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Decision Engine Engineer

SAI Systems Intl., Inc.

Remote • Yesterday

Easy Apply

Contract

30 - 40

Sr Engineer - Price Publish (Price Decision Engine)

Target Corporation

Brooklyn Park, Minnesota • Today

Full-time

USD 98,000.00 - 176,000.00 per year

Lead Decision Intelligence Engineer - NBA

Humana Inc

Remote • Today

Full-time

USD 129,300.00 - 177,800.00 per year

Lead Decision Intelligence Engineer (AI) - NBA

Humana Inc

Remote • Today

Full-time

USD 129,300.00 - 177,800.00 per year

Senior Rules Engine and Workflow Engineer

SAI Systems Intl., Inc.

Remote • Yesterday

Easy Apply

Contract

30 - 40

Senior Sub System Lead Engineer - Engine Controls Development & Integration

General Motors

Warren, Michigan • Today

Full-time

Propulsion Engineer II - Spacecraft Engine Team

Firefly Aerospace

Cedar Park, Texas • Today

Full-time

Jet Engine MRO Engineer

GE Aerospace

Arkansas City, Kansas • Today

Full-time

Senior Software Design Engineer - Engine Controls

General Motors

Milford, Michigan • Today

Full-time

Senior Engine Performance Engineer

LiquidPiston, Inc.

Suffield, Connecticut • Today

Full-time

Engine Performance Engineer

LiquidPiston, Inc.

Suffield, Connecticut • Today

Full-time

Regional Chief Engineer - Engine

Stellantis

Auburn Hills, Michigan • Today

Full-time

Development Engineer

Rolls-Royce Corporation

Indianapolis, Indiana • Today

Full-time

USD 78,918.00 - 128,242.00 per year

Rules Engine Developer

Infinite Solutions Inc.

Remote • 4d ago

Easy Apply

Third Party, Contract

Depends on Experience

Staff Software Engineer - Calculation Engines

Addepar

New York, New York • 19d ago

Full-time

USD 150,000.00 - 234,000.00 per year

Deployment Engineer

Celonis

New York, New York • Today

Full-time

USD 110,000.00 - 150,000.00 per year

Data Engineer - Onboarding

Sardine Inc

No location provided • Today

Full-time

USD 150,000.00 - 205,000.00 per year

Director, Engineering

Tenaska Inc.

Omaha, Nebraska • Today

Full-time

Senior Gameplay Engineer

San Mateo, California • Today

Full-time

USD 108,900.00 - 161,160.00 per year

Distinguished Engineer

Elevance Health

Chicago, Illinois • Today

Full-time

USD 254,584.00 - 381,876.00 per year

Device Characterization Engineer

IBM

Yorktown Heights, New York • Today

Full-time

Project Engineer

Jobot

Brea, California • Today

Full-time

USD 120,000.00 - 140,000.00 per year

Lead Engineer

GE Vernova

Remote or Houston, Texas • Today

Full-time

USD 98,400.00 - 164,000.00 per year

Solutions Engineer (Chicago)

LangChain, Inc

Chicago, Illinois • Today

Full-time

USD 200,000.00 - 250,000.00 per year

Software Development Engineer III, Search

Mapbox

No location provided • Today

Full-time

USD 160,650.00 - 217,350.00 per year

Senior Staff Engineer, HPC & EDA Design Infrastructure

Samsung Electronics America

San Jose, California • Today

Full-time

USD 189,000.00 - 301,000.00 per year

Senior Engineer - Data Recommendations

Mill

San Bruno, California • Today

Full-time

USD 185,000.00 - 210,000.00 per year

Software Development Engineer, Open Data Analytics - Engines

Amazon Development Center U.S., Inc.

Redmond, Washington • 13d ago

Full-time

USD 193,300.00 - 261,500.00 per year

Senior Data Engineer

Gemini

Remote or New York, New York • Today

Full-time

USD 126,000.00 - 180,000.00 per year

Solutions Engineer (Texas)

LangChain, Inc

Dallas, Texas • Today

Full-time

USD 200,000.00 - 250,000.00 per year

SAI Systems Intl., Inc.

Job Details

Skills

Amazon Web Services
Artificial Intelligence
Continuous Delivery
Data Engineering
Continuous Integration
Kubernetes
Google Cloud Platform
Machine Learning Operations (ML Ops)
Machine Learning (ML)
Python
PySpark
Terraform
GitHub Copilot
Cursor
claude

Summary

We are seeking a highly skilled Senior Machine Learning / Data Engineer to build, enhance, and operate production-grade data and machine learning systems. This role sits at the intersection of data engineering, machine learning, real-time streaming, and MLOps, with a strong focus on continuously trained and automatically deployed ML solutions.

The ideal candidate has hands-on experience with Databricks, Kafka or comparable event-streaming technologies, machine learning pipelines, and automated model deployment. Experience with reinforcement learning is strongly preferred.

This role requires someone who can quickly understand an existing codebase and architecture, make meaningful enhancements independently, and take ownership of production ML/data workflows with minimal hand-holding.

Key Responsibilities

Design, develop, and maintain scalable data engineering and machine learning workloads using Databricks.
Build and optimize data pipelines supporting both batch and real-time ML workloads.
Develop event-driven data and ML solutions using Kafka or comparable streaming technologies.
Build machine learning pipelines covering data preparation, feature engineering, model training, evaluation, validation, and deployment.
Implement continuous training and automated model deployment pipelines, ensuring models can be retrained and promoted to production without relying on one-off batch processes.
Develop and maintain MLOps workflows for model versioning, monitoring, retraining, deployment, and rollback.
Apply machine learning techniques to high-volume, production-scale datasets.
Leverage reinforcement learning techniques where appropriate; hands-on RL experience is strongly preferred.
Integrate ML models with existing data platforms, APIs, services, and event-streaming architectures.
Monitor model performance, data quality, model drift, and pipeline reliability in production.
Work within and extend an existing enterprise codebase and architecture without extensive hand-holding.
Perform code reviews, write automated tests, troubleshoot production issues, and improve system reliability and scalability.
Collaborate with data engineers, ML engineers, software engineers, architects, and product stakeholders.
Use Claude or comparable AI coding assistants as part of day-to-day development for coding, debugging, refactoring, documentation, testing, and codebase exploration.
Identify opportunities to improve engineering productivity through automation and AI-assisted development.

Required Qualifications

7+ years of experience in data engineering, machine learning engineering, software engineering, or a closely related field.
Strong hands-on experience with Databricks for data engineering and/or machine learning workloads.
Strong experience with Python and modern software engineering practices.
Hands-on experience with Kafka or comparable event-streaming technologies.
Solid understanding of machine learning concepts, model development, and production ML systems.
Experience building automated ML training and deployment pipelines.
Experience with continuous training, model versioning, automated deployment, and production ML lifecycle management.
Ability to work effectively within an existing architecture and independently extend an established codebase.
Practical, day-to-day experience using Claude, GitHub Copilot, Cursor, or comparable AI coding assistants.
Strong understanding of CI/CD, testing, version control, and production engineering practices.
Experience working with cloud-based data and ML platforms.

Preferred Qualifications

Hands-on experience with reinforcement learning (RL).
Experience with ML optimization, experimentation, model evaluation, and hyperparameter tuning.
Experience with MLOps / LLMOps platforms and practices.
Experience with MLflow or comparable model lifecycle management tools.
Experience with Spark / PySpark and distributed data processing.
Experience with Kubernetes, Docker, Terraform, or other modern infrastructure technologies.
Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.
Experience implementing real-time feature engineering and streaming ML pipelines.
Familiarity with model monitoring, drift detection, observability, and automated retraining.

Core Technical Skills

Must Have:

Databricks
Python
Machine Learning
Kafka / Event Streaming
MLOps
Continuous Training
Automated Model Deployment
CI/CD
Production Software Engineering
AI Coding Assistants

Strongly Preferred:

Reinforcement Learning
MLflow
Spark / PySpark
Kubernetes / Docker
Cloud Platforms
Real-Time ML / Streaming
Model Monitoring & Drift Detection

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: 10101796
Position Id: 9070989
Posted 1 day ago

Company Info

About SAI Systems Intl., Inc.

Throughout more than thirty years of business, Saisystems International has been fortunate to create relationships with many like-minded companies across the world.

These relationships are founded in open communication, stewardship and the goal of providing the best for respective customers. A few of our business associations include:

Greater New England Minority Supplier Development Council (GNEMSDC)
U.S. Pan Asian American Chamber of Commerce (USPAACC)
National Minority Supplier Development Council (NMSDC)
Greater Valley Chamber of Commerce
Certified State of Connecticut Small Minority Business Enterprise

SAI Systems Technology, LLC is currently accepting resumes for a variety of positions. Please review the database of positions that we are seeking to fill and contact us for additional information about any specific opportunity.

Careers

Go to company profile

Fitment

Dice Job Match Score™

🔢 Crunching numbers...

Contact the job poster

Vignesh Kumar

Recruiter @ SAI Systems Intl., Inc.

View Profile

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Remote

•

Yesterday

Job SummaryWe are seeking a Senior Rules Engine & Workflow Engineer to design, develop, and operate high-volume, production-grade decisioning and workflow systems. The ideal candidate will have strong experience with Drools and rules-engine design patterns, durable workflow orchestration using Temporal or comparable platforms, and state-machine/lifecycle-driven architectures. This role requires an engineer who can work independently across architecture components, build highly reliable automated

Easy Apply

Contract

30 - 40

Mainframe with Security

Remote

•

Yesterday

Hi All, Please find the details below if you are interested share me your updated resume to Title: Mainframe with Security Location: Remote Hiring Mode: W2 (Contract) This role requires a candidate who can effectively engage with Application Architects and development teams to understand application architecture and integration patterns. The individual should be able to assess how applications can consume and interact with the enterprise authorization solution, identify appropriate integration

Easy Apply

Contract

Depends on Experience

SAI Systems Intl., Inc.

Job Details

Skills

Amazon Web Services
Artificial Intelligence
Continuous Delivery
Data Engineering
Continuous Integration
Kubernetes
Google Cloud Platform
Machine Learning Operations (ML Ops)
Machine Learning (ML)
Python
PySpark
Terraform
GitHub Copilot
Cursor
claude

Summary

Key Responsibilities

Design, develop, and maintain scalable data engineering and machine learning workloads using Databricks.
Build and optimize data pipelines supporting both batch and real-time ML workloads.
Develop event-driven data and ML solutions using Kafka or comparable streaming technologies.
Build machine learning pipelines covering data preparation, feature engineering, model training, evaluation, validation, and deployment.
Implement continuous training and automated model deployment pipelines, ensuring models can be retrained and promoted to production without relying on one-off batch processes.
Develop and maintain MLOps workflows for model versioning, monitoring, retraining, deployment, and rollback.
Apply machine learning techniques to high-volume, production-scale datasets.
Leverage reinforcement learning techniques where appropriate; hands-on RL experience is strongly preferred.
Integrate ML models with existing data platforms, APIs, services, and event-streaming architectures.
Monitor model performance, data quality, model drift, and pipeline reliability in production.
Work within and extend an existing enterprise codebase and architecture without extensive hand-holding.
Perform code reviews, write automated tests, troubleshoot production issues, and improve system reliability and scalability.
Collaborate with data engineers, ML engineers, software engineers, architects, and product stakeholders.
Use Claude or comparable AI coding assistants as part of day-to-day development for coding, debugging, refactoring, documentation, testing, and codebase exploration.
Identify opportunities to improve engineering productivity through automation and AI-assisted development.

Required Qualifications

7+ years of experience in data engineering, machine learning engineering, software engineering, or a closely related field.
Strong hands-on experience with Databricks for data engineering and/or machine learning workloads.
Strong experience with Python and modern software engineering practices.
Hands-on experience with Kafka or comparable event-streaming technologies.
Solid understanding of machine learning concepts, model development, and production ML systems.
Experience building automated ML training and deployment pipelines.
Experience with continuous training, model versioning, automated deployment, and production ML lifecycle management.
Ability to work effectively within an existing architecture and independently extend an established codebase.
Practical, day-to-day experience using Claude, GitHub Copilot, Cursor, or comparable AI coding assistants.
Strong understanding of CI/CD, testing, version control, and production engineering practices.
Experience working with cloud-based data and ML platforms.

Preferred Qualifications

Hands-on experience with reinforcement learning (RL).
Experience with ML optimization, experimentation, model evaluation, and hyperparameter tuning.
Experience with MLOps / LLMOps platforms and practices.
Experience with MLflow or comparable model lifecycle management tools.
Experience with Spark / PySpark and distributed data processing.
Experience with Kubernetes, Docker, Terraform, or other modern infrastructure technologies.
Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.
Experience implementing real-time feature engineering and streaming ML pipelines.
Familiarity with model monitoring, drift detection, observability, and automated retraining.

Core Technical Skills

Must Have:

Databricks
Python
Machine Learning
Kafka / Event Streaming
MLOps
Continuous Training
Automated Model Deployment
CI/CD
Production Software Engineering
AI Coding Assistants

Strongly Preferred:

Reinforcement Learning
MLflow
Spark / PySpark
Kubernetes / Docker
Cloud Platforms
Real-Time ML / Streaming
Model Monitoring & Drift Detection

Dice Id: 10101796
Position Id: 9070989
Posted 1 day ago

Company Info

About SAI Systems Intl., Inc.

Throughout more than thirty years of business, Saisystems International has been fortunate to create relationships with many like-minded companies across the world.

These relationships are founded in open communication, stewardship and the goal of providing the best for respective customers. A few of our business associations include:

Greater New England Minority Supplier Development Council (GNEMSDC)
U.S. Pan Asian American Chamber of Commerce (USPAACC)
National Minority Supplier Development Council (NMSDC)
Greater Valley Chamber of Commerce
Certified State of Connecticut Small Minority Business Enterprise

Go to company profile

Fitment

Dice Job Match Score™

🔢 Crunching numbers...

Contact the job poster

Vignesh Kumar

Recruiter @ SAI Systems Intl., Inc.

View Profile

Create job alert

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

Remote

•

Yesterday

Easy Apply

Contract

30 - 40

Mainframe with Security

Remote

•

Yesterday

Easy Apply

Contract

Depends on Experience

Decision Engine Engineer

Skills

Summary

Key Responsibilities

Required Qualifications

Preferred Qualifications

Core Technical Skills

Dice Job Match Score™

Vignesh Kumar

Similar Jobs

Decision Engine Engineer

SAI Systems Intl., Inc.

Job Details

Skills

Summary

Key Responsibilities

Required Qualifications

Preferred Qualifications

Core Technical Skills

Company Info

About SAI Systems Intl., Inc.

Dice Job Match Score™

Vignesh Kumar

Similar Jobs