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Machine Learning Engineer Opt Jobs in Anderson, SC

... AI, machine learning, and advanced data analytics to support next-level solutions. You'll ... Bachelor's or equivalent degree in Electrical Engineering * Proficient in Electrical power system ...

Python Tutor

Greenville, SC · Remote

$18 - $40/hr

Emphasizes readable, maintainable code and connects Python to machine learning, web scraping, scientific computing, and DevOps applications. * Curriculum Awareness & Adaptive Instruction: Familiar ...

Programming experience (e.g., JavaScript, C++, or similar) * Exposure to machine learning, AI, or predictive maintenance applications * Experience in highly automated manufacturing environments

Controls Engineer

Anderson, SC · On-site

$76K - $98K/yr

At First Quality, you'll find a collaborative environment focused on continuous learning ... Develop Safety Procedures for installed machines - Lock-Out /Tag-Out for operations and maintenance ...

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Machine Learning Engineer Opt information

See Anderson, SC salary details

$28.8K

$117.9K

$177.1K

How much do machine learning engineer opt jobs pay per year?

As of Jul 8, 2026, the average yearly pay for machine learning engineer opt in Anderson, SC is $117,873.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,900.00 and $141,900.00 per year, depending on experience, location, and employer.

What are Machine Learning Engineers?

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 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 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 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 job categories do people searching Machine Learning Engineer Opt jobs in Anderson, SC look for? The top searched job categories for Machine Learning Engineer Opt jobs in Anderson, SC are:
What cities near Anderson, SC are hiring for Machine Learning Engineer Opt jobs? Cities near Anderson, SC with the most Machine Learning Engineer Opt job openings:
Presales Structural Engineer

Presales Structural Engineer

Vertiv Group Corp.

Pelzer, SC • On-site

Full-time

Re-posted 10 days ago


Vertiv rating

6.9

Company rating: 6.9 out of 10

Based on 60 frontline employees who took The Breakroom Quiz

317th of 427 rated machine equipment manufacturers


Job description


POSITION OVERVIEW
Join Vertiv as a Presales Structural Engineer in our Infrastructure Solutions team and play a key role in shaping the future of cutting-edge modular solutions for data centers, industrial facilities, and critical infrastructure at scale. This is your opportunity to lead the way in developing innovative, sustainable, and functional structural designs that support the rapidly evolving needs of AI-driven technologies and next-generation data center environments.
At Vertiv, you'll work alongside a multidisciplinary team of engineering experts, leveraging and supporting emerging technologies such as AI, machine learning, and advanced data analytics to support next-level solutions. You'll contribute to groundbreaking projects that are transforming the way the world builds and deploy high-performance infrastructure for leading global IT and tech companies.
Help us define the future of scalable, resilient, and efficient infrastructure to meet the demands of tomorrow's connected world.
RESPONSIBILITIES
Designing Modular Steel Structures:
Support the development of structural design for low- to medium-complexity modular steel buildings. Prepare structural 3D models, perform static and dynamic calculations, and generate technical documentation such as workshop drawings, lifting and anchoring layouts, and specifications.
Ensuring Compliance and Best Practices:
Apply international, national, and internal standards, ensuring that all designs are safe, compliant, and cost-effective. Integrate good engineering practices into every stage of the design process.
Collaborating Across Teams:
Actively participate in project kick-off and coordination meetings, and engage with cross-functional teams including architectural, electrical, mechanical, manufacturing, and site engineers to ensure cohesive project execution.
Approving and Reviewing Documentation:
Support the review and technical approval of subcontractor workshop documentation and supplier offers. Specify materials, services, and necessary certifications for project execution.
Supporting Execution and Site Activities:
Provide technical support during fabrication and assembly. Collaborate with site managers, manufacturing, quality control, and commissioning engineers to resolve structural issues and ensure safe and efficient implementation.
QUALIFICATIONS
Education: Degree in Structural Engineering or Civil Engineering with a structural focus
Firm theoretical knowledge backed-up by experience
Experience: 3+ years
Language: Fluent in English
Software Skills: Proficiency in Tekla, Revit, AutoCAD, Robot, SCIA Engineer, IDEA StatiCa, anchoring design tools, and MS Office
Key Competencies: Attention to detail, analytical thinking, creativity, problem-solving, organization, flexibility, and strong team collaboration
TIME TRAVEL REQUIRED
  • 5%

The successful candidate will embrace Vertiv's Core Principles & Behaviors to help execute our Strategic Priorities.
OUR CORE PRINCIPALS: Safety. Integrity. Respect. Teamwork. Inclusion.
OUR STRATEGIC PRIORITIES
• High-Performance Culture• Customer Focus
• Operational Excellence
• Innovation
• Financial Strength
VERTIV BEHAVIORS
• Own it
• Act with urgency
• Foster a customer-first mindset
• Think big and execute
• Lead by example
• Drive continuous improvement
• Learn and seek out development
• Promote transparent & open communication
About Vertiv
Vertiv (NYSE: VRT) brings together hardware, software, analytics and ongoing services to enable its customers' vital applications to run continuously, perform optimally and grow with their business needs. Vertiv solves the most important challenges facing today's data centers, communication networks and commercial and industrial facilities with a portfolio of power, cooling and IT infrastructure solutions and services that extend from the cloud to the edge of the network. Headquartered in Westerville, Ohio, USA, Vertiv employs around 34,000 people and does business in more than 130 countries. Visit Vertiv.com to learn more.
Work Authorization
No calls or agencies please. Vertiv will only employ those who are legally authorized to work in the United States. This is not a position for which sponsorship will be provided. Individuals with temporary visas such as E, F-1, H-1, H-2, L, B, J, or TN or who need sponsorship for work authorization now or in the future, are not eligible for hire.
Equal Opportunity Employer
Vertiv is an Equal Opportunity/Affirmative Action employer. We promote equal opportunities for all with respect to hiring, terms of employment, mobility, training, compensation, and occupational health, without discrimination as to age, race, color, religion, creed, sex, pregnancy status (including childbirth, breastfeeding, or related medical conditions), marital status, sexual orientation, gender identity / expression (including transgender status or sexual stereotypes), genetic information, citizenship status, national origin, protected veteran status, political affiliation, or disability. If you have a disability and are having difficulty accessing or using this website to apply for a position, you can request help by sending an email to help.join@vertiv.com.
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