1

Weekend Machine Learning Jobs in Highlands, TX (NOW HIRING)

AI Data Scientist Description - About the Position The HP Enterprise AI & Machine Learning organization is a centralized team of data scientists and machine learning engineers building GenAI-based ...

Diverse Lynx is seeking an experienced AI/ML Software Engineer to design, develop, and deploy scalable AI and Machine Learning solutions. The ideal candidate will collaborate with product managers ...

Develop, test, and deploy machine learning models to support decision making and optimize business processes * Design and conduct experiments (e.g. A/B testing) to validate hypotheses and measure ...

AI & Data Analytics

Spring, TX · On-site

$101K - $122K/yr

Responsibilities : • Demonstrates proficiency in designing, developing, and deploying machine learning models (e.g., regression, classification, ensemble methods) to address complex analytical ...

New

... machine learning models in production • Proficiency in programming languages like Python for model development, experimentation, and integration with OpenAI API • Experience with machine learning ...

AI Data Engineer - Manager

Houston, TX · On-site

$109K - $131K/yr

Lead the development of AI models (e.g., machine learning, natural language processing, computer vision) and implement scalable AI solutions. Collaboration and Stakeholder Engagement * Collaborate ...

Data Engineer

Houston, TX · On-site

$80/hr

Implement ETL processes, optimize database performance, and ensure data quality and accessibility for analytics and machine learning applications. $80.00 / hr LI23 LILive24 Company Description ...

Software Engineer in Data Science

Houston, TX · On-site

$109K - $131K/yr

The individual will work both with our data scientists and machine learning engineers but will also need to directly engage with the commercial teams (across trading, operations, support functions ...

Software Engineer in Data Science

Houston, TX · On-site +1

$109K - $131K/yr

The individual will work both with our data scientists and machine learning engineers but will also need to directly engage with the commercial teams (across trading, operations, support functions ...

Software Engineer in Data Science

Houston, TX · On-site +1

$109K - $131K/yr

The individual will work both with our data scientists and machine learning engineers but will also need to directly engage with the commercial teams (across trading, operations, support functions ...

... machine learning algorithms or statistical models to automatically identify and filter out scanning noise and false positives; - Establish a unified data delivery structure and dashboards to drive ...

... machine learning algorithms or statistical models to automatically identify and filter out scanning noise and false positives; - Establish a unified data delivery structure and dashboards to drive ...

The Opportunity As part of the Operations Consulting team, you will apply advanced data science and machine learning techniques to large-scale claims, clinical, and member data to surface actionable ...

next page

Showing results 1-20

Weekend Machine Learning information

What engineers make $500,000?

Senior machine learning engineers with extensive experience, advanced skills in deep learning and data science, and often working in high-demand industries or at large tech companies can earn $500,000 or more annually. Compensation may include base salary, bonuses, and stock options, especially in competitive markets or executive-level roles.

Which 3 jobs will survive AI?

Jobs that require complex human interaction, creativity, and critical thinking, such as machine learning engineers, healthcare professionals, and skilled tradespeople, are more likely to survive AI automation. These roles often involve nuanced decision-making, emotional intelligence, and hands-on skills that are difficult for AI to replicate. Continuous learning and adaptability are essential for job security in an evolving AI landscape.

What jobs pay $2000 a day?

High-paying jobs that can pay $2000 a day often include specialized roles such as senior consultants, freelance software developers, or certain executive positions. These roles typically require advanced skills, extensive experience, and sometimes certification, and they may involve project-based or contract work with high hourly or daily rates.

What is a $900,000 AI job?

A $900,000 AI job typically refers to high-level roles such as senior machine learning engineers, AI research directors, or chief AI officers, often in large tech companies or specialized firms. These positions usually require advanced skills in machine learning, deep learning, and data science, along with extensive experience and sometimes advanced degrees or certifications. Compensation at this level often includes base salary, bonuses, and stock options, reflecting the role's seniority and impact.
What are the most commonly searched types of Machine Learning jobs in Highlands, TX? The most popular types of Machine Learning jobs in Highlands, TX are:
What cities near Highlands, TX are hiring for Weekend Machine Learning jobs? Cities near Highlands, TX with the most Weekend Machine Learning job openings:
AI Data Scientist

$130K - $205K/yr

Full-time

Medical, Dental, Vision, Life, PTO

Posted 13 days ago


HP rating

7.7

Company rating: 7.7 out of 10

Based on 43 frontline employees who took The Breakroom Quiz

60th of 139 rated electronics manufacturers


Job description

AI Data Scientist

Description -

About the Position
The HP Enterprise AI & Machine Learning organization is a centralized team of data scientists and machine learning engineers building GenAI-based tools and digital products that enable increased productivity for 50,000+ employees and improve the effectiveness of hundreds of critical business processes. We collaborate closely with business stakeholders across HP to scope, prototype, and develop models and products in the cloud and on the edge. We also serve as HP's AI Center of Excellence, providing consulting assistance, reuseable components and frameworks, and training to other teams across the company.

As a Data Scientist focused on Generative AI, you will work across multiple HP projects involving large language and multi-model models and other cutting-edge Generative AI capabilities for deployment on the cloud or edge. In addition to working with our core technical team, you'll collaborate with business stakeholders and across various units to develop and deploy solutions at scale. Your primary focus and mindset will be on delivering real business value to our internal customers. Please note, this is not a research role.


Responsibilities

Delivers Generative AI-based models of high complexity to surface insights; drives action, defines success measures and tracks performance of models.

Develops monitoring metrics to reflect real-world model performance and makes recommendations to shape the future direction of models and digital solutions.
Strategizes models to uncover patterns and predictions creating business value and innovation.
Manages relationships with business partners to evaluate and foster data driven innovation, provides domain-specific expertise in cross-organization projects/initiatives.
Ties insights into effective visualizations communicating business value and innovation potential.
Works with development teams and business units to ensure models are scalable and can be implemented as part of the delivered solution.
Leads project team(s) of data science professionals, assuring insights are communicated regularly and effectively, reviewing designs, models and data compliance.
Represents the data science team for all phases of larger and more-complex development projects.
Provides guidance, training and mentoring to less experienced staff members.
Education & Experience Recommended

  • PhD related to AI or a Master's degree in computer science or a related field and 5+ years of experience with GenAI and related technologies including machine learning. data analytics, and statistical modeling.


Preferred Certifications
Programming Language/s Certification (SQL, Python, or similar)
Knowledge & Skills

  • Strong foundation in data science and core machine learning concepts.

  • Experience with large language models, multi-modal modals, prompt engineering, vector databases, Retrieval-Augmented Generation (RAG), and search engines.

  • Solid technical background. Experience working on software development teams, especially in cloud-based business applications, is a strong plus.

  • Familiarity with tools such as Azure Machine Learning, Azure Prompt Flow, Python, LangChain, Streamlit, and Docker.

  • Experience working in distributed, diverse teams, with bonus points for time spent in small fast-paced start-ups.

  • Comfortable representing the team in meetings with multiple stakeholders and driving discussions clearly and respectfully. Mastery of English is required.

  • Able to explain technical concepts (e.g., LLMs) to non-technical audiences.

  • You suggest pragmatic solutions that are as simple as possible-even if that means no AI is required.


The base pay range for this role is $130,700 to $205,200 annually with additional opportunities for pay in the form of bonus and/or equity (applies to US candidates only). Pay varies by work location, job-related knowledge, skills, and experience.

Benefits:

HP offers a comprehensive benefits package for this position, including:

Health insurance

Dental insurance

Vision insurance

Long term/short term disability insurance

Employee assistance program

Flexible spending account

Life insurance

Generous time off policies, including;

  • 4-12 weeks fully paid parental leave based on tenure
  • 11 paid holidays
  • Additional flexible paid vacation and sick leave (US benefits overview)

The compensation and benefits information is accurate as of the date of this posting. The Company reserves the right to modify this information at any time, with or without notice, subject to applicable law.

Job -

Data & Information Technology

Schedule -

Full time

Shift -

No shift premium (United States of America)

Travel -

Relocation -

Equal Opportunity Employer (EEO) -

HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s).

Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence.

For more information, review HP'sEEO Policy or read about your rights as an applicant under the law here: "Know Your Rights: Workplace Discrimination is Illegal"


What HP employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


HP logo

About HP

Sourced by ZipRecruiter

HP is a technology company that operates in more than 170 countries around the world united in creating technology that makes life better for everyone, everywhere. From the boardroom to factory floor, we create a culture where everyone is respected and where people can be themselves, while being a part of something bigger than themselves. We celebrate the notion that you can belong at HP and bring your authentic self to work each and every day. When you do that, you're more innovative and that helps grow our bottom line. Our history: HP's commitment to diversity, equity and inclusion - it's just who we are. From the boardroom to factory floor, we create a culture where everyone is respected and where people can be themselves, while being a part of something bigger than themselves. We celebrate the notion that you can belong at HP and bring your authentic self to work each and every day. When you do that, you're more innovative and that helps grow our bottom line.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Palo Alto, CA, US

Year founded

1939