ZipRecruiter

Log In

1

Machine Learning Engineer Jobs in Clemson, SC (NOW HIRING)

Hyve Solutions

BI Analyst

Greenville, SC · On-site

$75K - $110K/yr

Hyve Company Overview Hyve Solutions transforms complex engineering challenges into production ... Exposure to data science tools or methodologies (Python, R, machine learning concepts, data bricks ...

CYNET SYSTEMS

Data Scientist

Greenville, SC · On-site

$45 - $50/hr

Experience working with Data Engineers to ensure data requirements are correctly implemented at ... Develop and validate Machine Learning models that support demand forecasting, scenario modeling ...

Pae

Applied Multiphysics - Engineer II

Greenville, SC · On-site

This position will provide you with an exciting opportunity to join Machine Design projects as part ... For the majority of assignments, junior-mid Engineers will be issued specific objectives ...

Syensqo

Process Controls Engineer

Piedmont, SC · On-site

$98K - $123K/yr

Opportunities for growth and learning * Encouraging a diverse and inclusive workplace culture that ... machinery such as production equipment and computers * Must be able to be exposed to and work in a ...

Syensqo

Process Controls Engineer

Piedmont, SC

$98K - $123K/yr

Opportunities for growth and learning * Encouraging a diverse and inclusive workplace culture that ... machinery such as production equipment and computers * Must be able to be exposed to and work in a ...

Arthrex

Quality Engineer Sr I

Pendleton, SC · On-site

$74K - $100K/yr

... them with learning experience. * Supports manufacturing suppliers with assistance in on-site ... Machine, Tools, and/or Equipment Skills: Proficiency in the use of PC and programs, particularly ...

ARTHREX

Quality Engineer Sr I

Pendleton, SC · On-site

$74K - $100K/yr

... them with learning experience. * Supports manufacturing suppliers with assistance in on-site ... Machine, Tools, and/or Equipment Skills: Proficiency in the use of PC and programs, particularly ...

previous page

Showing results 41-60

All JobsMachine Learning Engineer JobsMachine Learning Engineer Jobs in Clemson, SC

Machine Learning Engineer information

See Clemson, SC salary details

$26.7K

$109.1K

$164K

How much do machine learning engineer jobs pay per year?

As of Aug 18, 2026, the average yearly pay for machine learning engineer in Clemson, SC is $109,105.00, according to ZipRecruiter salary data. Most workers in this role earn between $86,000.00 and $131,300.00 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 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 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 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.

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 Clemson, SC?

The most popular types of Machine Learning Engineer jobs in Clemson, SC are:

What are popular job titles related to Machine Learning Engineer jobs in Clemson, SC?

For Machine Learning Engineer jobs in Clemson, SC, the most frequently searched job titles are:

What job categories do people searching Machine Learning Engineer jobs in Clemson, SC look for?

The top searched job categories for Machine Learning Engineer jobs in Clemson, SC are:

What cities near Clemson, SC are hiring for Machine Learning Engineer jobs?

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

Machine Learning Engineer jobs near you
Infographic showing various Machine Learning Engineer job openings in Clemson, SC as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 24% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $109,105 per year, or $52.5 per hour.

BI Analyst

Hyve Solutions

Greenville, SC • On-site

$75K - $110K/yr

Full-time

Retirement, PTO

Posted 20 days ago

Hyve Solutions rating

6.8

Company rating: 6.8 out of 10

Based on 15 frontline employees who took The Breakroom Quiz

123rd of 159 rated electronics manufacturers

Job description

Hyve Company Overview

Hyve Solutions transforms complex engineering challenges into production reality for technology innovators building AI, cloud, and connected infrastructure. As a US-based manufacturing partner, the company rapidly delivers fast, agile execution through dep technical partnerships and co-innovation, and supply chain clarity. Hyve's integrated ODM, CM, and SI capabilities eliminate vendor complexity while accelerating time-to-market with single-partner accountability from design through scale. The company co-innovates with deep engineering expertise, treating customer success as its own while building tomorrow's digital infrastructure.


Location: Fremont, CA or Greenville, SC or Olive Branch, MS

Key Responsibilities:

  • Design, build and maintain Corp wise or Cross Functional business domain dashboards and reports using BI tools, such as Microsoft Power BI or similar
  • Partner closely with 3 or more in Supply Chain, Product Sourcing, Procurement, Warehouse, Traffic, Manufacturing, Account Payable, Account Receivable, Finance, or Accounting to understand business processes, reporting needs, and strategic priorities
  • Develop automated reporting and data pipelines to improve efficiency and reduce manual processes
  • Create and maintain documentation for data models, transformations and reporting logic
  • Define project scope, gathering requirements, creating timelines, managing backlogs, and ensuring the timely delivery of BI products
  • Analyze large datasets to identify trends, patterns, and key business drivers, and translate findings into actionable insights
  • Ability to lead complex projects, influence partners, and communicate effectively at both technical and executive levels
  • Establish and enforce data governance, validation rules, and transformation logic to ensure data consistency across systems
  • Collaborate with data engineering team to optimize data pipelines, ensure data quality, and improve data availability

Qualifications & Technical Skills

  • BA/BS degree with 3-5 years of relevant experience, or equivalent practical experience
  • 3+ years of experience with traditional data warehouse architectures, such as centralized data warehouse, data mart
  • Strong SQL skills and proficiency in data modeling concepts (start schema, dimensional modeling, semantic design)
  • Proficiency in Microsoft excel and experience with BI tools such as Power BI or similar
  • Strong analytical and problem-solving skills with the ability to translate business needs into data solutions
  • Solid understanding of historical, snapshot, and incremental data processing patterns
  • Familiarity with data warehousing concepts (e.g. databricks/Hive/Snowflake schemas)
  • Exposure to data science tools or methodologies (Python, R, machine learning concepts, data bricks, snowflake)
  • Experience with ETL/ELT tools (e.g., dbt, Fivetran, Informatica, Azure Data Factory), Alteryx, and Jira.
  • Proven experience managing data-driven initiatives using project management frameworks (e.g., Agile, Scrum, Kanban)
  • PMP or Scrum Master certification is a plus

The anticipated base salary range for this position:

Fremont, CA - $75,000-$110,000 annually

Greenville, SC - $68,000 - $103,000 annually
Actual compensation will be determined based on experience, skills, qualifications, and business needs.

What's in it for you

Benefit Insurance

  • Flexible Spending Account (FSA)
  • Health Savings Account (HSA)
  • Mental Health Care
  • 401K with match
  • Paid Holidays, Vacation & Sick Days
  • Tuition Reimbursement
  • Perks at Work
  • LEAP Program
  • MyFlexPay

We are an Equal Opportunity Employer and do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, or any other legally protected status. We are committed to creating an inclusive environment for all employees.

What Hyve Solutions employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply