1

Machine Learning Engineer Jobs in Hickory, NC (NOW HIRING)

Leverage knowledge of mechanical engineering, machining & designing processes to improve ... e-Learning/Training, Business Intelligence, and Cloud Solutions. A leader in contingent and ...

The Innovation Engineer is responsible for leading the identification, development, qualification and implementation of new, innovative products and technology to drive significant business results ...

The Innovation Engineer is responsible for leading the identification, development, qualification and implementation of new, innovative products and technology to drive significant business results ...

Prototyping Engineer

Hickory, NC · On-site

$81K - $112K/yr

Role Purpose Design engineer with focus on designing, building, or coordinating prototypes for optical connectivity solutions for fiber optic networks. Develop knowledge of materials, fundamentals of ...

Role Purpose Design engineer with focus on designing, building, or coordinating prototypes for optical connectivity solutions for fiber optic networks. Develop knowledge of materials, fundamentals of ...

Prototyping Engineer

Hickory, NC · On-site

$81K - $112K/yr

Role Purpose Design engineer with focus on designing, building, or coordinating prototypes for optical connectivity solutions for fiber optic networks. Develop knowledge of materials, fundamentals of ...

The Innovation Engineer is responsible for leading the identification, development, qualification and implementation of new, innovative products and technology to drive significant business results ...

Senior Mining Engineer

Kings Mountain, NC

$101K - $138K/yr

This will include mining engineering functional support through the various study phases, operational readiness, and the execution phase of the project. The role will transition from the study team ...

Our expertise also includes designing and building automated production machinery. HSM products ... Basic understanding of robot programming and teach pendant operation * Ability to read schematics ...

Sr IMS-SCADA Engineer

Hickory, NC · On-site

$101K - $139K/yr

Serve as a Sr. IMS Engineer within the Corning Optical Communications Division Engineering team, responsible for the design, deployment, and support of manufacturing and data systems. This role ...

Serve as a Sr. IMS Engineer within the Corning Optical Communications Division Engineering team, responsible for the design, deployment, and support of manufacturing and data systems. This role ...

Serve as a Sr. IMS Engineer within the Corning Optical Communications Division Engineering team, responsible for the design, deployment, and support of manufacturing and data systems. This role ...

Sr. Prototyping Engineer

Hickory, NC

$93K - $128K/yr

Scope of Position: • Project and Design engineer focused on designing, building, or coordinating prototypes for optical connectivity solutions for fiber optic networks. • Develop knowledge of ...

Sr. Prototyping Engineer

Hickory, NC

$93K - $128K/yr

Project and Design engineer focused on designing, building, or coordinating prototypes for optical connectivity solutions for fiber optic networks. Develop knowledge of materials, fundamentals of ...

Senior R&D Engineer

Hickory, NC

$93K - $128K/yr

SUMMARY OF POSITION The Senior Scientist/Engineer will work with New Product Development (NPD) teams to study the structure and properties of pressure sensitive adhesives and how the manufacturing ...

Showing results 41-60

Machine Learning Engineer information

See Hickory, NC salary details

$28.2K

$115.3K

$173.2K

How much do machine learning engineer jobs pay per year?

As of Jul 31, 2026, the average yearly pay for machine learning engineer in Hickory, NC is $115,291.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,900.00 and $138,800.00 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 are the most commonly searched types of Machine Learning Engineer jobs in Hickory, NC? The most popular types of Machine Learning Engineer jobs in Hickory, NC are:
What are popular job titles related to Machine Learning Engineer jobs in Hickory, NC? For Machine Learning Engineer jobs in Hickory, NC, the most frequently searched job titles are:
What cities near Hickory, NC are hiring for Machine Learning Engineer jobs? Cities near Hickory, NC with the most Machine Learning Engineer job openings:
Infographic showing various Machine Learning Engineer job openings in Hickory, NC as of July 2026, with employment types broken down into 89% Full Time, 7% Part Time, and 4% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $115,291 per year, or $55.4 per hour.

Mechanical Technician III

Compunnel, Inc.

Hickory, NC • On-site

$31/hr

Full-time

Posted 22 days ago


Job description

JOB SUMMARY This position is in the Engineering Project and is focused on capacity additions and the associated line installations & debug from a mechanical perspective. Lead and/or participate on manufacturing engineering projects and support teams for the purposes of capacity installations, equipment debug, and preparing line/associated parts for Operations Receivership. As a supporting team member, provide mechanical discipline to proactively identify technical problems through root cause understanding coupled with robust industrialized solutions relative to line debug and installs. Leverage knowledge of mechanical engineering, machining & designing processes to improve performance of equipment/manufacturing process. Support the development and execution of project plans to deliver timely error-free mechanical support for multi-line equipment installations Experienced with working along-side vendors and suppliers to resolve technical issues to protect scope, timing and cost metrics. Ability to work across various functional groups on a daily basis to accomplish goals Key Responsibilities Maintain safe work practices, inform others of hazardous conditions or personal practices as expressed on project team. Manage installation and debugging activities to meet milestone & timeline objectives for successful capacity adds. Design & implement mechanical solutions and process changes to improve capability of manufacturing equipment. Solve mechanical and process issues through data analysis, experience, and collaboration with subject matter experts Manage spare part identification and storeroom entry as recommended by suppliers or peer engineers; noting available spares within (2)-plant footprint. Develop and update engineering and operations documentation. Support training for operations workforce regarding equipment or operations changes Perform advanced troubleshooting, diagnosis, and repair of mechanical systems, equipment, and machinery (e.g., pumps, motors, conveyors, hydraulics, pneumatics, etc.). Align, test, and calibrate mechanical systems after installation. Diagnose complex mechanical failures and recommend effective solutions. Interpret blueprints, schematics, and technical manuals to support troubleshooting and repair activities. Identify opportunities to improve equipment reliability, efficiency, and safety. Collaborate with other departments to implement process improvements. Required Qualifications Required Education: Associates degree Required Years and Area of Experience: 3+ years’ experience in new equipment installations in manufacturing environment. Start-up experiences a plus Experience in fast-paced changing environment with multiple priorities Required Skills: Ability to learn new technology and processes quickly Strong technical fundamentals with mechanical engineering skills Ability to multitask and prioritize work on an independent basis in a fast-paced project install manufacturing environment. Proficient with PC software including Microsoft Office Suite Strong communication skills Expertise in mechanical systems such as hydraulics, pneumatics, bearings, gear systems, and conveyor systems. Ability to read and interpret technical drawings, blueprints, and schematics. Proficiency in using hand tools, power tools, and diagnostic equipment. Strong problem-solving, analytical, and critical-thinking skills. Knowledge of safety regulations and practices in an industrial setting. Basic computer skills for maintaining records and using CMMS (Computerized Maintenance Management Systems). Certifications Relevant mechanical or industrial certifications (e.g., Millwright, HVAC, or Welding) are a plus. OSHA or other safety certifications may be required. Preferred Qualifications Hands on experience in commercial manufacturing equipment Project leadership/management experience (including milestone management and financial ownership) Experience in vendor/supplier management on-site/off-site Experience with CAD Detail oriented and able to perform with limited supervision. Ability to work & effectively collaborate within a team Ability to allocate/supervise resources to accomplish aggressive project milestones & timeline within specification and costs. Able to shift tasks quickly Able to prioritize and multitask Communicate effectively both verbal and written Education: Associate's Degree

Company Description

Compunnel Inc., established in 1994; is a leading provider of Staffing, IT/Software, e-Learning/Training, Business Intelligence, and Cloud Solutions. A leader in contingent and permanent workforce solutions, we also provide temp-to-hire staffing, project-based/SOW staffing, and payroll services to our esteemed clientele which includes Fortune 500 companies of diverse industry segments. Ranked as one of the largest staffing firms in the US which is our primary service market; we also have a significant presence in Europe and Asia. As a national service provider in the US, we are serving our customers all major states and regions; thereby generating numerous job opportunities for prospective employees in their preferred locations of choice.
We have witnessed multi-fold YOY growth, and continuously adding a large pool of talented resources to our employee base every year. Our extensive experience in hiring professionals of multiple in-demand skill sets (IT, Engineering, Healthcare, Admin-Clerical, Finance, Professional, Light Industrial, etc.) further makes Compunnel a wider and preferred platform for people to pursue their careers in the US. We welcome people from all walks of life and cultures, and we support workforce diversity by providing equal employment opportunities to people without any discrimination based on race, color, gender, religion, national/ethnic region, disability, or any other basis.

Compunnel logo

About Compunnel

Sourced by ZipRecruiter

Compunnel is a well-known company located in Plainsboro, NJ, US, recognized in the industry of IT Services and Solutions. Established in 1989, Compunnel offers a suite of services that help businesses integrate technology efficiently into their operations, a recognizable name in the IT solutions sphere for over three decades. The company’s service portfolio includes Digital Transformation, Business Intelligence, Cloud Services, Cybersecurity, and Application Modern Services, among others. Guided by its mission "to innovate with industry-leading digital solutions and disruptive tech strategies for unimagining business growth," the company underlines its commitment to offering out-of-the-box solutions to its clients. Remarkable achievements of the company include serving more than 30 Fortune 500 companies and providing job opportunities for over 50,000 individuals.

Industry

It services

Company size

501 - 1,000 Employees

Headquarters location

Plainsboro, NJ, US

Year founded

1994

Social media