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Remote Mechanical Engineering Machine Learning Jobs in Texas

Confie

Machine Learning Engineer

Addison, TX · On-site +1

$110K - $130K/yr

Flexible work options, including remote and hybrid opportunities, if eligible * Retirement Plan ... and feature engineering using Python Ability to work with multiple data sources and types ...

PTP

Machine Learning Engineer - REMOTE

Austin, TX · On-site +1

We are looking for a Machine Learning Engineer to help us design and deliver CX solutions that provide our clients with a beautiful customer journey that achieves results. At PTP we value aptitude ...

Shipwell

Machine Learning Engineer

Austin, TX · On-site +1

Working closely with engineering, analytics, data science, and product teams, you'll take our machine learning capabilities to the next level. This is a dynamic opportunity to become the expert on ...

Quora

$139K - $168K/yr

Our small engineering team works on challenging problems every day. We have a culture that's rooted ... At Poe, we use Machine Learning in various parts of the product - bot routing, agent flow, code ...

Quora

$139K - $168K/yr

Our small engineering team works on challenging problems every day. We have a culture that's rooted ... At Poe, we use Machine Learning in various parts of the product - bot routing, agent flow, code ...

Quora

$139K - $168K/yr

Our small engineering team works on challenging problems every day. We have a culture that's rooted ... At Poe, we use Machine Learning in various parts of the product - bot routing, agent flow, code ...

Quora

$139K - $168K/yr

Our small engineering team works on challenging problems every day. We have a culture that's rooted ... At Poe, we use Machine Learning in various parts of the product - bot routing, agent flow, code ...

Quora

$139K - $168K/yr

Our small engineering team works on challenging problems every day. We have a culture that's rooted ... At Poe, we use Machine Learning in various parts of the product - bot routing, agent flow, code ...

Quora

$139K - $168K/yr

Our small engineering team works on challenging problems every day. We have a culture that's rooted ... At Poe, we use Machine Learning in various parts of the product - bot routing, agent flow, code ...

Quora

$139K - $168K/yr

Our small engineering team works on challenging problems every day. We have a culture that's rooted ... At Poe, we use Machine Learning in various parts of the product - bot routing, agent flow, code ...

Quora

$139K - $168K/yr

Our small engineering team works on challenging problems every day. We have a culture that's rooted ... At Poe, we use Machine Learning in various parts of the product - bot routing, agent flow, code ...

Quora

$139K - $168K/yr

Our small engineering team works on challenging problems every day. We have a culture that's rooted ... At Poe, we use Machine Learning in various parts of the product - bot routing, agent flow, code ...

Quora

$139K - $168K/yr

Our small engineering team works on challenging problems every day. We have a culture that's rooted ... At Poe, we use Machine Learning in various parts of the product - bot routing, agent flow, code ...

Quora

$139K - $168K/yr

Our small engineering team works on challenging problems every day. We have a culture that's rooted ... At Poe, we use Machine Learning in various parts of the product - bot routing, agent flow, code ...

Quora

$139K - $168K/yr

Our small engineering team works on challenging problems every day. We have a culture that's rooted ... At Poe, we use Machine Learning in various parts of the product - bot routing, agent flow, code ...

Quora

$139K - $168K/yr

Our small engineering team works on challenging problems every day. We have a culture that's rooted ... At Poe, we use Machine Learning in various parts of the product - bot routing, agent flow, code ...

Quora

$139K - $168K/yr

Our small engineering team works on challenging problems every day. We have a culture that's rooted ... At Poe, we use Machine Learning in various parts of the product - bot routing, agent flow, code ...

Quora

$139K - $168K/yr

Our small engineering team works on challenging problems every day. We have a culture that's rooted ... At Poe, we use Machine Learning in various parts of the product - bot routing, agent flow, code ...

Quora

$139K - $168K/yr

Our small engineering team works on challenging problems every day. We have a culture that's rooted ... At Poe, we use Machine Learning in various parts of the product - bot routing, agent flow, code ...

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All JobsMechanical Engineering Machine Learning JobsRemote Mechanical Engineering Machine Learning JobsRemote Mechanical Engineering Machine Learning Jobs in Texas

Remote Mechanical Engineering Machine Learning information

What is the difference between Remote Mechanical Engineering Machine Learning vs Remote Mechanical Engineering?

AspectRemote Mechanical EngineeringRemote Mechanical Engineering Machine Learning
Required CredentialsBachelor's or Master's in Mechanical EngineeringBachelor's or Master's in Mechanical Engineering; knowledge of Machine Learning
Work EnvironmentDesign, analysis, CAD modeling, testingDesign, analysis, CAD modeling with ML integration, data analysis
Industry UsageManufacturing, automotive, aerospaceManufacturing, automotive, aerospace with AI/ML applications
Common Search/ComparisonYesYes

Remote Mechanical Engineering involves traditional engineering tasks like design and analysis, while Remote Mechanical Engineering Machine Learning combines these with AI techniques to optimize processes and develop intelligent systems. The latter requires additional knowledge of machine learning but shares many core skills and industry applications.

What is a Remote Mechanical Engineering Machine Learning job?

A Remote Mechanical Engineering Machine Learning job combines mechanical engineering expertise with machine learning techniques, allowing professionals to develop intelligent systems and optimize mechanical processes from a remote location. These roles often involve tasks such as analyzing engineering data, building predictive models, automating design tasks, and enhancing product performance using AI algorithms. Working remotely, engineers collaborate with teams through digital platforms, contributing to research, development, and deployment of machine learning solutions in mechanical engineering applications.

What are some typical challenges faced by remote mechanical engineers working with machine learning, and how can they be managed?

Remote mechanical engineers who work with machine learning often face challenges such as effective cross-functional collaboration, accessing and sharing large datasets, and keeping communication clear across distributed teams. To manage these, it's important to leverage collaborative tools for version control, data management, and regular virtual meetings. Building strong communication habits and proactively seeking feedback from data scientists, software engineers, and other stakeholders will help ensure project alignment and smooth workflows.
What are the most commonly searched types of Mechanical Engineering Machine Learning jobs in Texas? The most popular types of Mechanical Engineering Machine Learning jobs in Texas are:
What are popular job titles related to Remote Mechanical Engineering Machine Learning jobs in Texas? For Remote Mechanical Engineering Machine Learning jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Remote Mechanical Engineering Machine Learning jobs in Texas look for? The top searched job categories for Remote Mechanical Engineering Machine Learning jobs in Texas are:
What cities in Texas are hiring for Remote Mechanical Engineering Machine Learning jobs? Cities in Texas with the most Remote Mechanical Engineering Machine Learning job openings:
Remote Mechanical Engineering Machine Learning jobs near you
Machine Learning Engineer

Machine Learning Engineer

Confie

Addison, TX • On-site, Remote

$110K - $130K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 14 days ago

Job description

Pay Range:
  • $110000 - $130000 / year

Our Perks & Benefits:_
  • Comprehensive benefits package including medical, dental, vision, and life insurance
  • Performance-based bonuses to reward your contributions*
  • Paid time off to recharge and maintain a healthy work-life balance
  • Flexible work options, including remote and hybrid opportunities, if eligible
  • Retirement Plan (401k) with company-matched contributions
  • Education Advancement, for employees and qualified dependents, via the Confie Enablement Scholarship Fund
  • Fitness Reimbursement - up to $15/month for gym memberships
  • Inclusive workplace through a strong commitment to Diversity, Equity, and Inclusion
  • Employee Assistance Program - confidential support for personal or professional challenges, at no cost
  • Extra Perks - optional plans for disability, hospital indemnity, health advocate program, universal life, critical illness, accident insurance, and even pet insurance

Purpose
Work under the guidance and supervision of the Director, Enterprise Architecture to build supervised and unsupervised Artificial Intelligence (AI)/Machine Learning (ML) models
Essential Duties & Responsibilities
Research, analyze, support, and implement machine learning solutions on the Snowflake Cloud data warehouse platform using the Snowpark framework
Develop novel solutions using knowledge of the latest artificial intelligence/machine learning/natural language processing techniques and rigorous statistical analysis
Utilize LLMs and Generative AI to provide software automation capability integrations
Build and operationalize Retrieval Augmented Generation (RAG) frameworks
Enhance, develop, and deploy production-level machine learning models and algorithms that will improve Confie's business outcome/customer experience
Perform data cleansing, analysis, and feature engineering using Python
Ability to work with multiple data sources and types (structured/semi-structured/unstructured)
Assess the effectiveness and accuracy of new data sources and execute data-wrangling techniques
Participate and support other teams, as needed, for all aspects of model development, including design, model implementation, validation, calibration, documentation, product implementation, monitoring, and reporting
Communicate technical results in a clear, concise, and effective manner with emphasis on data visualization techniques
Collaborate with Data Scientists, Data Engineers, and Data Architects on production systems and applications
Stay up-to-date with industry trends and advancements in artificial intelligence/machine learning
On call support
Qualifications and Education Requirements
Master's degree in a quantitative/applied field (Engineering, Computer Science, Data Science, Operations Research, Mathematics, Statistics, Econometrics)
Expertise in manipulating and analyzing large data (e.g. exploratory analysis, model fitting, and visualization)
Proficient SQL skills and experience working with large data sets (big data, IoT data)
Proficient with programming and modeling using Python
Knowledge of modeling in pre-training & fine tuning foundation LLM models
Knowledge of LangChain and sentence transformer frameworks
Knowledge of ChatGPT4 (or comparable models)
Experience applying current machine learning techniques
Knowledge of evolving data science concepts and best practices
Other Duties
This job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.
Notice
As permitted by applicable law and from time-to-time, Confie may use a computer system that has elements of artificial intelligence to help make decisions about your employment, including recruitment, hiring, renewal of employment, or the terms and conditions of your employment. Employees with questions about Confie's use of these computer systems should contact Human Resources at employeerelations@confie.com
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws.
For further information, please review the Know Your Rights notice from the Department of Labor.
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About Confie

Sourced by ZipRecruiter

Industry

Insurance services

Company size

1,001 - 5,000 Employees

Headquarters location

Huntington Beach, CA, US

Year founded

2008

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