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AI/ML Engineer

StoneGate-Technologies LLC

Hybrid in Austin, Texas • Today

Easy Apply

Contract

Up to $80

Java AI/ML Engineer - Independent Consultants only

SANS

Hybrid in Austin, Texas • 8d ago

Easy Apply

Full-time

Depends on Experience

AI/ML Engineer / Architect with AWS Bedrock Experience

SumasEdge Corporation

Hybrid in Austin, Texas • Today

Easy Apply

Contract, Third Party

Depends on Experience

Lead AI/ ML Engineer with Google Cloud Platform and Senior AI/ ML Engineer with Google Cloud Platform - Remote role

HPTech Inc.

Remote • 2d ago

Easy Apply

Contract

Depends on Experience

AI/ML Engineer (GenAI), G&A Solutions Engineering (GSE)

Apple, Inc.

Austin, Texas • Today

Full-time

AI/ML Engineer

DecisionPoint | Cortek

Remote • Today

Full-time

USD 13,665.00 per month

AI / Machine Learning Engineer

Cybermedia Technologies LLC

Remote • Today

Full-time

AI/ML Engineer

Georgia IT

Remote • Yesterday

Easy Apply

Contract

45 - 55

Artificial Intelligence/Machine Learning (AI/ML) Engineer

ANALYTICA

Remote or Bethesda, Maryland • Today

Full-time

AI/ML Engineer

Tenex.AI Inc

Remote • Today

Full-time

Artificial Intelligence/Machine Learning Engineer

Booz Allen Hamilton

Remote • Today

Full-time

USD 99,000.00 - 225,000.00 per year

AI/ML Logic Design Engineer-Senior

Qualcomm Technologies

Austin, Texas • Today

Full-time

USD 127,200.00 - 190,800.00 per year

AI/ML Engineer - Lifesciences

SyrenCloud LLC

Remote • 28d ago

Easy Apply

Contract

60 - 65

Core AI/ML Engineer

AspireIT Solutions

Remote • 20d ago

Easy Apply

Contract, Third Party

$60 - $65

Senior AI/ML Engineer

Tenex.AI Inc

Remote • Today

Full-time

Senior AI/ML Engineer - Remote

UnitedHealth Group

Remote or Eden Prairie, Minnesota • Today

Full-time

USD 120,100.00 - 214,500.00 per year

Lead AI/ML Engineer - Remote

UnitedHealth Group

Remote or Schaumburg, Illinois • Today

Full-time

USD 145,500.00 - 249,500.00 per year

Senior AI ML Engineer - Remote

UnitedHealth Group

Remote or Eden Prairie, Minnesota • Today

Full-time

USD 120,100.00 - 214,500.00 per year

Lead AI/ML Engineer - Remote

UnitedHealth Group

Remote or San Francisco, California • Today

Full-time

USD 145,500.00 - 249,500.00 per year

AI / Machine Learning Engineer (Data Science) – Remote

BMR Infotek

Remote • 16d ago

Easy Apply

Full-time

90,000 - 160,000

Lead AI ML Engineer - Remote

UnitedHealth Group

Remote or Eden Prairie, Minnesota • Today

Full-time

USD 145,500.00 - 249,500.00 per year

Lead AI/ML Engineer - Remote

UnitedHealth Group

Remote or Eden Prairie, Minnesota • Today

Full-time

USD 145,500.00 - 249,500.00 per year

Senior AI/ML Engineer - Remote

UnitedHealth Group

Remote or Minnetonka, Minnesota • Today

Full-time

USD 91,700.00 - 163,700.00 per year

Senior AI/ML Engineer with PyTorch, ?++

EPAM Systems

Remote • Today

Full-time

Senior AI/ML Engineer (LLM & Generative AI)

Zolon Tech Solutions Inc

Remote • Yesterday

Easy Apply

Contract, Third Party

Depends on Experience

Lead AI ML Engineer - AWS Connect - Remote

UnitedHealth Group

Remote or Schaumburg, Illinois • Today

Full-time

USD 112,700.00 - 193,200.00 per year

Sr AI/ML Engineer with Medical Imaging

People Force Consulting Inc

Remote • Today

Easy Apply

Third Party, Contract

Principal AI/ML Engineer - Sales Engineer- Remote

UnitedHealth Group

Remote or Eden Prairie, Minnesota • Today

Full-time

USD 164,600.00 - 282,200.00 per year

Senior AI/ML Engineer - Remote (Central Time Zone)

UnitedHealth Group

Remote or Eden Prairie, Minnesota • Today

Full-time

USD 91,700.00 - 163,700.00 per year

Lead AI/ML Engineer-Remote Nationwide or Hybrid in MN/DC

UnitedHealth Group

Remote or Boston, Massachusetts • Today

Full-time

USD 145,500.00 - 249,500.00 per year

StoneGate-Technologies LLC

Job Details

Skills

Amazon Web Services
Artificial Intelligence
Cloud Computing
Continuous Delivery
Data Engineering
Data Governance
Machine Learning Operations (ML Ops)
Machine Learning (ML)
Natural Language Processing
Python

Summary

Title: AI/ML Engineer 
Location: Austin, TX / Cupertino, CA 
Schedule: Hybrid (Tue Thu onsite, Mon & Fri remote) 
Contract: Longterm 
Note: Local candidates strongly preferred 
Start: Day 1 Onsite (No exceptions)

Position Summary

We are seeking an experienced AI/ML Engineer with strong handson experience in machine learning development, model deployment, and data engineering. The ideal candidate has worked closely with Data Scientist teams, supported model experimentation, and built productiongrade ML systems.

MustHave Skills

5 10+ years of experience in AI/ML engineering

Proven experience collaborating directly with Data Scientists on model development, feature engineering, and productionization

Strong handson experience with:

Python (NumPy, Pandas, ScikitLearn, PyTorch, TensorFlow)

ML pipelines, training, validation, deployment

Data processing (Spark, Hadoop, distributed systems)

Cloud experience: AWS or Google Cloud Platform

Experience building endtoend ML workflows

Strong understanding of MLOps, CI/CD, automation, model versioning

```
Experience with SQL and NoSQL databases
```

Ability to work onsite 3 days/week (Tue Thu)

Excellent communication and crossfunctional collaboration skills

NicetoHave Skills

Experience with LLMs, NLP, embeddings, vector databases

Familiarity with feature stores, model registries, ML observability tools

Experience with Docker, Kubernetes, microservices

Experience supporting Data Science experimentation and scaling models to production

Background in data governance, privacy, and compliance


Key Responsibilities

Work closely with Data Scientist teams to build, optimize, and deploy ML models

Develop scalable ML pipelines, automation frameworks, and data workflows

Support model experimentation, tuning, and performance optimization

Deploy ML solutions using cloudnative MLOps best practices

Build tools for model monitoring, drift detection, and reliability

Collaborate with engineering, analytics, and product teams

Troubleshoot complex ML pipeline issues and drive rootcause analysis

Maintain documentation, runbooks, and engineering standards

Ensure production readiness and continuous improvement of ML systems

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 91093695
Position Id: 9060785
Posted 5 hours ago

Company Info

About StoneGate-Technologies LLC

With more than 100+ IT Professionals, we have transactions with 30+ clients. We placed professionals, with expertise in fields such as information systems, and IT infrastructure, enabling us to deliver one-stop solutions addressing virtually the full spectrum of technical needs in the industry in the USA.
In terms of the number of IT professionals and the extensiveness of the fields covered, Stone gate Technologies LLC is one of the USA's best providers of technical human resources services.
Intensifying global competition means that power relationships in IT/ITES circles are shifting rapidly. Along with this, USA's IT structure is faced with the need to transform significantly. Our role is to keep up with USA’s ever-changing industry and capture client needs so as to be the fastest in our industry at providing clients with the human resources and best technical services.
The vision of the SGT is to help engineers realize their dreams, provide clients with high-quality services that surpass their expectations, and consequently contribute to a better society for our clients.

Go to company profile

Fitment

Dice Job Match Score™

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Contact the job poster

Vannamoli Rengasamy

Business Development Manager @ StoneGate-Technologies LLC

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StoneGate-Technologies LLC

Job Details

Skills

Amazon Web Services
Artificial Intelligence
Cloud Computing
Continuous Delivery
Data Engineering
Data Governance
Machine Learning Operations (ML Ops)
Machine Learning (ML)
Natural Language Processing
Python

Summary

Title: AI/ML Engineer 
Location: Austin, TX / Cupertino, CA 
Schedule: Hybrid (Tue Thu onsite, Mon & Fri remote) 
Contract: Longterm 
Note: Local candidates strongly preferred 
Start: Day 1 Onsite (No exceptions)

Position Summary

We are seeking an experienced AI/ML Engineer with strong handson experience in machine learning development, model deployment, and data engineering. The ideal candidate has worked closely with Data Scientist teams, supported model experimentation, and built productiongrade ML systems.

MustHave Skills

5 10+ years of experience in AI/ML engineering

Proven experience collaborating directly with Data Scientists on model development, feature engineering, and productionization

Strong handson experience with:

Python (NumPy, Pandas, ScikitLearn, PyTorch, TensorFlow)

ML pipelines, training, validation, deployment

Data processing (Spark, Hadoop, distributed systems)

Cloud experience: AWS or Google Cloud Platform

Experience building endtoend ML workflows

Strong understanding of MLOps, CI/CD, automation, model versioning

```
Experience with SQL and NoSQL databases
```

Ability to work onsite 3 days/week (Tue Thu)

Excellent communication and crossfunctional collaboration skills

NicetoHave Skills

Experience with LLMs, NLP, embeddings, vector databases

Familiarity with feature stores, model registries, ML observability tools

Experience with Docker, Kubernetes, microservices

Experience supporting Data Science experimentation and scaling models to production

Background in data governance, privacy, and compliance


Key Responsibilities

Work closely with Data Scientist teams to build, optimize, and deploy ML models

Develop scalable ML pipelines, automation frameworks, and data workflows

Support model experimentation, tuning, and performance optimization

Deploy ML solutions using cloudnative MLOps best practices

Build tools for model monitoring, drift detection, and reliability

Collaborate with engineering, analytics, and product teams

Troubleshoot complex ML pipeline issues and drive rootcause analysis

Maintain documentation, runbooks, and engineering standards

Ensure production readiness and continuous improvement of ML systems

Dice Id: 91093695
Position Id: 9060785
Posted 5 hours ago

Company Info

About StoneGate-Technologies LLC

Go to company profile

Fitment

Dice Job Match Score™

🔢 Crunching numbers...

Contact the job poster

Vannamoli Rengasamy

Business Development Manager @ StoneGate-Technologies LLC

View Profile

Create job alert

Never miss an opportunity! Create an alert based on the job you applied for.

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