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Machine Learning Engineer Opt Jobs in Anderson, SC

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.

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 ...

... 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 ...

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

Controls Engineer

Fountain Inn, SC · On-site

$74K - $96K/yr

The Controls Engineer/PLC is responsible for programming production facilities machines; applies ... learning, mentorship, and volunteerism. Our industry-leading team is looking to recruit highly ...

Controls Engineer

Fountain Inn, SC · On-site

$74K - $96K/yr

The Controls Engineer/PLC is responsible for programming production facilities machines; applies ... learning, mentorship, and volunteerism. Our industry-leading team is looking to recruit highly ...

The Prototype Machinist is an entry-level position responsible for learning and developing ... machine shop equipment, interpreting engineering drawings, performing basic machining operations ...

Production Engineer (Controls or Mechanical)

Piedmont, SC · On-site

$76K - $98K/yr

As the facility in Greenville, SC expands with seven new machine lines and two new assembly lines ... learning and career growth. What They Offer: Full Medical, Dental, and Vision Benefits on Day 1. ...

Experience or relevant project-based learning in gas turbine design, repair, manufacturing, or ... Machining. * Laser Applications. * Joining/Brazing. * Coating. * Inspection Technologies.

Showing results 21-40

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 Sep 12, 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 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 near Anderson, SC are hiring for Machine Learning Engineer Opt jobs?

Cities near Anderson, SC with the most Machine Learning Engineer Opt job openings:

Senior Software Engineer

Greenville, SC • On-site

$115K - $151K/yr

Full-time

Re-posted 4 days ago


Job description

About TRULEO

TRULEO builds the first case intelligence platform for law enforcement, and more than 1,000 agencies use us today. Most departments already have the information they need to solve a case, but it's spread across RMS, CAD, jail calls, body-worn camera footage, OSINT, and a dozen other systems that don't talk to each other, and Detectives don't have time to dig through all of it.

TRULEO sits on top of the systems an agency already uses and works the case alongside its detectives. It searches across those sources, connects related information, and surfaces leads in minutes instead of weeks. We don't replace their systems, but we make the data an agency already owns easier to actually use, so investigators can spend their time closing cases instead of running queries.

TRULEO has helped agencies turn thousands of files into real leads, break open cold cases, and solve crimes in real time. And we're hiring engineers to help us bring case intelligence to more departments.

The Role

We're hiring a Senior Software Engineer to join our engineering team in Greenville, SC, on-site. This is a full-stack engineering role. You'll work across React, Node/TypeScript, and PostgreSQL data models. Because our product is AI-driven, you'll also build and improve the agentic systems that make TRULEO useful to detectives. It's a high-ownership role on a small, senior team where you'll ship features end to end, from design through production, and your work will directly shape how cases get solved.

What You'll Do
  • Build and ship customer-facing features across the full stack (front end, back end, and data), and own them from design through production.
  • Design and maintain the APIs and data models behind our core case-intelligence workflows.
  • Develop and improve our AI capabilities 
  • Build and maintain the connectors that ingest, organize, and cross-reference data from the third-party systems detectives rely on.
  • Run what you build in production, including the harder parts of rollout - migrations, backfills, feature flags, and debugging live systems.
  • Work within our secure, compliant development process (SOC 2, FBI CJIS) and partner with Product to turn customer needs into features people actually use.
Qualifications
  • 7+ years of professional software engineering experience.
  • Strong full-stack background, with production experience in React, TypeScript, Node.js, and PostgreSQL.
  • Experience with Python, machine learning (ML), ML Ops
  • Experience building AI-powered systems. 
  • Comfortable with cloud infrastructure and containerized deployments.
  • A practical, self-directed engineer who communicates clearly and does well on a small team where everyone wears several hats.
  • Able to work on-site in Greenville, SC, and to pass the background check required to work with criminal justice (CJIS) data.