerships that power America&rsquo;s growing data center industry.
 
 
 Our expertise covers the entire energy value chain&mdash;from project development and engineering to construction, operations, and maintenance. By integrating advanced technologies, proven processes, and strong partnerships, we deliver reliable, customized solutions that meet the dynamic needs of local energy markets.
 
 
 Hanwha Energy USA Is Actively Advancing Strategic Initiatives In Natural Gas Generation And Data Center Development, Including Hyperscaler Solutions On Both Sides Of The Meter. We Are Proud To Serve As The Parent Company Of
 
 
 <ul>
 <li>
 Hanwha Renewables &ndash; specializing in utility-scale solar and battery energy storage systems (BESS)
 </li>
 <li>
 Chariot Energy &ndash; providing retail electricity services for residential, commercial, and industrial customers in deregulated markets
 
 
 </li>
 </ul>
 
 Position Overview
 
 
 
 The Talent Acquisition Specialist &ndash; AI &amp; Data Center Recruiting is a strategic, full-cycle recruiter responsible for hiring critical technical and leadership talent supporting data center development, AI infrastructure, and hyperscale operations.
 
 
 This Individual Will Bring Direct Experience Recruiting Within Hyperscaler Or Large-scale Data Center Environments, With Deep Understanding Of The Talent Landscape Across
 
 
 <ul>
 <li>
 Data center development &amp; construction
 </li>
 <li>
 AI / HPC infrastructure
 </li>
 <li>
 Hyperscale operations
 </li>
 <li>
 Mission-critical facilities
 
 
 </li>
 </ul>
 You will partner closely with the Talent Acquisition Director, Hiring Managers, and business stakeholders to build high-impact teams that support rapid growth in a highly competitive talent market.
 
 
 The employee may be required to perform other job-related duties as requested by management. All duties will be assigned in accordance with applicable laws and company policies.
 
 
 This role reports to the Director, Talent Acquisition, or another senior leader as designated.
 
 
 
 Responsibilities
 
 
 
 Full-Cycle Recruiting (Technical &amp; Leadership Hiring)
 
 
 <ul>
 <li>
 Lead end-to-end recruiting for complex, high-priority roles across:
 </li>
 <ul>
 <li>
 Data center development (site selection, design, construction)
 </li>
 <li>
 AI infrastructure
 </li>
 <li>
 Data center operations (critical facilities, reliability engineering)
 </li>
 <li>
 Commercial, strategy, and leadership roles
 </li>
 </ul>
 <li>
 Drive strong candidate pipelines in highly competitive, niche markets
 
 </li>
 </ul>
 
 Hyperscaler Talent Market Expertise
 
 
 
 <ul>
 <li>
 Leverage deep knowledge of Hyperscaler talent ecosystems (e.g., AWS, Microsoft, Google, Meta)
 </li>
 <li>
 Build targeted sourcing strategies for:
 </li>
 <ul>
 <li>
 Data center project managers, construction managers, and engineers
 </li>
 <li>
 Electrical, mechanical, and commissioning experts
 </li>
 <li>
 AI infrastructure engineers and specialists
 </li>
 </ul>
 <li>
 Map competitor talent and execute strategic outreach campaigns
 
 </li>
 </ul>
 
 Stakeholder &amp; Hiring Leader Partnership
 
 
 
 <ul>
 <li>
 Act as a trusted advisor on hiring strategy, talent availability, and compensation benchmarks
 </li>
 <li>
 Influence hiring decisions through market insights and data-driven recommendations
 </li>
 <li>
 Partner with leadership on workforce planning and hiring prioritization
 
 
 </li>
 </ul>
 
 Sourcing Strategy &amp; Pipeline Development
 
 
 
 <ul>
 <li>
 Develop proactive sourcing strategies leveraging:
 </li>
 <ul>
 <li>
 Direct sourcing (LinkedIn, referrals, industry networks)
 </li>
 <li>
 Passive candidate engagement
 </li>
 <li>
 Industry events and talent communities
 </li>
 </ul>
 <li>
 Build and maintain pipeline depth for future hiring needs, especially for hard-to-fill roles
 
 </li>
 </ul>
 
 Candidate Experience &amp; Employer Branding
 
 
 
 <ul>
 <li>
 Deliver a white-glove candidate experience aligned with Hyperscaler-level expectations
 </li>
 <li>
 Position the company as a top destination for AI and data center talent
 </li>
 <li>
 Ensure strong communication and engagement across all candidate touchpoints
 
 
 </li>
 </ul>
 
 Data &amp; Recruiting Performance
 
 
 
 <ul>
 <li>
 Track and manage key recruiting metrics:
 </li>
 <ul>
 <li>
 Time-to-fill
 </li>
 <li>
 Offer acceptance rate
 </li>
 <li>
 Pipeline conversion rates
 </li>
 </ul>
 <li>
 Use data to optimize recruiting strategies and hiring outcomes
 
 </li>
 </ul>
 
 Required Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Human Resources, Business, or related field (or equivalent experience)
 </li>
 <li>
 5+ years of experience in technical recruiting, with a strong emphasis on:
 </li>
 <ul>
 <li>
 Data center infrastructure
 </li>
 <li>
 AI environments
 </li>
 <li>
 Hyperscaler or large-scale technology environments
 </li>
 </ul>
 <li>
 Proven success hiring in highly competitive, niche talent markets
 </li>
 <li>
 Prior experience at a Hyperscaler (AWS, Google, Microsoft, Meta) or large data center developer/operator
 </li>
 <li>
 Experience supporting greenfield data center development projects
 </li>
 <li>
 Knowledge of renewable energy + data center convergence
 </li>
 <li>
 Exposure to AI infrastructure buildouts (GPU clusters, advanced computing environments)
 </li>
 <li>
 Experience recruiting for engineering, construction, and mission-critical roles
 </li>
 <li>
 Proficiency in ATS systems and sourcing tools (LinkedIn Recruiter, Greenhouse, etc.)
 </li>
 <li>
 Experience supporting fast-scaling, high-growth organizations
 
 </li>
 </ul>
 
 Required Skills
 
 
 
 <ul>
 <li>
 Deep understanding of data center and AI infrastructure talent markets
 </li>
 <li>
 Strong full-cycle recruiting capabilities across technical and business roles
 </li>
 <li>
 Advanced sourcing and talent mapping skills
 </li>
 <li>
 Ability to influence senior stakeholders and executives
 </li>
 <li>
 Strong business acumen and consultative mindset
 </li>
 <li>
 High level of ownership, urgency, and accountability
 </li>
 <li>
 Excellent communication and candidate engagement skills
 
 
 </li>
 </ul>
 
 COMPENSATION:
 
 $120,000 - $140,000 salary
 
 
 
 Attention external recruitment firms, we will not accept any unsolicited resumes at this time. Please do not contact any internal member of our company to discuss the position or to solicit candidates.
 
 
 
 
 Hanwha Energy USA provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics.
 
 
 
 www.hanwhaenergyusa.com
</div>

Talent Acquisition Specialist – AI & Data Centers

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