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Machine Learning Engineer Opt Jobs in Anderson, SC

Varsity Tutors

Machine Learning Tutor

Greenville, SC · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Td

Data Scientist III - FCRM

Greenville, SC

$96K - $155K/yr

This role is not eligible for TD work visa support or sponsorship (e.g., H-1B, F-1 OPT/STEM OPT, TN ... machine learning, generative AI, large language models (LLMs), agentic AI, prompt engineering, and ...

DISHER

Vision Engineer

Greenville, SC · Remote

Vision Engineer - Remote / Travel DISHER is currently partnering with a world leading automation ... Knowledge on machine learning with AI capabilities. * Self-driven and willingness to work long ...

DISHER

Vision Engineer

Greenville, SC · Remote

Vision Engineer - Remote / Travel DISHER is currently partnering with a world leading automation ... Knowledge on machine learning with AI capabilities. * Self-driven and willingness to work long ...

Truleo

Senior Software Engineer

Greenville, SC · On-site

$115K - $151K/yr

And we're hiring engineers to help us bring case intelligence to more departments. The Role We're ... Experience with Python, machine learning (ML), ML Ops * Experience building AI-powered systems.

Truleo

Senior Software Engineer

Greenville, SC · On-site

$115K - $151K/yr

And we're hiring engineers to help us bring case intelligence to more departments. The Role We're ... Experience with Python, machine learning (ML), ML Ops * Experience building AI-powered systems.

TRULEO

Senior Software Engineer

Greenville, SC · On-site

$115K - $151K/yr

And we're hiring engineers to help us bring case intelligence to more departments. The Role We're ... Experience with Python, machine learning (ML), ML Ops * Experience building AI-powered systems.

Varsity Tutors

Data Science Tutor

Greenville, SC · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Vertiv Co

Presales Electrical Engineer

Pelzer, SC · On-site

... 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 ...

Varsity Tutors

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 ...

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All JobsMachine Learning Engineer Opt JobsMachine Learning Engineer Opt Jobs in Anderson, SC

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 29, 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 are popular job titles related to Machine Learning Engineer Opt jobs in Anderson, SC? For Machine Learning Engineer Opt jobs in Anderson, SC, the most frequently searched job titles 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:
Machine Learning Engineer Opt jobs near you
Machine Learning Engineer II

Machine Learning Engineer II

Techtronic Industries - TTI

Anderson, SC • On-site

Full-time

Posted 29 days ago

Techtronic Industries TTI rating

8.2

Company rating: 8.2 out of 10

Based on 35 frontline employees who took The Breakroom Quiz

129th of 486 rated machine equipment manufacturers

Job description

Job Summary:
Techtronic Industries is a fast-growing world leader in Power Tools and Accessories, seeking an Electrical Machine Learning Engineer II to join their team. The role involves identifying and developing ML-enabled features for outdoor power tools, collaborating with cross-functional teams to create data-driven solutions.
Responsibilities:
• Identify, develop, and validate ML-enabled features for outdoor power tools within the OP EE organization.
• Frame ML use cases, design data-collection strategies and ground-truth methods.
• Perform data engineering and feature development, train and tune models in Python, and execute validation to characterize accuracy, robustness, and corner cases.
• Establish and improve team workflows and guidelines covering the end-to-end ML lifecycle—from problem definition through model training, validation, and deployment considerations.
Qualifications:
Required:
• Bachelor of Science degree in Computer Science, Computer Engineering, Electrical Engineering, or a related scientific/engineering discipline with completed coursework, certification, or specialization in Machine Learning, Data Science, or a closely related area.
• Minimum 2 years of hands-on experience applying ML in an applied setting (e.g., embedded/edge, signal processing, sensing, or electromechanical products), including data collection and model validation.
• Demonstrated experience applying fundamental ML approaches (e.g., supervised learning for classification/regression, feature engineering, model selection, and hyperparameter tuning).
• Proficient in developing, debugging, and validating Python code, with experience in common libraries (NumPy, pandas, scikit-learn, Matplotlib, etc.).
• Experience with modern software development practices and tools (Git-based workflows; familiarity with CI/CD and containers is a plus).
• Ability to develop and debug code in an embedded environment (C/C++ preferred), including bring-up and hardware-facing troubleshooting will be a plus.
• Basic knowledge of sensor technologies (e.g., IMUs, thermistors/temperature sensing, magnetic/optical sensing) and microcontroller interfacing.
• Strong problem-solving and system-thinking skills, with the ability to work in a fast-paced, prototype-to-demo environment.
• Strong technical communication skills and the ability to plan/execute work to meet project schedules.
• Demonstrated ownership of deliverables, including understanding dependencies and collaborating effectively with cross-functional stakeholders.
Company:
Techtronic Industries Company Limited (“TTI”, or the “Company”), founded in 1985 by German entrepreneur Horst Julius Pudwill, is a world leader in cordless technology. Founded in 1985, the company is headquartered in Kwai Tsing, HKG, with a team of 10001+ employees. The company is currently Late Stage.

What Techtronic Industries TTI employees say

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