Top 26 Ai/ml engineer Jobs in Greenville, Sc

Data & Analytics Developer
WCL Group —Greenville, SC
- $47 - $53 an hour
- Full-time
- Computer Science
- Salesforce
- Mid-level
14d
AI/ML Developer - AI Trainer
DataAnnotation —Duncan, SC
- $50 - $100 an hour
- Part-time
- Remote
- Writing skills
- English
- Mid-level
- Flexible schedule
Quick Apply
GenAI / Machine Learning / Python Engineer - USC / Green Card / H4 EAD
Hudson Manpower —Greenville, SC
- $30 - $45 an hour
- Full-time
- Remote
- Azure
- Mid-level
- SQL
Quick Apply
ETL Lead
Delan Associates, Inc —Greenville, SC
- Contract
- Office
- Mentoring
- Senior level
Quick Apply
9d
Data Strategist
Greenville-Spartanburg Airport District —Greer, SC
- $81,563 - $101,954 a year
- Full-time
- Computer science
- Azure
- Computer Science
Quick Apply
1d
Sr. Advanced Mechanical Engineer
Techtronic Industries Power Equipment —Anderson, SC
- Full-time
- 5 years
- Bachelor of Science
- Microsoft Office
Sr. Concept Design Engineer
Techtronic Industries Power Equipment —Anderson, SC
- Full-time
- 7 years
- Bachelor of Science
- Analysis skills
Account Executive – U.S. Navy
Asylon —United States
- $100,000 - $200,000 a year
- Full-time
- 5 years
- Military
- Bachelor's degree
- Health insurance
- Dental insurance
Quick Apply
7d
Machine Learning Engineer - AI Trainer
DataAnnotation —United States
- $50 - $100 an hour
- Part-time
- Remote
- Computer Science
- Writing skills
- English
- Flexible schedule
Quick Apply
7h

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Ascendion —Columbus, OH
Develop enterprise capabilities as tools or skills for LLMs, enabling agents to interact with business systems and workflows in a controlled, scalable way.
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Bachelor's degree in Computer Science, Information Systems, or related field, or equivalent experience.\*. In this dynamic role, you will design, implement, and…
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ai/ml engineer jobs near greenville, sc

Data & Analytics Developer

WCL Group
Greenville, SC

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Job Details

Full-time | Contract
$47 - $53 an hour
14 days ago

Qualifications

AI models
Scikit-learn
Statistics
Predictive modeling analysis
SAP
NumPy
Prompt engineering
SQL
Pandas
Predictive analytics projects
Model evaluation
Cross-functional communication
Scenario analysis
Data analysis software

Full Job Description

CLIENT HIGHLIGHT

The client you'll be supporting is a Fortune 500 global leader in energy technology, focused on helping the world produce cleaner, more reliable power. Their teams design and improve the systems that keep homes, businesses, and communities running, from gas and wind turbines to the electrical grids that connect them. This is a chance to be part of a company that's driving innovation, supporting sustainability, and shaping the future of energy.

LOCATION

Greenville, South Carolina, 29615

COMPENSATION

$47-53 per hour, full benefits offered

SCHEDULE

Hybrid; local candidates

Standard Hours: 40 hours per week

CONTRACT TERM

1 year with high likelihood of extension or conversion

POSITION OVERVIEW

The Data & Analytics (D&A) Developer II / Data Scientist supports the HDPE Operations & Strategy team, serving as the bridge between engineering domain knowledge, business operations, and IT execution. This role defines data requirements, builds AI/ML and scenario-planning models, and delivers harmonized insights and reporting to business stakeholders worldwide. Responsibilities: Analyze data across enterprise systems (SAP, Salesforce, Databricks, Power BI); develop and validate machine learning models for forecasting and scenario planning; build and maintain Python-based data pipelines; track project execution through P6 and other project systems; reverse-engineer existing dashboards and SQL logic; and translate technical findings into actionable business insights.

RESPONSIBILITIES

Data Analysis & Intelligence

Analyze data from multiple enterprise systems (SAP, Salesforce, Databricks, Power BI, labor and finance systems) to identify patterns, gaps, and improvement opportunities
Work with Program Managers and Operations leaders to define relevant data assets and specify how data should be accessed, interpreted, and used
Transform large structured/unstructured datasets (100k+ rows) into actionable insights
Conduct data quality checks and resolve data defects across enterprise platforms

AI/ML Model Development & Deployment

Develop and validate machine learning models supporting demand forecasting and scenario modeling
Document analytical findings, model performance, and data definitions for transparency and reproducibility
Build and maintain Python-based data pipelines for ETL, model training, and automated forecasting workflows in collaboration with Data Engineers
Translate business data challenges into concrete data science and AI/ML problem statements
Leverage LLMs and prompt engineering to build tools that augment decision-making and automate workflows

Scenario Planning & Project Execution Analytics

Design and execute scenario planning models to test business assumptions and evaluate what-if outcomes
Track project execution data across P6 (Primavera) and other systems, linking planning assumptions to actual performance
Support variance analysis between planned assumptions and actual execution to identify gaps and trends
Build automated tracking solutions monitoring assumption validity through project lifecycle stages
Collaborate with Program Managers to refine planning assumptions based on execution learnings
Provide data pipelines and data to build executive dashboards visualizing assumption-to-execution alignment

Existing Data Ecosystem & Optimization

Review existing dashboards, models, and data pipelines to understand design patterns and data flows
Read and interpret SQL queries and business logic embedded in current reports and analytical systems
Identify opportunities to optimize or consolidate existing reporting and modeling assets
Maintain consistency with established data standards and best practices

Business Stakeholder Collaboration & Continuous Improvement

Translate complex data findings and model outputs into clear, actionable insights for technical and non-technical audiences
Support centralized, KPI-based reporting solutions for business stakeholders across global business lines
Collaborate with Data Analysts and Data Engineers to ensure data requirements are implemented correctly at the pipeline and infrastructure level
Stay current with AI, ML, and data science advancements, proposing new approaches to enhance solutions

REQUIREMENTS

Bachelor's degree in Data Science, Computer Science, Engineering, or related field.
Strong proficiency in Python (pandas, numpy, scikit-learn, scipy) and SQL.
Experience with statistical modeling, scenario/what-if analysis, and model validation.
Familiarity with enterprise data systems (SAP, Salesforce, Databricks) and LLM/prompt engineering concepts.
Strong communication skills and ability to work across international, multicultural teams.

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Refine Your Search

ai/ml engineer jobs in greenville, sc

Data & Analytics Developer

AI/ML Developer - AI Trainer

GenAI / Machine Learning / Python Engineer - USC / Green Card / H4 EAD

ETL Lead

Data Strategist

Sr. Advanced Mechanical Engineer

Sr. Concept Design Engineer

Account Executive – U.S. Navy

Machine Learning Engineer - AI Trainer

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