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AI/ML Engineer

XA.net

Warren, Michigan • Today

Full-time

AI/ML Engineer

TEKsystems c/o Allegis Group

Dearborn, Michigan • Today

Full-time

USD 50.00 - 75.00 per hour

AI/ML Engineer/Software Programmer

Magna

Auburn Hills, Michigan • Today

Full-time

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

HPTech Inc.

Remote • 3d ago

Easy Apply

Contract

Depends on Experience

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 • 2d ago

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 engineer/Architect

Maintec Technologies Inc

Remote • Today

Easy Apply

Full-time

Depends on Experience

AI/ML Engineer

Xylo Technologies, Inc.

Remote • Today

Easy Apply

Contract

85 - 90

Core AI/ML Engineer

AspireIT Solutions

Remote • 20d ago

Easy Apply

Contract, Third Party

$60 - $65

AI/ML Engineer - Lifesciences

SyrenCloud LLC

Remote • 29d ago

Easy Apply

Contract

60 - 65

Senior AI/ML Engineer

Tenex.AI Inc

Remote • Today

Full-time

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 • 17d 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

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

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

Contract, Third Party

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 FULL STACK ENGINEER

Talent Software Services, Inc

Remote • Today

Easy Apply

Contract, Third Party

$75 - $85

Senior AI/ML Engineer - Remote

UnitedHealth Group

Remote or Eden Prairie, Minnesota • Today

Full-time

USD 120,100.00 - 214,500.00 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

AI/ML Engineer - Fairfax, VA, Washington, DC, Silver Spring, MD, Philadelphia, PA, Wilmington, DE

TechniPros, LLC

Remote or Fairfax, Virginia • Today

Easy Apply

Contract

Depends on Experience

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

Job Details

Skills

Innovation
Systems Engineering
Manufacturing Operations
IT Infrastructure
Process Optimization
Real-time
Management
Storage
Assembly
Manufacturing Execution System
Collaboration
Continuous Integration
Continuous Delivery
Performance Monitoring
Computer Science
Electrical Engineering
Software Engineering
System Integration
Adapter
Customization
Python
PyTorch
TensorFlow
C#
C++
React.js
TypeScript
Backend Development
Middleware
Dependency Injection
Routing
PostgreSQL
Performance Tuning
Database
Kubernetes
Docker
Hardware Development
Software Design
Programmable Logic Controller
HMI
System Deployment
Inspection
Robotics
Transformer
Sensors
Artificial Intelligence
Computer Vision
Supervised Learning
CUDA
Optimization
Fusion
Data Compression
Training
Machine Learning Operations (ML Ops)
A/B Testing
Manufacturing
Machine Learning (ML)
Machine Vision
Image Processing
Quality Inspection
Algorithms

Innovation
Systems Engineering
Manufacturing Operations
IT Infrastructure
Process Optimization
Real-time
Management
Storage
Assembly
Manufacturing Execution System
Collaboration
Continuous Integration
Continuous Delivery
Performance Monitoring
Computer Science
Electrical Engineering
Software Engineering
System Integration
Adapter
Customization
Python
PyTorch
TensorFlow
C#
C++
React.js
TypeScript
Backend Development
Middleware
Dependency Injection
Routing
PostgreSQL
Performance Tuning
Database
Kubernetes
Docker
Hardware Development
Software Design
Programmable Logic Controller
HMI
System Deployment
Inspection
Robotics
Transformer
Sensors
Artificial Intelligence
Computer Vision
Supervised Learning
CUDA
Optimization
Fusion
Data Compression
Training
Machine Learning Operations (ML Ops)
A/B Testing
Manufacturing
Machine Learning (ML)
Machine Vision
Image Processing
Quality Inspection
Algorithms

Summary

We are seeking an experienced AI/ML Engineer with deep expertise in manufacturing systems and production AI to drive the next generation of intelligent manufacturing solutions. In this role, you will be responsible for designing, building, and deploying advanced AI/ML systems specifically tailored for manufacturing operations. You will leverage Domain-Specific LoRA fine-tuning, multi-modal AI models, and enterprise-grade infrastructure to solve complex manufacturing challenges across the company's global production facilities. This role requires hands-on technical execution combined with the ability to architect scalable, production-ready AI solutions that directly impact manufacturing efficiency, quality, and innovation.

Success in this role requires a unique blend of AI/ML expertise, manufacturing domain knowledge, and systems engineering excellence. You will work at the intersection of cutting-edge AI technology and real-world manufacturing operations, collaborating with plant engineers, quality teams, robotics specialists, and IT infrastructure teams to digitize Manufacturing.

What You'll Do

Design and implement Domain-Specific LoRA fine-tuning architectures for manufacturing AI applications, including quality inspection, predictive maintenance, process optimization, and robotics control.
Develop and deploy multi-modal AI systems that integrate machine vision, controls system, robotics controls, and production telemetry for real-time manufacturing intelligence.
Build production-grade ML infrastructure supporting model training, fine-tuning, deployment, and monitoring across distributed manufacturing environments.
Architect and develop full-stack AI applications using React/TypeScript frontend with custom state management and FastAPI backend with async patterns and optimized request routing.
Implement high-performance database solutions using PostgreSQL with pgvector optimization for embedding storage, query performance tuning, and distributed architectures.
Deploy and orchestrate AI services using Kubernetes with service mesh implementation, automated scaling strategies, and comprehensive monitoring and alerting.
Develop proprietary embedding models optimized for manufacturing domain knowledge, including defect patterns, assembly sequences, and process parameters
Optimize CUDA kernels and implement parameter-efficient training techniques for large-scale model fine-tuning on manufacturing datasets
Design and build machine vision systems for automated quality inspection, defect detection, and process verification
Train and deploy supervised learning models for robotics control and manufacturing execution system integration, enabling autonomous operations across production lines.
Collaborate with cross-functional teams including manufacturing engineers, quality specialists, robotics teams, and plant operations to deliver measurable improvements in production metrics.
Establish MLOps best practices including CI/CD pipelines, model versioning, A/B testing, and performance monitoring for manufacturing AI deployments.

Required Qualifications

Masters's or higher degree in Computer Science, Electrical Engineering, or equivalent major or equivalent experience.
5+ years professional software engineering or machine learning engineering experience.
3+ years specialized experience developing AI/ML solutions for manufacturing automation, including controls systems integration, robotics applications, and machine vision.
Deep expertise in LoRA fine-tuning, including parameter-efficient training, dynamic adapter loading, and domain-specific model customization.
Strong programming skills in Python with proficiency in PyTorch (preferred) or TensorFlow for model development and training and proficiency in C# or C++ for production system development.
Production experience with full-stack development: React/TypeScript with custom hooks, component composition patterns, and type-level programming.
Expertise in backend development using FastAPI with async/await patterns, custom middleware, dependency injection, and optimized request routing.
Advanced database engineering skills with PostgreSQL including custom extensions, pgvector optimization, query performance tuning, and distributed database architectures.
Hands-on experience with Kubernetes deployments, service mesh implementation, Docker multi-stage builds, and automated scaling strategies.
Knowledge of the company's controls standards (Global Common Controls Hardware Design Standards and Global Common Controls Software Design Integration Standards.
Demonstrated ability to deploy enterprise-grade ML models with high reliability, low latency, and production monitoring.
Proven experience executing end-to-end automation projects including: controls system programming (PLC, HMI), machine vision system deployment (camera calibration, illumination setup, vision inspection programming), and robotics integration (programming, calibration).

Preferred Qualifications

Experience fine-tuning and adapting foundation models for manufacturing domains using LoRA, QLoRA, and parameter-efficient techniques, with ability to train custom models when pre-trained solutions are insufficient
Deep expertise in multi-modal transformer architectures integrating vision encoders, sensor fusion layers, and control signal embeddings for end-to-end manufacturing AI systems
Experience building custom training loops with gradient accumulation, mixed-precision training, dynamic loss scaling, and advanced optimization strategies (AdamW, LAMB, Lion)
Deep knowledge of computer vision architectures beyond standard CNNs: Vision Transformers (ViT), DETR, Mask R-CNN, EfficientDet, and custom architectures for defect detection and quality inspection
Expertise in self-supervised learning, contrastive learning (SimCLR, MoCo), and few-shot learning techniques for scenarios with limited labeled manufacturing data
CUDA optimization experience for inference acceleration, including custom operator implementation, kernel fusion, and memory-efficient processing pipelines
Advanced model compression techniques including quantization-aware training, pruning, knowledge distillation, and neural architecture search for manufacturing-specific constraints
Experience with MLOps best practices including model drift detection, automated retraining pipelines, A/B testing frameworks, shadow deployments, and production monitoring at scale
Strong collaborative skills working with manufacturing engineers and plant teams to translate production challenges into ML problem statements and deliver solutions that integrate seamlessly with existing systems
Strong experience with machine vision systems, including image processing, defect detection, object recognition, and quality inspection algorithms.

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: 10382565
Position Id: bcd9c7ac7cf484e60b1e4ffbbdaefada
Posted 9 hours ago

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Job Details

Skills

Innovation
Systems Engineering
Manufacturing Operations
IT Infrastructure
Process Optimization
Real-time
Management
Storage
Assembly
Manufacturing Execution System
Collaboration
Continuous Integration
Continuous Delivery
Performance Monitoring
Computer Science
Electrical Engineering
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System Integration
Adapter
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TypeScript
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Dependency Injection
Routing
PostgreSQL
Performance Tuning
Database
Kubernetes
Docker
Hardware Development
Software Design
Programmable Logic Controller
HMI
System Deployment
Inspection
Robotics
Transformer
Sensors
Artificial Intelligence
Computer Vision
Supervised Learning
CUDA
Optimization
Fusion
Data Compression
Training
Machine Learning Operations (ML Ops)
A/B Testing
Manufacturing
Machine Learning (ML)
Machine Vision
Image Processing
Quality Inspection
Algorithms

Innovation
Systems Engineering
Manufacturing Operations
IT Infrastructure
Process Optimization
Real-time
Management
Storage
Assembly
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Continuous Integration
Continuous Delivery
Performance Monitoring
Computer Science
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PyTorch
TensorFlow
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React.js
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Routing
PostgreSQL
Performance Tuning
Database
Kubernetes
Docker
Hardware Development
Software Design
Programmable Logic Controller
HMI
System Deployment
Inspection
Robotics
Transformer
Sensors
Artificial Intelligence
Computer Vision
Supervised Learning
CUDA
Optimization
Fusion
Data Compression
Training
Machine Learning Operations (ML Ops)
A/B Testing
Manufacturing
Machine Learning (ML)
Machine Vision
Image Processing
Quality Inspection
Algorithms

Summary

Design and implement Domain-Specific LoRA fine-tuning architectures for manufacturing AI applications, including quality inspection, predictive maintenance, process optimization, and robotics control.
Develop and deploy multi-modal AI systems that integrate machine vision, controls system, robotics controls, and production telemetry for real-time manufacturing intelligence.
Build production-grade ML infrastructure supporting model training, fine-tuning, deployment, and monitoring across distributed manufacturing environments.
Architect and develop full-stack AI applications using React/TypeScript frontend with custom state management and FastAPI backend with async patterns and optimized request routing.
Implement high-performance database solutions using PostgreSQL with pgvector optimization for embedding storage, query performance tuning, and distributed architectures.
Deploy and orchestrate AI services using Kubernetes with service mesh implementation, automated scaling strategies, and comprehensive monitoring and alerting.
Develop proprietary embedding models optimized for manufacturing domain knowledge, including defect patterns, assembly sequences, and process parameters
Optimize CUDA kernels and implement parameter-efficient training techniques for large-scale model fine-tuning on manufacturing datasets
Design and build machine vision systems for automated quality inspection, defect detection, and process verification
Train and deploy supervised learning models for robotics control and manufacturing execution system integration, enabling autonomous operations across production lines.
Collaborate with cross-functional teams including manufacturing engineers, quality specialists, robotics teams, and plant operations to deliver measurable improvements in production metrics.
Establish MLOps best practices including CI/CD pipelines, model versioning, A/B testing, and performance monitoring for manufacturing AI deployments.

Required Qualifications

Masters's or higher degree in Computer Science, Electrical Engineering, or equivalent major or equivalent experience.
5+ years professional software engineering or machine learning engineering experience.
3+ years specialized experience developing AI/ML solutions for manufacturing automation, including controls systems integration, robotics applications, and machine vision.
Deep expertise in LoRA fine-tuning, including parameter-efficient training, dynamic adapter loading, and domain-specific model customization.
Strong programming skills in Python with proficiency in PyTorch (preferred) or TensorFlow for model development and training and proficiency in C# or C++ for production system development.
Production experience with full-stack development: React/TypeScript with custom hooks, component composition patterns, and type-level programming.
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Preferred Qualifications

Experience fine-tuning and adapting foundation models for manufacturing domains using LoRA, QLoRA, and parameter-efficient techniques, with ability to train custom models when pre-trained solutions are insufficient
Deep expertise in multi-modal transformer architectures integrating vision encoders, sensor fusion layers, and control signal embeddings for end-to-end manufacturing AI systems
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Strong collaborative skills working with manufacturing engineers and plant teams to translate production challenges into ML problem statements and deliver solutions that integrate seamlessly with existing systems
Strong experience with machine vision systems, including image processing, defect detection, object recognition, and quality inspection algorithms.

Dice Id: 10382565
Position Id: bcd9c7ac7cf484e60b1e4ffbbdaefada
Posted 9 hours ago

Fitment

Dice Job Match Score™

🔢 Crunching numbers...

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Similar Jobs

AI/ML Senior Researcher

Warren, Michigan

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