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Machine Learning Engineer Opt Jobs in Anderson, SC

Synnex

Sr. Data Analyst

Greenville, SC · On-site

$80K - $102K/yr

In this role, you will serve as a trusted analytical partner to Cloud Operations, Cloud Engineering ... Familiarity with AI, machine learning, anomaly detection, and predictive analytics is a plus.

SNAP Diagnostics

Prototype Machinist

Anderson, SC

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

Yanfeng

Engineer, PLC - Seating Division

Fountain Inn, SC

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Works as system integrator, programs all machines in a manufacturing cell or line to interface with ... learning, mentorship, and volunteerism. Our industry-leading team is looking to recruit highly ...

Omnicom

Full Stack Developer

Greenville, SC · On-site

Technology Design Full-Stack Developer (.NET / C# / AWS) EP+Co. | Creative Technology Team EP+Co ... AI, machine learning, and cloud-native automation tools. If you are passionate about building ...

Varsity Tutors

Linear Algebra Tutor

Greenville, SC · Remote

$18 - $40/hr

... data science, engineering, and advanced mathematics. * Conceptual Teaching & Problem-Solving ... machine learning, and quantum mechanics applications. * Curriculum Awareness & Adaptive Instruction:

Bosch Group

Logistics Packaging Engineer

Fountain Inn, SC · On-site

  • Medical

  • Life

  • Retirement

  • PTO

... machines and systems of any size. We inspire our customers with intelligent components, tailored ... Learning and Development: We want you to reach your fullest potential, for both yourself and for ...

pds

CNC Programmer

Greenville, SC · On-site

$62.58/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... Engineer IV/CNC Programmer, you'll serve as a key technical resource supporting advanced machining ... learning, technical excellence, safety, and collaboration Ready to Power What's Next? If you're a ...

PDS Tech Commercial

CNC Programmer

Greenville, SC

$62.58/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... Engineer IV/CNC Programmer, you'll serve as a key technical resource supporting advanced machining ... learning, technical excellence, safety, and collaboration Ready to Power What's Next? If you're a ...

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Showing results 21-40

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 Aug 19, 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 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 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:

Machine Learning Engineer Opt jobs near you

Sr. Data Analyst

Synnex

Greenville, SC • On-site

$80K - $102K/yr

Full-time

Posted 5 days ago

Job description

About the Role
We're looking for a Senior Data Analyst to help turn complex cloud, financial, and operational data into clear, actionable insights that improve business performance. In this role, you will serve as a trusted analytical partner to Cloud Operations, Cloud Engineering, Cloud Accounting, and Cloud Sales Leadership, helping teams make smarter decisions across multi-cloud environments.
This is a great opportunity for someone who enjoys moving beyond standard reporting to uncover meaningful trends, identify risks, and deliver recommendations that influence both strategy and execution. You'll work with data from AWS, Azure, and Google Cloud Platform (GCP), as well as financial, operational, and customer data, to support cloud optimization, forecasting, operational performance, and decision-making.
If you're energized by solving business problems with data, building scalable analytics solutions, and helping leaders understand what matters most, this role offers strong visibility and the chance to make measurable impact.
What You'll Do
  • Analyze cloud spend, usage, and operational data to identify trends, risks, anomalies, and optimization opportunities.
  • Deliver insights and recommendations that improve cost efficiency, resource utilization, operational effectiveness, and financial performance.
  • Partner with business and technical stakeholders to define KPIs, scorecards, and success metrics aligned to organizational goals.
  • Build forecasting and predictive models to improve visibility into cloud spend, resource demand, capacity planning, and operational readiness.
  • Evaluate reservation strategies, savings plans, licensing impacts, and commitment-based discounts across cloud platforms.
  • Support budgeting, chargeback, showback, and cost allocation initiatives with advanced analytical modeling.
  • Develop dashboards, reporting models, and self-service analytics tools that help teams make faster, better-informed decisions.
  • Investigate recurring operational issues and recommend opportunities for automation, remediation, and process improvement.
  • Measure the impact of FinOps and optimization initiatives to quantify business value.
  • Communicate findings clearly to both technical and non-technical audiences, including senior leadership.
What You Bring
  • 3-5 years of experience in data analytics, business intelligence, cloud analytics, financial analytics, or a related field.
  • Bachelor's degree in Data Analytics, Data Science, Computer Science, Information Systems, Finance, Statistics, Economics, Mathematics, or a related discipline.
  • Experience working with large, complex datasets and translating analysis into practical business recommendations.
  • Knowledge of AWS, Azure, and GCP cloud services, billing structures, and consumption models.
  • Experience creating dashboards, KPIs, scorecards, forecasts, and predictive models for operational and executive stakeholders.
  • Proficiency in Python, R, or other analytical programming languages.
  • Experience integrating data from multiple sources using APIs, automated workflows, and cloud-native analytics tools.
  • Understanding of data modeling, governance, data quality, and business performance metrics.
  • Familiarity with AI, machine learning, anomaly detection, and predictive analytics is a plus.
Preferred Certifications
Candidates with certifications in the following areas will be especially attractive:
  • FinOps
  • Cloud Platform Certification (AWS, Azure, or GCP)
  • Data Analytics / Business Intelligence
  • AI or Machine Learning
Why This Role Stands Out
This role offers the opportunity to shape how cloud and financial data are used to drive better decisions across the business. You'll help leaders understand where to invest, where to optimize, and how to improve outcomes across a growing multi-cloud environment. It's an ideal next step for someone who wants to deepen their expertise in cloud analytics, FinOps, predictive modeling, and strategic decision support.
At TD SYNNEX, our values emphasize being bold, taking ownership, growing through continuous learning, and doing the right thing with integrity and respect. We welcome candidates with diverse backgrounds and experiences who are excited to bring curiosity, collaboration, and thoughtful problem-solving to the role.
Work Environment
  • Professional office environment
  • Occasional non-standard work hours based on business needs

At TD SYNNEX, our values guide everything we do: Together, We Own It, We Dare to Go, We Grow and Win, and above all, We Do the Right Thing. These principles shape how we work with each other, our partners, and our communities as we drive innovation and create lasting impact.

What's In It For You?

  • Elective Benefits: Our programs are tailored to your country to best accommodate your lifestyle.
  • Grow Your Career: Accelerate your path to success (and keep up with the future) with formal programs on leadership and professional development, and many more on-demand courses.
  • Elevate Your Personal Well-Being: Boost your financial, physical, and mental well-being through seminars, events, and our global Life Empowerment Assistance Program.
  • Diversity, Equity & Inclusion: It's not just a phrase to us; valuing every voice is how we succeed. Join us in celebrating our global diversity through inclusive education, meaningful peer-to-peer conversations, and equitable growth and development opportunities.
  • Make the Most of our Global Organization: Network with other new co-workers within your first 30 days through our onboarding program.
  • Connect with Your Community: Participate in internal, peer-led inclusive communities and activities, including business resource groups, local volunteering events, and more environmental and social initiatives.

Don't meet every single requirement? Apply anyway.

At TD SYNNEX, we're proud to be recognized as a great place to work and a leader in the promotion and practice of diversity, equity and inclusion. If you're excited about working for our company and believe you're a good fit for this role, we encourage you to apply. You may be exactly the person we're looking for!

We are an equal opportunity employer and committed to building a team that represents and empowers a variety of backgrounds, perspectives, and skills. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, gender, gender identity or expression, sexual orientation, protected veteran status, disability, genetics, age, or any other characteristic protected by law.

TD SYNNEX is an E-Verify company

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