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Principal Consultant - AI/ML

ADDSOURCE

Sugar Land, Texas • Today

Easy Apply

Third Party, Contract

Principal AI/ML Software Engineer

Hexagon AB

Houston, Texas • Today

Full-time

Principal AI Developer

Energy Transfer

Houston, Texas • Today

Full-time

Principal Engineer, AI & Emerging Technology

Targa Resources

Houston, Texas • Today

Full-time

AI Principal Technical Consultant (ServiceNow AI)

Vaco by Highspring

Remote • 7d ago

Easy Apply

Contract

$175

Principal Technical Architect - AI/ML

Snowflake Inc.

Remote or New York, New York • Today

Full-time

USD 196,000.00 - 257,200.00 per year

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

Principal Machine Learning Engineer- AI Context

HubSpot

Remote • Today

Full-time

AI/ML Engineer (Eng - Senior) Cementing

Halliburton

Houston, Texas • Today

Full-time

AI/ML Data Engineer - Landmark

Halliburton

Houston, Texas • Today

Full-time

AI Principal Technical Consultant, AI Services

Ahead LLC

Remote • Today

Full-time

USD 230,000.00 - 300,000.00 per year

Principal Machine Learning Engineer, Artificial Intelligence (AI) Required, Work From Home - G

Next Step Systems

Remote • 2d ago

Easy Apply

Full-time

$170,000 - $200,000

Sr. Lead Software Engineer - AWS Data Engineer - AI/ML

JPMorgan Chase & Co.

Houston, Texas • Today

Full-time

AI Principal Machine Learning Engineer (10189)

Extreme Networks

Remote or Washington • Today

Full-time

USD 170,000.00 - 240,000.00 per year

Principal AI Engineering Consultant

Acunor Infotech

Remote or California • Today

Easy Apply

Full-time

$$160000 - 200000 per year

Senior Machine Learning Engineer - Agentic AI

MD Anderson Cancer Center

Houston, Texas • Today

Full-time

AI Principal Consultant

Computacenter

Remote or California • Today

Full-time

USD 175,000.00 - 220,000.00 per year

Senior AI/ML Engineer

Apex Systems

Houston, Texas • Today

Easy Apply

Full-time

$65 - $76 per hour

Lead Software Engineer (Full Stack - Java/Spring Boot/React, AI/ML, AWS)

JPMorgan Chase & Co.

Houston, Texas • Today

Full-time

Data & AI Strategy and Delivery Consultant

CGI

Houston, Texas • Today

Full-time

USD 89,600.00 - 218,200.00 per year

Principal Machine Learning Systems Engineer

Atlassian Inc.

Remote • Today

Full-time

USD 236,700.00 - 309,025.00 per year

Distinguished AI/ML Engineer

Frontier Technology Inc

Remote or Dayton, Ohio • 2d ago

Full-time

Distinguished AI/ML Engineer

Frontier Technology Inc

Remote or Huntsville, Alabama • 2d ago

Full-time

Distinguished AI/ML Engineer

Frontier Technology Inc

Remote or Chesapeake, Virginia • 2d ago

Full-time

Distinguished AI/ML Engineer

Frontier Technology Inc

Remote or Colorado Springs, Colorado • 2d ago

Full-time

USD 190,000.00 - 220,000.00 per year

Distinguished AI/ML Engineer

Frontier Technology Inc

Remote or Washington, District of Columbia • 2d ago

Full-time

USD 190,000.00 - 220,000.00 per year

Principal Machine Learning Engineer

Extreme Networks

Remote or Washington • Today

Full-time

Principal Machine Learning Engineer

Atlassian Inc.

Remote or Mountain View, California • Today

Full-time

USD 209,700.00 - 273,775.00 per year

ServiceNow AI Control Tower Consultant

Lumiere Systems

Houston, Texas • 10d ago

Full-time

Principal Machine Learning System Engineer

Atlassian Inc.

Remote or Seattle, Washington • Today

Full-time

USD 209,700.00 - 273,775.00 per year

ADDSOURCE

Job Details

Skills

Amazon Web Services
communication skills
Machine Learning
automation
API Gateway
tensorflow
pytorch
Data Analysis
Pandas
Workflows
Data Pipelines
Mentoring
Artificial Intelligence
Software Architecture
Sensors
Hydraulics
Compressors
Operational Data Store
HEC-RAS
Code Review
Machine Learning Operations
Python (Programming Language)
Self Motivation
Management of Software Versions
Technical Management
Continuous Integration
NumPy
Information Engineering
Amazon S3
Scikit Learn
Feature Engineering
Monitoring of Systems
Data Lakehouse
Xgboost
Time Series
Internet of Things
Architectural Patterns
Supervisory Control and Data Acquisition (SCADA)
Prophet
Recurrent Neural Networks
Combustion Turbines
Pipeline Reporting
Scenario Design

Amazon Web Services
communication skills
Machine Learning
automation
API Gateway
tensorflow
pytorch
Data Analysis
Pandas
Workflows
Data Pipelines
Mentoring
Artificial Intelligence
Software Architecture
Sensors
Hydraulics
Compressors
Operational Data Store
HEC-RAS
Code Review
Machine Learning Operations
Python (Programming Language)
Self Motivation
Management of Software Versions
Technical Management
Continuous Integration
NumPy
Information Engineering
Amazon S3
Scikit Learn
Feature Engineering
Monitoring of Systems
Data Lakehouse
Xgboost
Time Series
Internet of Things
Architectural Patterns
Supervisory Control and Data Acquisition (SCADA)
Prophet
Recurrent Neural Networks
Combustion Turbines
Pipeline Reporting
Scenario Design

Summary

Role: Principal Consultant - AI/ML

Location - Houston, TX (Hybrid, Needs to be able to travel to Houston every other week)

Role Summary

As a Senior Consultant (L6), you are an experienced individual contributor who independently drives one or more AI/ML workstreams end-to-end. You own delivery outcomes for your assigned workstream, make key technical decisions, and interface directly with customer technical leads and stakeholders. You mentor L4 (Associate) and L5 (Staff) consultants on the team, providing technical guidance and reviewing their deliverables. You bring deep expertise in ML Ops and time-series forecasting to architect and implement scalable solutions on AWS.

Key Responsibilities

Design, develop, and deploy machine learning models for latent capacity prediction across pipeline systems (weather, gas turbine HP, compressor flow, line pack, equipment performance)
Build and maintain ML Ops infrastructure on AWS SageMaker including model registry, versioning, CI/CD pipelines, and multi-environment endpoints (Dev, Pre-Prod, Prod)
Conduct exploratory data analysis and feature engineering for time-series forecasting of pipeline operational data (SCADA, performance curves, hydraulic models)
Develop ensemble model strategies combining LSTM, Prophet, and XGBoost for improved prediction accuracy of latent capacity
Build automated model deployment workflows, training/evaluation pipelines, and retraining frameworks
Design real-time and batch inference architectures with API Gateway integration and model monitoring
Collaborate with data engineering team on feature stores and data pipeline integration from Bronze/Silver/Gold data lakehouse layers
Support hydraulic model integration with NextGen software for automated scenario generation
Independently own delivery of assigned ML workstream, driving technical decisions and ensuring quality
Mentor L4/L5 team members on ML best practices, code reviews, and architectural patterns
Interface directly with customer technical leads to align on requirements, review progress, and resolve technical blockers

Required Skills & Qualifications

Strong experience with AWS SageMaker, including SageMaker Pipelines, Model Registry, and Feature Store
Proficiency in time-series forecasting (LSTM, Prophet, XGBoost, ensemble methods)
Experience with ML Ops practices: CI/CD for ML, model monitoring, automated retraining
Python (NumPy, Pandas, scikit-learn, TensorFlow/PyTorch)
Experience with real-time and batch inference architectures
Knowledge of data lakehouse architectures (S3, Glue, Redshift)
Understanding of industrial/operational data (SCADA, IoT sensors) is a plus
Experience in Energy & Utilities domain preferred
Demonstrated ability to independently lead technical workstreams and make architectural decisions
Experience mentoring junior engineers or consultants
Strong communication skills for customer-facing interactions

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: 91122967
Position Id: 2026-4395
Posted 22 hours ago

Company Info

About ADDSOURCE

AddSource is a premier staffing and workforce solutions partner headquartered in Delaware, USA, with operations in Alberta, Canada under the brand name AddSource.

We specialize in connecting top-tier talent with leading organizations across diverse industry sectors.

With a strong commitment to excellence, our mission is to deliver innovative, customized staffing solutions that empower clients to achieve their goals while helping candidates advance their careers.

Go to company profile

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Rahil Khan

Recruiter @ ADDSOURCE

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More jobs at ADDSOURCE in Sugar Land, TX

ADDSOURCE

Job Details

Skills

Amazon Web Services
communication skills
Machine Learning
automation
API Gateway
tensorflow
pytorch
Data Analysis
Pandas
Workflows
Data Pipelines
Mentoring
Artificial Intelligence
Software Architecture
Sensors
Hydraulics
Compressors
Operational Data Store
HEC-RAS
Code Review
Machine Learning Operations
Python (Programming Language)
Self Motivation
Management of Software Versions
Technical Management
Continuous Integration
NumPy
Information Engineering
Amazon S3
Scikit Learn
Feature Engineering
Monitoring of Systems
Data Lakehouse
Xgboost
Time Series
Internet of Things
Architectural Patterns
Supervisory Control and Data Acquisition (SCADA)
Prophet
Recurrent Neural Networks
Combustion Turbines
Pipeline Reporting
Scenario Design

Amazon Web Services
communication skills
Machine Learning
automation
API Gateway
tensorflow
pytorch
Data Analysis
Pandas
Workflows
Data Pipelines
Mentoring
Artificial Intelligence
Software Architecture
Sensors
Hydraulics
Compressors
Operational Data Store
HEC-RAS
Code Review
Machine Learning Operations
Python (Programming Language)
Self Motivation
Management of Software Versions
Technical Management
Continuous Integration
NumPy
Information Engineering
Amazon S3
Scikit Learn
Feature Engineering
Monitoring of Systems
Data Lakehouse
Xgboost
Time Series
Internet of Things
Architectural Patterns
Supervisory Control and Data Acquisition (SCADA)
Prophet
Recurrent Neural Networks
Combustion Turbines
Pipeline Reporting
Scenario Design

Summary

Role: Principal Consultant - AI/ML

Location - Houston, TX (Hybrid, Needs to be able to travel to Houston every other week)

Role Summary

Key Responsibilities

Design, develop, and deploy machine learning models for latent capacity prediction across pipeline systems (weather, gas turbine HP, compressor flow, line pack, equipment performance)
Build and maintain ML Ops infrastructure on AWS SageMaker including model registry, versioning, CI/CD pipelines, and multi-environment endpoints (Dev, Pre-Prod, Prod)
Conduct exploratory data analysis and feature engineering for time-series forecasting of pipeline operational data (SCADA, performance curves, hydraulic models)
Develop ensemble model strategies combining LSTM, Prophet, and XGBoost for improved prediction accuracy of latent capacity
Build automated model deployment workflows, training/evaluation pipelines, and retraining frameworks
Design real-time and batch inference architectures with API Gateway integration and model monitoring
Collaborate with data engineering team on feature stores and data pipeline integration from Bronze/Silver/Gold data lakehouse layers
Support hydraulic model integration with NextGen software for automated scenario generation
Independently own delivery of assigned ML workstream, driving technical decisions and ensuring quality
Mentor L4/L5 team members on ML best practices, code reviews, and architectural patterns
Interface directly with customer technical leads to align on requirements, review progress, and resolve technical blockers

Required Skills & Qualifications

Strong experience with AWS SageMaker, including SageMaker Pipelines, Model Registry, and Feature Store
Proficiency in time-series forecasting (LSTM, Prophet, XGBoost, ensemble methods)
Experience with ML Ops practices: CI/CD for ML, model monitoring, automated retraining
Python (NumPy, Pandas, scikit-learn, TensorFlow/PyTorch)
Experience with real-time and batch inference architectures
Knowledge of data lakehouse architectures (S3, Glue, Redshift)
Understanding of industrial/operational data (SCADA, IoT sensors) is a plus
Experience in Energy & Utilities domain preferred
Demonstrated ability to independently lead technical workstreams and make architectural decisions
Experience mentoring junior engineers or consultants
Strong communication skills for customer-facing interactions

Dice Id: 91122967
Position Id: 2026-4395
Posted 22 hours ago

Company Info

About ADDSOURCE

AddSource is a premier staffing and workforce solutions partner headquartered in Delaware, USA, with operations in Alberta, Canada under the brand name AddSource.

We specialize in connecting top-tier talent with leading organizations across diverse industry sectors.

With a strong commitment to excellence, our mission is to deliver innovative, customized staffing solutions that empower clients to achieve their goals while helping candidates advance their careers.

Go to company profile

Fitment

Dice Job Match Score™

👤 Reviewing your profile...

Contact the job poster

Rahil Khan

Recruiter @ ADDSOURCE

View Profile

Create job alert

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

Similar Jobs

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More jobs at ADDSOURCE in Sugar Land, TX