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Artificial Intelligence Machine Learning Engineer Jobs in Columbia, SC

Pwc

US Tech - AI Engineering Senior Associate

Columbia, SC · On-site

$55K - $187K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

Foth

Civil Engineering Project Manager

Columbia, SC · On-site

$78K - $105K/yr

Professional Engineer (PE) License in South Carolina * Minimum of 2 years of experience with direct ... Artificial Intelligence: Foth uses artificial intelligence and other technology-assisted tools in ...

Foth

Civil Engineering Project Manager

Columbia, SC · On-site

$78K - $105K/yr

Professional Engineer (PE) License in South Carolina * Minimum of 2 years of experience with direct ... Artificial Intelligence: Foth uses artificial intelligence and other technology-assisted tools in ...

Foth

Civil Engineering Project Manager

Columbia, SC · On-site

$78K - $105K/yr

Professional Engineer (PE) License in South Carolina * Minimum of 2 years of experience with direct ... Artificial Intelligence: Foth uses artificial intelligence and other technology-assisted tools in ...

The Nuclear Company

Cost Estimator

Columbia, SC · On-site

Our team combines intellectual curiosity with high agency, embraces candid feedback and continuous ... Leverage AI and machine learning tools to analyze historical project data, identify cost drivers ...

The Nuclear Company

Cost Estimator

Columbia, SC · On-site

Our team combines intellectual curiosity with high agency, embraces candid feedback and continuous ... Leverage AI and machine learning tools to analyze historical project data, identify cost drivers ...

Armis Security

AI Solutions Consultant

North, SC

We're looking for engineers fluent in modern AI application development - agent frameworks, harnesses, tool use, prompting, retrieval, and evaluation - not machine learning engineers. You will be ...

Pwc

US Tech - AI Engineering Manager

Columbia, SC

$73K - $244K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

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All JobsArtificial Intelligence Machine Learning Engineer JobsArtificial Intelligence Machine Learning Engineer Jobs in Columbia, SC

Artificial Intelligence Machine Learning Engineer information

See Columbia, SC salary details

$29.1K

$119.1K

$179K

How much do artificial intelligence machine learning engineer jobs pay per year?

As of Aug 18, 2026, the average yearly pay for artificial intelligence machine learning engineer in Columbia, SC is $119,129.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,900.00 and $143,400.00 per year, depending on experience, location, and employer.

What is an artificial intelligence machine learning engineer?

An Artificial Intelligence (AI) Machine Learning Engineer is a professional who designs, builds, and implements machine learning models and AI systems. They work with large datasets, develop algorithms, and use programming languages like Python or R to enable computers to learn from data and make predictions or decisions. Their work is essential in fields such as natural language processing, computer vision, and robotics. These engineers collaborate with data scientists, software developers, and business stakeholders to deploy AI solutions in real-world applications.

What are some common challenges faced by artificial intelligence machine learning engineers when deploying models to production?

One of the main challenges AI/ML engineers encounter is ensuring that models trained in a controlled environment perform reliably in real-world production settings. This often involves handling issues like data drift, scaling models to handle large volumes of requests, and integrating with existing infrastructure. Collaboration with data engineers and software developers is crucial to streamline deployment, monitor model performance, and address any unexpected behavior quickly. Keeping up with evolving tools and best practices is also important for long-term model maintenance and success.

What are the key skills and qualifications needed to thrive as an artificial intelligence machine learning engineer, and why are they important?

To thrive as an Artificial Intelligence Machine Learning Engineer, you need strong programming skills (typically in Python or R), a background in mathematics or statistics, and a degree in computer science or a related field. Familiarity with machine learning frameworks (such as TensorFlow, PyTorch, or scikit-learn), cloud platforms, and relevant certifications are highly valuable. Problem-solving ability, creativity, and effective communication are important soft skills that distinguish top performers in this role. These competencies are crucial for designing robust AI solutions, collaborating with cross-functional teams, and driving innovation in rapidly evolving technological environments.

What is the difference between Artificial Intelligence Machine Learning Engineer vs Data Scientist?

AspectArtificial Intelligence Machine Learning EngineerData Scientist
Required CredentialsBachelor's or higher in CS, AI, ML, or related; certifications like TensorFlow, AWSBachelor's or higher in CS, Statistics, or related; certifications in data analysis or visualization
Work EnvironmentDevelops AI/ML models, coding, deploying algorithms in software environmentsAnalyzes data, builds models, interprets data insights for business decisions
Employer & Industry UsageTech companies, AI startups, R&D departmentsFinance, healthcare, marketing, consulting firms

While both roles involve working with data and algorithms, Artificial Intelligence Machine Learning Engineers focus on designing, building, and deploying AI/ML models in software systems. Data Scientists primarily analyze data to extract insights and support decision-making. The roles often overlap but differ in their core focus and daily tasks.

What are popular job titles related to Artificial Intelligence Machine Learning Engineer jobs in Columbia, SC?

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

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

The top searched job categories for Artificial Intelligence Machine Learning Engineer jobs in Columbia, SC are:

What cities near Columbia, SC are hiring for Artificial Intelligence Machine Learning Engineer jobs?

Cities near Columbia, SC with the most Artificial Intelligence Machine Learning Engineer job openings:

Artificial Intelligence Machine Learning Engineer jobs near you
Infographic showing various Artificial Intelligence Machine Learning Engineer job openings in Columbia, SC as of August 2026, with employment types broken down into 100% Full Time. Highlights an 82% In-person, and 18% Remote job distribution, with an average salary of $119,129 per year, or $57.3 per hour.

Cash Services Operations & Business Intelligence Analyst

AgFirst Farm Credit Bank

Columbia, SC • On-site

Full-time

Posted 27 days ago

Job description


Cash Services Operations & Business Intelligence Analyst (Hybrid - Columbia, SC)
The Cash Services Operations & Business Intelligence Analyst is a cash operations and analytics role responsible for executing critical Cash Services functions while leveraging data and analytics to identify improvement opportunities. This position supports day-to-day cash operations including ACH processing, wire transfers, lockbox services, funding activities, digital banking support, exception management, and operational controls.
The role serves as a key contributor to business process optimization by leveraging data analytics, reporting, automation technologies, artificial intelligence, and dashboard development to improve efficiency, enhance service delivery, strengthen controls, and reduce operational costs. The analyst identifies opportunities to eliminate manual processes, increase productivity, create operational capacity, and support scalable growth through technology-enabled solutions.
The position partners closely with Operations and Business stakeholders to deliver actionable insights, develop performance metrics, automate workflows, and implement innovative solutions that improve customer experience and operational effectiveness.
What You'll Do
Perform and Support Daily Cash Services Operations
  • Perform and support daily Cash Services operational functions, including ACH, wire transfer, lockbox, funding, digital banking support, and exception processing activities.
  • Develop a strong understanding of transaction lifecycles, operational risk, internal controls, procedures, and service expectations.
  • Maintain accurate process documentation and support updates as procedures, systems, and business needs evolve.
  • Support operational continuity by learning multiple Cash Services functions and assisting during peak processing periods or special situations.
  • Monitor and support operational controls, including control validations, exception monitoring, issue escalation, documentation of control activities, and maintenance of appropriate audit or assessment evidence.

Develop Reporting, Analytics, and Business Intelligence Solutions
  • Analyze large datasets from data warehouses, data lakes, operational systems, and other sources to identify trends, exceptions, and actionable insights.
  • Create dashboards, scorecards, operational reports, KPIs, and executive-level reporting that support decision-making and performance monitoring.
  • Perform capacity planning, volume forecasting, productivity measurement, and transaction trend analysis for Cash Services functions.
  • Present findings clearly through reports, presentations, visual analytics, and management updates.
  • Develop performance metrics and actionable insights that help management evaluate service quality, customer experience, operational risk, productivity, cost trends, and capacity utilization.

Identify Process Improvement, Systems Integration, and Automation Opportunities
  • Review operational processes to identify manual work, repetitive activities, duplicate effort, bottlenecks, and opportunities for automation.
  • Design future-state workflows that reduce reliance on spreadsheets, email processing, and manual tracking.
  • Support automation efforts using tools such as Power Automate, Power Apps, SharePoint, Microsoft Forms, Copilot, dashboards, and workflow tracking solutions.
  • Connect multiple data sources and consolidate operational information into centralized reporting solutions that improve visibility, consistency, and management decision-making.
  • Support API development and integration efforts by working with technical teams to automate data movement and improve data availability across Cash Services processes.
  • Use AI tools to improve reporting and analytics, identify AI use cases within operations, automate data collection and analysis, and evaluate AI-enabled process improvements.
  • Partner with business and technical teams to implement integration, automation, and intelligent workflow solutions that improve efficiency, reduce risk, and strengthen controls.
  • Partner with Operations and Business stakeholders to gather requirements, understand process pain points, validate future-state workflows, support user adoption, and align solutions to customer and operational needs.
  • Evaluate process improvement and automation opportunities based on expected impact to customer experience, service delivery, operational controls, productivity, capacity creation, and cost reduction.
  • Track benefit realization for completed improvements, including productivity gains, reduced manual effort, capacity creation, improved controls, and measurable cost or efficiency outcomes.

What You'll Need
  • Bachelor's Degree in Business Administration, Finance, Accounting, Management Information Systems, Computer Information Systems, Data Analytics, Economics, Mathematics, Statistics, Operations Management, Industrial Engineering, or a related field. Equivalent combinations of education and relevant work experience may be considered.
  • 3-5 years in banking operations, treasury services, cash management, payment operations, ACH processing, wire transfer operations, lockbox operations,
  • 4-6 years in business analytics, reporting, process improvement, systems integration, intelligent automation, or a related field.
  • 4-6 years developing dashboards, reports, KPIs, process documentation, automation solutions, centralized reporting, data integration, or AI-enabled process improvements.
  • 4-6 years partnering with business stakeholders, gathering requirements, translating operational needs into reporting or automation solutions, developing actionable insights, supporting s, and performing cost-benefit or productivity analysis is preferred.
  • Demonstrated ability to analyze operational processes, identify root causes, evaluate alternatives, and develop recommendations that improve efficiency, effectiveness, and service delivery.
  • Strong analytical and critical thinking skills with the ability to interpret data, identify trends, assess impacts, and translate findings into actionable business insights.
  • Ability to lead or support process improvement initiatives through workflow analysis, process redesign, standardization, and automation opportunities.
  • Strong business acumen and judgment with the ability to prioritize work, manage competing demands, and make sound decisions in a dynamic operational environment.
  • Ability to develop and maintain reports, dashboards, performance metrics, and presentations that support operational and strategic decision-making.
  • Strong written and verbal communication skills with the ability to present information clearly and effectively to diverse stakeholder groups.
  • Ability to build collaborative relationships and work effectively with cross-functional teams, business partners, and leadership to achieve organizational objectives.

About Us
AgFirst Farm Credit Bank provides financing, as well as technology and other value-added services, to association partners so they can lend to rural residents and agricultural operations of all sizes. We take pride in investing in our employees, our partners and our community.
Find out more on AgFirst.com, and follow us on LinkedIn!

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