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

Infosys Limited Digital

Azure Data Engineer

Dallas, NC · On-site

$99K - $119K/yr

... Machine learning, Data Warehousing Additional Required Qualifications • Bachelor's degree or foreign equivalent required from an accredited institution. Will also consider three years of ...

Infosys Limited Digital

Azure Data Engineer

Dallas, NC · On-site

$99K - $119K/yr

... Data Engineering|Databricks Technical Skills 2 Technology|Big Data - Data Processing|PySpark ... Machine Learning, Data warehousing Additional Required Qualifications • Bachelor's degree or ...

US Conec, Ltd.

Manufacturing Engineer

Hickory, NC

$65K - $84K/yr

... learning environment. * Deliver process and equipment training to production staff as needed ... Working knowledge of machining, tooling, fixturing, and assembly practices to contribute ...

Devoteam

ES- Desarrollador/a .NET

Alexis, NC · On-site

... Marketing Digital, Machine Learning, Ingenieria y desarrollo del Software. Devoteam ha sido ... Mentalidad DevOps + seguridad (control de versiones, CI/CD y desarrollo seguro). VALORABLE:

US Conec, Ltd.

Manufacturing Engineer

Hickory, NC · On-site

$65K - $84K/yr

... learning environment. * Deliver process and equipment training to production staff as needed ... Working knowledge of machining, tooling, fixturing, and assembly practices to contribute ...

Devoteam

ES- Desarrollador/a .NET

Alexis, NC · On-site

... Marketing Digital, Machine Learning, Ingenieria y desarrollo del Software. Devoteam ha sido ... Mentalidad DevOps + seguridad (control de versiones, CI/CD y desarrollo seguro). VALORABLE:

DivIHN Integration Inc

PLC Controls Engineer

Hickory, NC · On-site

$69K - $89K/yr

... after learning Client -specific standards. Key Responsibilities: • Create and modify Allen ... machine control systems. • Interface with external system integrators to successfully deliver ...

Devoteam

Desarrollador/a React (con Ingles)

Alexis, NC

$108K - $136K/yr

Cloud, BI, Data Analytics, Excelencia en Procesos de Negocio, Gestion de la Relacion con clientes, Ciberseguridad, Marketing Digital, Machine Learning, Ingenieria y desarrollo del Software. Devoteam ...

Corning

Automation Process Engineer

Hickory, NC · On-site

$85K - $117K/yr

... learning into clear specifications and requirements for internal teams and suppliers. • ... machine design. Experiences/Education - Desired • Advanced degree in a relevant technical ...

Corning

Automation Process Engineer

Hickory, NC

$85K - $117K/yr

... learning into clear specifications and requirements for internal teams and suppliers. • ... machine design. Experiences/Education - Desired • Advanced degree in a relevant technical ...

Corning

Automation Process Engineer

Hickory, NC

$85K - $117K/yr

... learning into clear specifications and requirements for internal teams and suppliers. • ... machine design. Experiences/Education - Desired • Advanced degree in a relevant technical ...

Corning

Automation Process Engineer

Hickory, NC

$85K - $117K/yr

Translate process learning into clear specifications and requirements for internal teams and ... This role is focused on process development and definition rather than detailed machine design.

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Showing results 1-20

All JobsMachine Learning Engineer JobsMachine Learning Engineer Jobs in Hickory, NC

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 16, 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.

More about Machine Learning Engineer jobs
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 job categories do people searching Machine Learning Engineer jobs in Hickory, NC look for? The top searched job categories for Machine Learning Engineer jobs in Hickory, NC 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:
Machine Learning Engineer jobs near you
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, 4% Hybrid, and 9% Remote job distribution, with an average salary of $115,291 per year, or $55.4 per hour.

Azure Data Engineer

Infosys Limited Digital

Dallas, NC • On-site

$99K - $119K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 5 days ago

Job description

Job details
Job Role
Technology Consultant 1
Career Role
Technology Analyst - US
Work Location
Dallas, TX, Raleigh, NC
State / Region / Province
North Carolina, Texas
Country
USA
Domain
Delivery
Interest Group
Infosys Limited
Company
ITL USA
Requisition ID
150261BR
Technical Skills 1
Technology|Data Engineering|Databricks
Technical Skills 2
Technology|Big Data - Data Processing|PySpark
Technical Skills 3
Foundational|Development process generic|Data Warehousing Development process
Overview
The Infosys Data and Analytics (DNA) unit is at the forefront of transforming data into actionable insights, driving business growth and operational efficiency. We specialize in leveraging advanced AI and analytics to create innovative solutions that address complex business challenges. Our team is dedicated to pioneering the future of data-driven decision-making, enabling organizations to unlock new opportunities and achieve sustainable success. Join us to be part of a dynamic team that is revolutionizing the way businesses harness the power of data and AI. At Infosys DNA, you'll have the opportunity to work with cutting-edge technologies, collaborate with industry experts, and contribute to transformative projects that shape the future of business. We are committed to fostering a culture of continuous learning and growth, ensuring that our team members thrive in a dynamic and supportive environment. If you're passionate about AI and eager to make a significant impact, the Infosys DNA unit is the perfect place for you to grow and excel.
In the assigned Job Role of Technology Consultant 1, your Area Of Responsibility will be as below:
• Assist in conducting targeted interviews and workshops to capture user needs, and ensure accurate documentation of stakeholder requirements
• Participate in design discussions to capture software specifications, and aid in creation of process documentation.
• Develop, refine, and document code for new software applications, following detailed design specifications to meet user requirements
• Execute test plans, analyse outcomes, and report defects to the development team, to facilitate enhancement of software performance
• Support the integration of new software features, facilitating smooth transitions within the existing system infrastructure
• Monitor and troubleshoot live applications, ensuring prompt resolution of issues and creation of comprehensive documentation for ongoing system maintenance
• Systematically document coding practices, testing methodologies, and technical solutions, thereby enriching team's knowledge repository
Your contribution to the team:
• An agile mindset with effective communication and problem-solving skills.
• The ability to work on majority of the areas as part of SDLC lifecycle
• Passion for innovating solutions that drive progress and meet future challenges.
• A proactive approach to monitoring and resolving production issues before they escalate.
• Commitment to continuous learning, knowledge sharing, and fostering team development
Required Skill and Experience
Databricks, Pyspark, SQL
Preferred Skill and Experience
Databricks, Pyspark, Machine learning, Data Warehousing
Additional Required Qualifications
• Bachelor's degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education.
• This position may require relocation and/or travel to work/project location.
• Candidates authorized to work for any employer in the United States without employer-based visa sponsorship are welcome to apply. Infosys is unable to provide immigration sponsorship for this role now or in the future.
Benefits
Along with competitive pay, as a full-time Infosys employee you are also eligible for the following benefits:
  • Medical/Dental/Vision/Life Insurance
  • Long-term/Short-term Disability
  • Health and Dependent Care Reimbursement Accounts
  • Insurance (Accident, Critical Illness , Hospital Indemnity, Legal)
  • 401(k) plan and contributions dependent on salary level
  • Paid holidays plus Paid Time Off
About Us
Infosys is a global leader in next-generation digital services and consulting. We enable clients in more than 50 countries to navigate their digital transformation. With over four decades of experience in managing the systems and workings of global enterprises, we expertly steer our clients through their digital journey. We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem.
EEO
Infosys provides equal employment opportunities to applicants and employees without regard to race; color; sex; gender identity; sexual orientation; religious practices and observances; national origin; pregnancy, childbirth, or related medical conditions; status as a protected veteran or spouse/family member of a protected veteran; or disability.

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