Top 82 Ml engineer Jobs in Cary, Nc

AI Engineer
GEI Consultants —Cary, NC
- $110,000 - $150,000 a year
- Full-time
- Mid-level
- 4 years
- Profit sharing
- Commuter assistance
Quick Apply
AI/ML Engineer, Data Scientist
Sciemo —Raleigh-Durham, NC
- $150,000 - $300,000 a year
- Full-time
- Hybrid work
- System design
- SQL
- AWS
Senior AI/ML Engineer
Pedestal Health —Raleigh, NC
- Hybrid work
- Computer Science
- 5 years
- System design
- Paid parental leave
- Paid holidays
9d
Senior Kubernetes Platform Engineer - AI/ML Infrastructure
Cisco Systems —Research Triangle Park, NC
- $137,000 - $277,600 a year
- Full-time
- Hybrid work
- System design
- Office
- 8 years
- Paid parental leave
- Paid holidays
Software Engineer
Cisco Systems —Research Triangle Park, NC
- $128,600 - $256,000 a year
- Full-time
- Computer Science
- Software troubleshooting
- 3 years
- Paid parental leave
- Paid holidays
Senior Machine Learning Engineer
Siemens —Raleigh, NC
- Full-time
- Remote
- Computer Science
- Research
- Master's degree
9d
DevOps Engineer
SAS —Cary, NC
- Azure
- Customer service
- 5 years
- Health savings account
- Paid holidays
Principal Python Backend Engineer
Fidelity Investments —Durham, NC
- $107,000 - $216,000 a year
- Full-time
- 7 years
- SQL
- APIs
- Loan repayment program
- Tuition reimbursement
Applied AI Engineer, Founding Team
Accenture —Raleigh, NC
- $68,300 - $218,800 a year
- Full-time
- Oracle
- Research
- Machine learning
- Paid holidays
- Disability insurance
AI Application Development Engineer
Lenovo —Morrisville, NC
- Full-time
- Hybrid work
- Computer science
- Azure
- Computer Science
Cyber Forward Deployed Engineer - Consultant
Deloitte —Raleigh, NC
- $100,400 - $197,900 a year
- Full-time
- Azure
- Computer Science
- Mid-level
Senior Software Engineer Applied AI
Advanced Monitored Caregiving Inc. —Raleigh, NC
- $125,000 - $180,000 a year
- Full-time
- Remote
- US work authorization
- Senior level
Member of Technical Staff
Sciemo —Raleigh-Durham, NC
- $150,000 - $300,000 a year
- Full-time
- Hybrid work
- System design
- SQL
- AWS
MLOps Engineer
DPR Construction —Raleigh-Durham, NC
- Full-time
- Computer Science
- 5 years
- Bachelor's degree
AI Modeling Specialist Engineer
Lenovo —Morrisville, NC
- Full-time
- Computer Science
- Research
- Mid-level
Sr. Manager Data Science - Gen AI and Content Systems
LexisNexis —Raleigh, NC
- $118,300 - $219,800 a year
- Full-time
- Computer science
- Azure
- Computer Science
- Disability insurance
- Health insurance
AVP, AI (Data Science/Engineer) Remote - EST
Arch Capital Group Ltd. —Raleigh, NC
- $185,000 - $235,000 a year
- Full-time
- Remote
- Computer science
- Computer Science
- 3 years
- Paid parental leave
- AD&D insurance
Principal Machine Learning Engineer I
LexisNexis —Raleigh, NC
- $136,100 - $252,800 a year
- Full-time
- Computer Science
- System design
- Master's degree
Sr AI Engineer (RAG Specialist with Strong Python Skills)
LexisNexis —Raleigh, NC
- $104,900 - $174,700 a year
- Full-time
- Azure
- Research
- Senior level
- Parental leave
- Flexible schedule
Senior MLOps Engineer- Remote[Candidates must work PST hours]
OMG Technology —Raleigh, NC
- $60 - $70 an hour
- Part-time
- Remote
- Azure
- No experience needed
- High school diploma or GED
Quick Apply
10d

I want to receive the latest job alert for ml engineer in cary, nc

By signing in to your account, you agree to SimplyHired's Terms of Service and consent to our Cookie and Privacy Policy.

Explore jobs in more locations

ml engineer jobs near cary, nc

AI Engineer

GEI Consultants -
Cary, NC

Quick Apply

Job Details

Full-time
$110,000 - $150,000 a year

Benefits

Profit sharing
Commuter assistance
Paid parental leave
Paid holidays
Health insurance
Dental insurance
401(k)
Tuition reimbursement
Paid time off
Cell phone reimbursement
Parental leave
Vision insurance
Opportunities for advancement

Qualifications

AI models
Software engineering
Generative models
Big data systems
Enterprise solutions implementation
AI platforms (beyond public GPTs)
Technical solutions implementation
Machine learning cloud services
Model deployment
Data Security (Data management)
Developing large-scale AI models
Cloud solution engineering
Implementing IT solutions
Generative AI

Full Job Description

Description

Your role at GEI.

The AI Engineer is responsible for the development of AI solutions, typically leveraging pretrained models and copilots, to support GEI’s priority digital and AI initiatives. This role focuses on building, deploying, and integrating AI capabilities into business workflows in a secure, scalable, and maintainable manner.

The AI Engineer plays a hands-on role in active AI Solutions Factory use cases by implementing AI-based solutions, integrating enterprise data sources, and supporting solution reliability and performance. This role works closely with solution architects and platform teams to ensure AI solutions are production-ready, aligned with GEI standards, and capable of scaling across use cases.

Essential Responsibilities & Duties

Build and deploy AI-based solutions using pretrained models and Copilot technologies.
Design and implement prompt flows, plugins, and orchestrations using Copilot Studio and Azure Functions.
Integrate AI capabilities into business workflows and applications.
Integrate enterprise data sources securely, including APIs, Graph connectors, retrieval-augmented generation (RAG), and event-driven patterns.
Maintain and optimize Power BI dashboards that support AI-enabled workflows and insights.
Instrument AI solutions for telemetry, reliability, performance monitoring, and cost control.
Provide technical support and troubleshooting for deployed AI solutions.
Identify implementation risks and support mitigation strategies in collaboration with architecture and platform teams.

Minimum Qualifications

4+ years of software engineering experience, with at least 1 year building Generative AI applications.
Experience with Generative AI Large Language Models (LLMs), including solution development and fine-tuning for domain-specific tasks.
Proficiency in at least one programming language such as Python, PySpark, R, or SQL.
Experience delivering Generative AI (LLM) solutions, preferably on Azure.
Familiarity with Azure AI library APIs, including GPT, Codex, and DALL·E, and other frameworks (e.g., Databricks Mosaic) for integrating Generative AI into business workflows.
Knowledge of big data technologies such as Spark and Databricks; familiarity with TensorFlow and PyTorch is a plus.
Knowledge of Azure cloud services, including Azure AI Platform, Azure Data Factory, Azure Synapse, and Azure Cognitive Services, and their integration with ML workflows.
Familiarity with AI ethics, bias mitigation, explainability techniques, and responsible AI practices.
Knowledge of security best practices for AI solutions, including data encryption, access control, and endpoint protection.
Prior experience implementing AI/ML solutions in professional services, engineering, or construction environments is a plus.
Azure or Databricks certifications (e.g., Azure AI Engineer Associate, Azure Solutions Architect Expert, Databricks ML Professional, Databricks Data Engineer Professional) are a plus.

We are GEI.

Some of the world’s most pressing problems – from climate change to sustainable development, to critical infrastructure and the future of our energy supply – need our brightest and diverse minds working together to create safer, more resilient communities for tomorrow.

We are technical experts, collaborators, and entrepreneurs who draw from diverse backgrounds to solve our clients’ most complex challenges.

With several offices across North America, we offer a range of engineering, science, and technical consulting services. Our range of expertise, project types, and culture make us the choice for top talent in the AEC industry. See all our office locations here.

Employee-owned. Employee-focused.

As an employee-owned company, our employees support our flat leadership structure, have a say in how our business operates and benefit from our financial success. We are committed to employee growth with career development opportunities, competitive total rewards, a well-being program, flexible work arrangements and more. Our company culture is driven by our 4 Cs – we are Client-Centered, Curious, Collaborative, and Community Minded – which support our focus on sustainability, safety, diversity, equity and inclusion. Get to know us better by visiting GEI’s career site here.

GEI’s Total Rewards Package Includes

Market-Competitive Compensation, including Eligibility for an Annual Performance Bonus
Pay Range For This Position: $110,000.00– $150,000.00/year
Comprehensive Benefits Program, including Medical, Dental, Vision, Life, Disability and More
Well-Being Program and Paid Parental Leave
Commuter Benefits
Hybrid Work Schedules and Cell Phone Stipends
GEI University (GEIU) with Continuing Education Assistance and Tuition Reimbursement
Connecting Conversation Program with a Focus on Professional Development and Opportunities for Advancement
Support and Financial Rewards for Publication Awards, Professional Dues, and Professional Licenses
Paid Holidays and Generous Paid Time Off Program
Rewards and Recognition
GEI-Funded Profit Sharing and 401(k)
Opportunity to be an Owner and Shareholder (Learn more here)
A Vibrant Culture that is Focused on Partnership, Sustainability, Giving Back to Our Communities and Diversity, Equity and Inclusion
And More…

PHYSICAL REQUIREMENTS

WORK ENVIRONMENT

Functional Demands:

Sedentary

Light

Medium

Other

Activity Level Throughout Workday (check one per row)

Physical Activity Requirements

Occasional
(0-35% of day)

Frequent
(33-66% of day)

Continuous
(67-100% of day)

Not Applicable

Sitting

Standing

Walking

Climbing

Lifting (floor to waist level) (in pounds)

Lifting (waist level and above) (in pounds)

Carrying objects

Push/pull

Twisting

Bending

Reaching forward

Reaching overhead

Squat/kneel/crawl

Wrist position deviation

Pinching/fine motor skills

Keyboard use/repetitive motion

Taste or smell (taste=never)

Talk or hear

Accurate 20/40

Very Accurate 20/20

Not Applicable

Near Vision

Far Vision

Yes

Not Applicable

Color Discrimination

Sensory Requirements

Minimal

Moderate

Accurate

Not Applicable

Depth perception

Hearing

Environment Requirements

Occupational Exposure Risk Potential

Reasonably Anticipated

Not Anticipated

Blood borne pathogens

Chemical

Airborne communicable diseases

Extreme temperatures

Radiation

Uneven surfaces or elevations

Extreme noise levels

Dust/particulate matter

Other (exposure risks):

Usual workday hours:

Other work hours

GEI is an AA/equal opportunity employer, including disabled and veterans.

Quick Apply

Refine Your Search

ml engineer jobs in cary, nc

AI Engineer

AI/ML Engineer, Data Scientist

Senior AI/ML Engineer

Senior Kubernetes Platform Engineer - AI/ML Infrastructure

Software Engineer

Senior Machine Learning Engineer

DevOps Engineer

Principal Python Backend Engineer

Applied AI Engineer, Founding Team

AI Application Development Engineer

Cyber Forward Deployed Engineer - Consultant

Senior Software Engineer Applied AI

Member of Technical Staff

MLOps Engineer

AI Modeling Specialist Engineer

Sr. Manager Data Science - Gen AI and Content Systems

AVP, AI (Data Science/Engineer) Remote - EST

Principal Machine Learning Engineer I

Sr AI Engineer (RAG Specialist with Strong Python Skills)

Senior MLOps Engineer- Remote[Candidates must work PST hours]

I want to receive the latest job alert for ml engineer in cary, nc

Related Searches

Explore jobs in more locations

Job Seeker Tools

Employer Tools

Browse

Stay Connected