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Data Scientist (AWS SageMaker & MLOps) Houston, Tx USA

BURGEON IT SERVICES LLC

Hybrid in Houston, Texas • Today

Easy Apply

Contract

$50 - $60

Job Details

Skills

Build and deploy classical machine learning models using AWS SageMaker.

Summary

Role: Data Scientist (AWS SageMaker & MLOps) 
Location: Houston, USA 
Experience: 7+ years overall, with 4 7 years of relevant experience 
Industry: Oil & Gas 
Job type:12 months plus 
Please send your updated resume to pranayatburgeonitsdotcom 
Key Responsibilities

Build and deploy classical machine learning models using AWS SageMaker.
Host and serve ML models in production environments.
Implement ML model monitoring, telemetry, and performance tracking.
Set up monitoring dashboards and alerts using Prometheus, Grafana, or equivalent tools.
Maintain and monitor deployed models for reliability and performance.

Mandatory Skills

Strong experience in Data Science and classical Machine Learning.
Hands-on experience building ML models using AWS SageMaker.
Experience deploying, hosting, and serving ML models.
Practical experience with MLOps and production model monitoring.

Experience with Prometheus, Grafana, or equivalent monitoring tools.

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: 10500016
Position Id: 9115703
Posted 23 hours ago

Fitment

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Hybrid in Houston, Texas

•

Today

Position Title: Machine Learning Engineer AWS SageMaker / MLOps Location: Houston, TX-Hybrid Contract Duration: Long term contract Visa: /Only Domain (Industry) Oil and Gas Job Description: With classical machine learning experience. The individual is required to build machine learning models using AWS Sage maker. The project also requires hosting the models and setting up monitoring/telemetry using PrometheGrafana or any equivalent tool. Looking for experienced ML Engineers with expertise i

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Contract

Depends on Experience

Senior Machine Learning Platform Engineer - Model Hosting & MLOps

Spring, Texas

•

Today

Senior Machine Learning Platform Engineer - Model Hosting & MLOps Description - Role summary We are hiring a Senior Machine Learning Platform Engineer to build the infrastructure and engineering workflows that take custom models from development into reliable production use. This is a hands-on role for someone who has hosted LLMs on GPU infrastructure, developed the cloud platform around model serving, and built MLOps pipelines that make releases repeatable and observable. You will work with

Full-time

USD 147,050.00 - 230,850.00 per year

Senior Machine Learning Engineer

Spring, Texas

•

Today

Senior Machine Learning Engineer Description - Job Summary This role is responsible for leveraging expertise to design, develop, and implement cutting-edge machine learning models that solve complex challenges and enhance business processes. The role collaborates with cross-functional teams, to transform data into actionable insights by selecting, training, and optimizing machine learning algorithms. The role ensures that ML models are properly trained, validated, and optimized for performanc

Full-time

USD 147,050.00 - 230,850.00 per year

Data Scientist

Michigan

•

Today

Job Title : Data Scientist Location: Auburn Hills, MI (Onsite) Job Type: Long-term contract Responsibilities Strong hands-on experience building and deploying ML solutions on AWS. Proven experience with LLMs, including OpenAI models/APIs, and current knowledge of leading AI/LLM model families. Hands-on experience building agentic AI systems (multi-agent orchestration, tool use, autonomous workflows). Experience building RAG systems, including semantic RAG (embeddings, vector databases, seman

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Third Party

Job Details

Skills

Build and deploy classical machine learning models using AWS SageMaker.

Summary

Role: Data Scientist (AWS SageMaker & MLOps) 
Location: Houston, USA 
Experience: 7+ years overall, with 4 7 years of relevant experience 
Industry: Oil & Gas 
Job type:12 months plus 
Please send your updated resume to pranayatburgeonitsdotcom 
Key Responsibilities

Build and deploy classical machine learning models using AWS SageMaker.
Host and serve ML models in production environments.
Implement ML model monitoring, telemetry, and performance tracking.
Set up monitoring dashboards and alerts using Prometheus, Grafana, or equivalent tools.
Maintain and monitor deployed models for reliability and performance.

Mandatory Skills

Strong experience in Data Science and classical Machine Learning.
Hands-on experience building ML models using AWS SageMaker.
Experience deploying, hosting, and serving ML models.
Practical experience with MLOps and production model monitoring.

Experience with Prometheus, Grafana, or equivalent monitoring tools.

Dice Id: 10500016
Position Id: 9115703
Posted 23 hours ago

Fitment

Dice Job Match Score™

To see how well you match this job, please log in or create an account.

Once logged in, be sure to complete your profile to get the most accurate match score.

Create job alert

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

Hybrid in Houston, Texas

•

Today

Easy Apply

Contract

Depends on Experience

Senior Machine Learning Platform Engineer - Model Hosting & MLOps

Spring, Texas

•

Today

Full-time

USD 147,050.00 - 230,850.00 per year

Senior Machine Learning Engineer

Spring, Texas

•

Today

Full-time

USD 147,050.00 - 230,850.00 per year

Data Scientist

Michigan

•

Today

Easy Apply

Third Party

Data Scientist (AWS SageMaker & MLOps) Houston, Tx USA

Skills

Summary

Dice Job Match Score™

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Data Scientist (AWS SageMaker & MLOps) Houston, Tx USA

Job Details

Skills

Summary

Dice Job Match Score™

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