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Machine Learning Engineer Jobs in Hammond, LA (NOW HIRING)

NDE Helper

Livingston, LA · On-site

$13.25 - $16.75/hr

With over three decades of experience and backgrounds extending from engineering to welding, Epic ... If you're someone who is committed to continuous learning and personal growth, we'd love to hear ...

With over three decades of experience and backgrounds extending from engineering to welding, Epic ... Set up and adjust machines and equipment. * Recommend or implement measures to motivate employees ...

With over three decades of experience and backgrounds extending from engineering to welding, Epic ... Set up and adjust machines and equipment. * Recommend or implement measures to motivate employees ...

With over three decades of experience and backgrounds extending from engineering to welding, Epic ... Set up and adjust machines and equipment. * Recommend or implement measures to motivate employees ...

With over three decades of experience and backgrounds extending from engineering to welding, Epic ... Set up and adjust machines and equipment. * Recommend or implement measures to motivate employees ...

With over three decades of experience and backgrounds extending from engineering to welding, Epic ... Set up and adjust machines and equipment. * Recommend or implement measures to motivate employees ...

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Machine Learning Engineer information

See Hammond, LA salary details

$26K

$106.1K

$159.5K

How much do machine learning engineer jobs pay per year?

As of Jul 17, 2026, the average yearly pay for machine learning engineer in Hammond, LA is $106,132.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,700.00 and $127,800.00 per year, depending on experience, location, and employer.

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 companies can earn $500,000 or more annually. Compensation typically includes base salary, bonuses, and stock options, especially in tech giants or startups with significant funding.

What do machine learning engineers do?

Machine learning engineers develop algorithms and models that enable computers to learn from data and make predictions or decisions. They often work with large datasets, use programming languages like Python or Java, and utilize tools such as TensorFlow or PyTorch to build, test, and deploy machine learning systems in production environments.

What are Machine Learning Engineers?

Machine Learning Engineers are specialized software engineers who design, build, and deploy machine learning models and systems. They work at the intersection of software engineering and data science, transforming data-driven prototypes into scalable, production-ready solutions. Their responsibilities include data preprocessing, model selection, algorithm implementation, and optimizing models for performance and efficiency. Machine Learning Engineers often collaborate with data scientists, software developers, and other stakeholders to integrate AI technologies into products and services.

What are the key skills and qualifications needed to thrive as a Machine Learning Engineer, and why are they important?

To thrive as a Machine Learning Engineer, you need strong programming skills (particularly in Python), a solid background in mathematics and statistics, and a degree in computer science or a related field. Experience with machine learning frameworks (such as TensorFlow or PyTorch), data processing tools, and cloud platforms is typically required. Problem-solving ability, effective communication, and adaptability are crucial soft skills for collaborating with teams and translating complex models into practical solutions. These competencies ensure the development, deployment, and continual improvement of machine learning systems that drive business value.

Which 5 jobs will survive AI?

Machine Learning Engineers are likely to continue to be in demand as AI advances, as they develop and refine algorithms, models, and systems. Roles that require complex problem-solving, creativity, and domain expertise—such as healthcare professionals, data scientists, software developers, cybersecurity specialists, and AI ethics officers—are also expected to persist due to their reliance on human judgment and specialized knowledge. These jobs often involve skills that are difficult for AI to fully replicate or replace.

What Does a Machine Learning Engineer Do?

A machine learning engineer maintains production systems and often works with other engineers. In this career, you work with software development methodology, use modern software development tools, and use agile practices. You also play a role in software design and architecture, so you may occasionally work with a programmer. An engineer may help to predict how a model should perform or seek out regression issues by using different test types and algorithms. To fulfill your duties and responsibilities, you work on a computer and use an array of skills and programs to carry out these tests.

What engineers make $300,000 a year?

Senior machine learning engineers and data scientists with extensive experience, advanced skills in deep learning, and proficiency with tools like TensorFlow or PyTorch can earn $300,000 or more annually, especially in high-cost-of-living areas or top tech companies. Compensation often includes base salary, bonuses, and stock options, reflecting their expertise and impact on business outcomes.

What are some common challenges faced by Machine Learning Engineers when deploying models to production?

Machine Learning Engineers often encounter challenges such as ensuring model scalability, maintaining data consistency between training and production environments, and monitoring model performance over time. Integrating models into existing software infrastructure may require collaboration with DevOps and software engineering teams to address issues like latency, version control, and resource allocation. Additionally, ongoing model maintenance is crucial to prevent model drift and ensure that predictions remain accurate as new data becomes available.

What is the difference between Machine Learning Engineer vs Data Scientist?

AspectMachine Learning EngineerData Scientist
CredentialsBachelor's or Master's in CS, Data Science, or related; experience with ML frameworksBachelor's or Master's in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentDevelops scalable ML models, deploys algorithms into productionAnalyzes data, builds models, interprets data insights
Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, marketing, research organizations

While both roles work with data and machine learning, Machine Learning Engineers focus on building and deploying scalable ML models in production environments. Data Scientists primarily analyze data, create models, and generate insights. The roles often overlap but differ in their core responsibilities and focus areas.

What cities near Hammond, LA are hiring for Machine Learning Engineer jobs? Cities near Hammond, LA with the most Machine Learning Engineer job openings:
Infographic showing various Machine Learning Engineer job openings in Hammond, LA as of July 2026, with employment types broken down into 89% Full Time, 8% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $106,132 per year, or $51 per hour.
NDE Helper

$13.25 - $16.75/hr

Other

Life, Retirement, PTO

This job post has expired 2 days ago. Applications are no longer accepted.


Epic Piping rating

6.0

Company rating: 6.0 out of 10

Based on 11 frontline employees who took The Breakroom Quiz


Job description

Epic Piping has an exciting opportunity available for a NDE Helper to be an integral part of our Fabrication team. Epic takes pride in our quality of work and has a goal of building our workforce with the most talented employees.  

 WHAT YOU'LL DO:

  •  Assist with nondestructive testing equipment setup. Assist in calibrating nondestructive testing equipment. 
  • Assist in applying testing criteria in accordance with procedures and standards. 
  • Assist in preforming other job-related tasks as assigned by certified inspector/technician. 
  • Ensure compliance with safety and environment guidelines, policies, and regulations. 
  •  Record results of tests andinspection under direct supervision from the training NDE Technician. 
  • Measure dimensions ofdefectsto verify conformance to specifications, using measuring instruments such as rulers, calipers, gauges, or micrometers under direct supervision of training NDE Technician. 
  •  Notify supervisors or other personnel of productionor qualityproblems. 
  • Write test or inspection reports describing results, recommendations, or needed repairs under direct supervision of training NDE Technician. 
  • Compare colors, shapes, textures, or grades of products or materials with color charts, templates, or samples to verify conformance to standards under direct supervision of training NDE Technician. 
  •  Position products, components, or parts for testing. 
  • Stack or arrange tested products for further processing, shipping, or packaging. 
  •  Adjust, clean, or repair products or processing equipment to correct defects found during inspections. 
  • Perform other duties as assigned. 



WHAT YOU'LL NEED:

  • Education: High School Diploma or General Education Degree (GED)  
  • Experience: None specifically required 
  • Computer Skills: None specifically required  
  • Certification/Licenses: None required  

WHAT WE OFFER:

  • Industry-leading training and development programs
  • Competitive insurance and benefit options
  • Company-paid life insurance and long-term disability insurance
  • Paid vacation and holiday time
  • Traditional and Roth 401(k) plans available (50% company match up to 6% contributed by the employee)
  • Career growth opportunities through hands-on training and mentorships
  • Work alongside industry leaders and mentors
  • Training and development programs to help you build the skills and knowledge you need to excel in your role and advance your career.
  • Coaching from experienced leaders who are dedicated to helping you grow and reach your full potential.
  • Opportunities to take on new challenges and responsibilities that will stretch your abilities and expand your horizons.
  • A supportive and collaborative work environment where you are encouraged to share your ideas and contribute to our shared goals.


WHO WE ARE:

Epic Piping is one of the largest privately owned and the fastest-growing pipe fabrication firms in the world. With over three decades of experience and backgrounds extending from engineering to welding, Epic Piping provides unmatched experience servicing the chemical, power, refining, offshore, and oil & gas industries.

At Epic Piping, we believe that investing in our employees is essential to our success. That's why we're looking for motivated individuals who are willing to invest in themselves and their future. As a member of our team, you will have access to:

  • Training and development programs to help you build the skills and knowledge you need to excel in your role and advance your career.
  • Coaching from experienced leaders who are dedicated to helping you grow and reach your full potential.
  • Opportunities to take on new challenges and responsibilities that will stretch your abilities and expand your horizons.
  • A supportive and collaborative work environment where you are encouraged to share your ideas and contribute to our shared goals.

 If you're someone who is committed to continuous learning and personal growth, we'd love to hear from you. Apply now to join our team and invest in your future with us!

As an equal opportunity employer, Epic Piping is committed to the development of its employees and strives to promote an environment that fosters personal training and development.

Epic is committed to maintaining a safe, drug-free workplace. All offers of employment are contingent upon successful results of your background check, drug screening, and work authorization within the United States, in accordance with company policy.



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