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Machine Learning Engineer Opt Jobs in South Carolina

Software Engineer II

Clinton, SC ยท On-site

$92K - $126K/yr

The Software Engineer II designs, develops, tests, and documents software for embedded systems and ... Experience with machine learning, data analytics, or artificial intelligence applications.

A minimum of 6 years of experience in software engineering, data engineering, or machine learning engineering is required. This must include 3 years of experience in data science or artificial ...

We're looking for engineers fluent in modern AI application development - agent frameworks, harnesses, tool use, prompting, retrieval, and evaluation - not machine learning engineers. You will be ...

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

US Tech - AI Engineering Manager

Columbia, SC ยท On-site

$73K - $244K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

Title: AI Cyber Security Engineer Location: Columbia, SC ( Hybrid 3 days per week in office ... Apply adversarial machine learning to detect synthetic attacks that mimic legitimate behavior.

Posted today

AI Engineer

Fort Mill, SC ยท On-site

$75 - $85/hr

A minimum of 6 years of experience in software engineering, data engineering, or machine learning engineering is required. This must include 3 years of experience in data science or artificial ...

New

... machine learning algorithms and predictive modeling techniques - Collaborating with clients to validate outcomes and incorporate feedback into data solutions - Directing teams through complex ...

... machine learning algorithms and predictive modeling techniques - Collaborating with clients to validate outcomes and incorporate feedback into data solutions - Directing teams through complex ...

$118K - $130K/yr

This role combines advanced data science, artificial intelligence, machine learning, and ... engineers, logisticians, and leadership. * Ensure all data management and analysis activities ...

Bachelor's degree in Computer Science, Software Engineering, Data Science, AI, or related technical discipline. * 6+ years of experience in software engineering, AI engineering, machine learning ...

Showing results 41-60

Machine Learning Engineer Opt information

What is a machine learning engineer?

Machine Learning Engineers are specialized software engineers who design, build, and deploy machine learning models into production environments. They work at the intersection of software engineering and data science, transforming data-driven prototypes into scalable, reliable systems that organizations can use to make predictions or automate tasks. Their responsibilities include data preprocessing, choosing appropriate algorithms, model training, and ensuring the model's performance in real-world applications. Machine Learning Engineers often collaborate with data scientists, data engineers, and product teams to deliver intelligent solutions.

What are some common challenges machine learning engineers face when deploying models to production environments?

Machine Learning Engineers often encounter challenges such as ensuring model scalability, handling data drift, and integrating models seamlessly with existing systems when deploying to production. Monitoring model performance in real time and retraining models as new data becomes available are also critical tasks. Collaboration with data engineers and DevOps teams is essential to address infrastructure and deployment hurdles while maintaining model accuracy and reliability.

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 a solid background in mathematics, statistics, and programming (especially Python), typically supported by a degree in computer science, engineering, or a related field. Familiarity with machine learning frameworks (such as TensorFlow, PyTorch), data processing tools, and cloud platforms, along with relevant certifications, is highly valuable. Strong problem-solving ability, collaboration, and effective communication are standout soft skills in this role. These skills and qualities ensure the successful development, deployment, and integration of machine learning solutions that drive business value.

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

AspectMachine Learning Engineer OptData Scientist
Required CredentialsBachelor's or Master's in CS, AI, or related fields; certifications in ML toolsBachelor's or Master's in CS, Statistics, or related fields; data analysis certifications
Work EnvironmentDevelops, tests, and deploys ML models in production systemsAnalyzes data, builds models, and provides insights for decision-making
Employer & Industry UsageTech companies, AI startups, e-commerce, financeResearch institutions, tech firms, consulting, finance
Common Search & ComparisonOften compared for technical skills and deployment focusCompared for data analysis and business insights

Machine Learning Engineers Opt focus on deploying scalable ML models in production environments, while Data Scientists primarily analyze data and develop models for insights. Both roles require strong technical skills, but their core responsibilities differ in application and deployment.

What cities in South Carolina are hiring for Machine Learning Engineer Opt jobs?

Cities in South Carolina with the most Machine Learning Engineer Opt job openings:

Software Engineer II

Nordsonhcm

Clinton, SC โ€ข On-site

$92K - $126K/yr

Full-time

Re-posted 7 days ago


Job description

Nordson Industrial Coating Solutions, a global leader in Industrial Coating Solutions, is seeking an experienced and highly motivated individual to join our team. We are committed to creating a diverse and inclusive workplace, and we are looking for candidates who share that same commitment.

Summary of the role

As a member of our team, you will have the opportunity to work in a dynamic and collaborative environment, where your ideas and contributions will be valued and respected.

The Software Engineer II designs, develops, tests, and documents software for embedded systems and industrial controllers. This role supports industrial network communications, real-time operating systems, product performance, and system functionality. The position also contributes to the evaluation and implementation of artificial intelligence and machine learning technologies that improve industrial automation, diagnostics, predictive maintenance, and operational efficiency.

Essential Job Duties and Responsibilities

  • Design, develop, test, and maintain software applications for embedded systems and industrial controllers.
  • Participate in product architecture, design reviews, and technical discussions throughout the development lifecycle.
  • Support hardware integration, product testing, verification, and validation activities.
  • Troubleshoot software and system issues during development, launch, installation, and field support.
  • Create and maintain software specifications, technical documentation, and build procedures.
  • Evaluate and implement software technologies, including AI/ML and data-driven solutions, to improve product functionality, diagnostics, and operational performance.
  • Collaborate with cross-functional teams to support product innovation and continuous improvement.
  • Perform other duties as assigned.

Education and Experience Requirements

  • Bachelor's degree in Computer Science, Electrical Engineering, or a related field required.
  • 6-10 years of embedded software development experience in an industrial or regulated environment.
  • Demonstrated experience owning complex software components or subsystems.

Skills and Abilities

The ideal candidate is a detail-oriented, self-motivated software engineer with strong analytical, communication, and organizational skills. This individual can manage multiple priorities, collaborate across teams, and work independently in a dynamic environment. Candidates should demonstrate sound engineering judgment, strong problem-solving skills, and a continuous learning mindset.

Required

  • Bachelor's degree in Computer Science, Software Engineering, Electrical Engineering, or a related field.
  • Minimum of 2 years of software development experience using C/C++.
  • Experience developing software for embedded systems or real-time operating systems.
  • Experience with Linux-based operating systems.
  • Strong understanding of the software development lifecycle, including debugging, testing, and version control.
  • Experience working in collaborative development environments using Git, code reviews, automated testing, and continuous integration practices.

Preferred

  • Experience with machine learning, data analytics, or artificial intelligence applications.
  • Experience implementing, integrating, or deploying AI/ML models or services within software applications.
  • Experience developing software using Python.
  • Experience with AI/ML frameworks such as TensorFlow, PyTorch, scikit-learn, or ONNX.
  • Familiarity with AI-assisted software development tools such as GitHub Copilot, Microsoft Copilot, or similar technologies.
  • Experience applying AI/ML techniques to industrial automation, diagnostics, predictive maintenance, anomaly detection, or process optimization.
  • Ability to identify practical AI/ML solutions that improve product functionality, engineering productivity, system reliability, or customer outcomes.

Skills and Abilities

  • Knowledge of software engineering best practices for AI-enabled applications, including model evaluation, validation, monitoring, security, and responsible AI use.
  • Ability to analyze complex data and apply data-driven problem-solving techniques.
  • Interest in emerging AI, automation, and software development technologies.
  • Excellent written and verbal communication skills.
  • Strong critical thinking and problem-solving skills.
  • Methodical, process-oriented approach to work.
  • Ability to manage multiple projects and priorities.
  • Strong organizational skills.

Working Conditions and Physical Demands

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed above are representative of the knowledge, skill, and/or ability required. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions.

Travel Required

Minimal _10_%

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Interested?

If you are interested in being a part of a team and creating an inclusive and diverse workplace, please apply online with your CV.

About Nordson Industrial Coating Solutions

Manufacturers rely on Nordson Industrial Coating Solutions equipment for the precise application and curing of powder coatings, liquid paint, ambient temperature adhesives and sealants, and food and beverage container production. By joining our team today, you will help us bring innovative ideas to life. Nordson Industrial Coating Solutions is a global team that works to create industrial coating solutions that help our customers improve their manufacturing process, produce better products and become even more competitive. We offer a supportive culture in a growing and dynamic work environment. Whether you're just beginning your career or you're a seasoned professional, there's a place for you to belong at Nordson Industrial Coating Solutions. We offer hourly and salary positions in production, maintenance, customer service, quality, engineering, and more. We actively invest in our teams to help you build your skillsets and advance your career.