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345 results (16 new)

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AI/ML Developer

Raas Infotek LLC

Seattle, Washington • Today

Easy Apply

Full-time

Depends on Experience

Principal AI/ML Engineer

lululemon athletica

Seattle, Washington • Yesterday

Full-time

USD 266,720.00 - 350,070.00 per year

Staff AI/ML Engineer

lululemon athletica

Seattle, Washington • Today

Full-time

USD 211,880.00 - 278,090.00 per year

Python AI Developer

Spar Information Systems

Bellevue, Washington • Today

Easy Apply

Full-time, Part-time, Contract, Third Party

AI/ML Engineer - Automation/Robotics

Blueprint Consulting Services

Redmond, Washington • Yesterday

Full-time

Compensation information provided in the description

Applied AI ML Director

JPMorgan Chase & Co.

Seattle, Washington • Today

Full-time

USD 223,000.00 - 325,000.00 per year

Senior Machine Learning Engineer Video AI (Vision & Creative Systems)

Warner Bros. Discovery

Bellevue, Washington • Today

Full-time

USD 150,640.00 - 279,760.00 per year

Sr. Machine Learning Engineer - AI

Zoom Video Communications

Seattle, Washington • Today

Full-time

USD 157,440.00 - 236,200.00 per year

Staff Machine Learning Engineer, AI R&D

Robinhood

Bellevue, Washington • Today

Full-time

USD 255,000.00 - 300,000.00 per year

Applied AI ML - Senior Associate - Healthcare

JPMorgan Chase & Co.

Seattle, Washington • Today

Full-time

USD 137,750.00 - 195,000.00 per year

Scientist I - ML/AI algorithms for Multimodal Foundational Models for Gene Regulation

The Allen Institute for Brain Science

Seattle, Washington • Today

Full-time

USD 86,500.00 - 106,500.00 per year

Senior Software Engineer - AI / ML Platforms and Infrastructure

The Allen Institute for Brain Science

Seattle, Washington • Today

Full-time

USD 167,850.00 - 209,750.00 per year

Applied AI/ML Lead - Payments

JPMorgan Chase & Co.

Seattle, Washington • Today

Full-time

USD 171,000.00 - 260,000.00 per year

Applied AI ML Lead

JPMorgan Chase & Co.

Seattle, Washington • Today

Full-time

USD 171,000.00 - 260,000.00 per year

Senior AI Developer (Palantir AI Platform)

Vaco by Highspring

Remote • 15d ago

Easy Apply

Full-time

Depends on Experience

Member of Technical Staff, Machine Learning, Artificial Intelligence (AI) Required, Work From Home - G

Next Step Systems

Remote • Today

Easy Apply

Full-time

$160,000 - $190,000

AI/ML Engineer

CIS Technologies Inc.

Remote • Today

Easy Apply

Contract

$50+

AI/ML Engineer

Fieldwire

Remote or San Francisco, California • Yesterday

Full-time

USD 152,000.00 - 220,000.00 per year

AI/ML Engineer

Medinext Global LLC

Remote • 4d ago

Easy Apply

Full-time

70,000 - 120,000

Artificial Intelligence/Machine Learning (AI/ML) Engineer

ANALYTICA

Remote or Bethesda, Maryland • Today

Full-time

AI/ML Engineer

Tharu Technologies

Remote • Today

Easy Apply

Full-time, Part-time, Contract, Third Party

USD 45-45

AI/ML Engineer

Shimento, Inc.

Remote • Yesterday

Easy Apply

Contract

Depends on Experience

Senior AI/ML Engineer with PyTorch, ?++

EPAM Systems

Remote • Today

Full-time

AI/ML Full Stack Engineer (W2 Only)

PeopleNTech

Remote • Today

Easy Apply

Contract

Depends on Experience

AI/ML Engineer

Nexorant LLC

Remote • 2d ago

Easy Apply

Full-time

85000 - 110000

Lead AI/ML Engineer - Remote

UnitedHealth Group

Remote or Eden Prairie, Minnesota • Yesterday

Full-time

USD 145,500.00 - 249,500.00 per year

Lead AI/ML Engineer - Remote

UnitedHealth Group

Remote or Eden Prairie, Minnesota • 5d ago

Full-time

USD 145,500.00 - 249,500.00 per year

AI/ML Engineer

Tenex.AI Inc

Remote • Today

Full-time

AI/ML Engineer - Remote

Acnovate Corporation

Remote • 15d ago

Easy Apply

Contract

Depends on Experience

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

UnitedHealth Group

Remote or Plymouth, Minnesota • Today

Full-time

USD 164,600.00 - 282,200.00 per year

Job Details

Skills

Performance Appraisal
Machine Learning Operations (ML Ops)
Microservices
Large Language Models (LLMs)
Mentorship
Microsoft Azure
Google Cloud Platform
IT Management
Machine Learning (ML)
Generative Artificial Intelligence (AI)
Good Clinical Practice
Document Processing
Evaluation
Forecasting
Cloud Computing
Clustering
Collaboration
Deep Learning
Amazon Web Services
Artificial Intelligence
Natural Language Processing
Amazon EC2
Amazon S3
Amazon SageMaker
Training
Use Cases
Vector Databases
Workflow
Software Engineering
Technical Drafting
TensorFlow
Regression Analysis
Scalability
Semantic Search
Production Support
Prompt Engineering
Python
Big Data
ELT
Optimization
PostgreSQL
PyTorch
Vertex
scikit-learn

Performance Appraisal
Machine Learning Operations (ML Ops)
Microservices
Large Language Models (LLMs)
Mentorship
Microsoft Azure
Google Cloud Platform
IT Management
Machine Learning (ML)
Generative Artificial Intelligence (AI)
Good Clinical Practice
Document Processing
Evaluation
Forecasting
Cloud Computing
Clustering
Collaboration
Deep Learning
Amazon Web Services
Artificial Intelligence
Natural Language Processing
Amazon EC2
Amazon S3
Amazon SageMaker
Training
Use Cases
Vector Databases
Workflow
Software Engineering
Technical Drafting
TensorFlow
Regression Analysis
Scalability
Semantic Search
Production Support
Prompt Engineering
Python
Big Data
ELT
Optimization
PostgreSQL
PyTorch
Vertex
scikit-learn

Summary

Position Summary

We are seeking an experienced AI/ML Developer with 11+ years of software engineering and machine learning experience to design, develop, deploy, and optimize enterprise-grade AI and machine learning solutions. The ideal candidate should have strong hands-on experience in Python, Machine Learning, Deep Learning, Generative AI, LLMs, NLP, MLOps, and cloud platforms.

The candidate will work closely with data scientists, software engineers, product managers, and business stakeholders to develop scalable AI solutions and integrate ML models into production applications.

Key Responsibilities

Design and develop scalable AI/ML models and intelligent applications for enterprise use cases.
Develop machine learning solutions using Python, Scikit-learn, TensorFlow, PyTorch, and related frameworks.
Build and deploy Generative AI and LLM-based applications, including RAG and AI-powered assistants.
Develop NLP, classification, regression, clustering, recommendation, forecasting, and anomaly detection solutions.
Work with Large Language Models (LLMs) such as OpenAI, Azure OpenAI, Llama, Claude, and other foundation models.
Implement RAG pipelines using vector databases, embeddings, semantic search, and document-processing frameworks.
Develop prompt engineering strategies, evaluation frameworks, and model optimization techniques.
Build and maintain ML pipelines and MLOps workflows for model training, validation, deployment, monitoring, and retraining.
Deploy AI/ML solutions using AWS, Azure, or Google Cloud Platform cloud services.
Develop REST APIs and microservices to integrate AI/ML models with enterprise applications.
Optimize model performance, scalability, latency, and infrastructure cost.
Implement model monitoring, logging, versioning, governance, and responsible AI practices.
Collaborate with data engineers to develop data pipelines and prepare high-quality datasets for ML models.
Conduct model experimentation, feature engineering, hyperparameter tuning, and performance evaluation.
Mentor junior and mid-level engineers and provide technical leadership on AI/ML initiatives.
Participate in architecture discussions, technical design, code reviews, and production support.

Required Technical Skills

Programming & Development

Python
SQL
REST APIs
FastAPI / Flask
Microservices
Git
Object-Oriented Programming
Data Structures & Algorithms

Machine Learning

Supervised and Unsupervised Learning
Regression & Classification
Clustering
Recommendation Systems
Time-Series Forecasting
Feature Engineering
Model Selection & Evaluation
Hyperparameter Optimization
Scikit-learn

Deep Learning

TensorFlow
PyTorch
Keras
Neural Networks
CNN
RNN/LSTM
Transformers
Transfer Learning

Generative AI / LLM

Generative AI
Large Language Models
OpenAI / Azure OpenAI
Llama / Claude
Prompt Engineering
RAG
Embeddings
Vector Search
Semantic Search
Fine-tuning
LangChain / LlamaIndex
AI Agents / Agentic AI
Function Calling / Tool Use
LLM Evaluation

Vector Databases

Azure AI Search
Pinecone
FAISS
Weaviate
ChromaDB
Milvus

MLOps

MLflow
Kubeflow
Docker
Kubernetes
CI/CD
Model Deployment
Model Monitoring
Feature Stores
Model Versioning

Cloud

AWS: SageMaker, Bedrock, S3, Lambda, EC2
Azure: Azure Machine Learning, Azure OpenAI, Azure AI Search, Cognitive Services
Google Cloud Platform: Vertex AI, BigQuery, Cloud Storage

Data & Big Data Technologies

Pandas
NumPy
PySpark
Apache Spark
Databricks
Kafka
ETL/ELT pipelines
Data Lakes / Data Warehouses
Snowflake
SQL Server / PostgreSQL / Oracle

AI Architecture

Enterprise AI architecture
AI/ML solution design
Cloud-native AI applications
Distributed ML systems
Real-time inference
Batch inference
Model serving
API-based AI integration
Scalable data and ML pipelines

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: 10477291
Position Id: 9086175
Posted 5 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.

Contact the job poster

Jayesh Tanwar

Recruiter @ Raas Infotek LLC

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Similar Jobs

Senior Machine Learning Engineer

Seattle, Washington

•

Yesterday

Join Axon and be a Force for Good. At Axon, we're on a mission to Protect Life. We're explorers, pursuing society's most critical safety and justice issues with our ecosystem of devices and cloud software. Like our products, we work better together. We connect with candor and care, seeking out diverse perspectives from our customers, communities and each other. Life at Axon is fast-paced, challenging and meaningful. Here, you'll take ownership and drive real change. Constantly grow as you work

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AI/ML Engineer

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2d ago

Job SummaryWe are seeking an AI/ML Engineer with 13 years of experience to design, develop, train, and deploy machine learning and artificial intelligence solutions. The ideal candidate will have strong programming skills in Python, a solid understanding of machine learning and deep learning concepts, and hands-on experience building and deploying ML models. The candidate will collaborate with data scientists, software engineers, and product teams to develop scalable AI/ML solutions that solve r

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Senior AI/ML Engineer (Generative AI & MLOps)

New Jersey

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Today

job summary: We are seeking an experienced AI/ML Engineer to design, develop, deploy, and support scalable AI and Machine Learning solutions that drive business value. The ideal candidate will have strong experience in Machine Learning, Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), MLOps, and software engineering, with the ability to deliver production-ready AI applications. location: Pennington, New Jersey job type: Solutions salary: $58 - 68 per hour w

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USD58 - USD68

Applied AI Engineer

Remote

•

14d ago

Dear Candidate, Greetings of the day!Applied AI EngineerPosition: Applied AI Engineer Experience Required:7+ Years Employment Type:Full Time Location:Remote USA About the Role We are looking for an experiencedApplied AI Engineerto design, develop, and deploy AI-powered solutions that solve complex business problems. The ideal candidate will have strong hands-on experience building production-grade AI applications, working with Large Language Models (LLMs), machine learning frameworks, data pipe

Easy Apply

Full-time

120,000 - 150,000

Job Details

Skills

Performance Appraisal
Machine Learning Operations (ML Ops)
Microservices
Large Language Models (LLMs)
Mentorship
Microsoft Azure
Google Cloud Platform
IT Management
Machine Learning (ML)
Generative Artificial Intelligence (AI)
Good Clinical Practice
Document Processing
Evaluation
Forecasting
Cloud Computing
Clustering
Collaboration
Deep Learning
Amazon Web Services
Artificial Intelligence
Natural Language Processing
Amazon EC2
Amazon S3
Amazon SageMaker
Training
Use Cases
Vector Databases
Workflow
Software Engineering
Technical Drafting
TensorFlow
Regression Analysis
Scalability
Semantic Search
Production Support
Prompt Engineering
Python
Big Data
ELT
Optimization
PostgreSQL
PyTorch
Vertex
scikit-learn

Performance Appraisal
Machine Learning Operations (ML Ops)
Microservices
Large Language Models (LLMs)
Mentorship
Microsoft Azure
Google Cloud Platform
IT Management
Machine Learning (ML)
Generative Artificial Intelligence (AI)
Good Clinical Practice
Document Processing
Evaluation
Forecasting
Cloud Computing
Clustering
Collaboration
Deep Learning
Amazon Web Services
Artificial Intelligence
Natural Language Processing
Amazon EC2
Amazon S3
Amazon SageMaker
Training
Use Cases
Vector Databases
Workflow
Software Engineering
Technical Drafting
TensorFlow
Regression Analysis
Scalability
Semantic Search
Production Support
Prompt Engineering
Python
Big Data
ELT
Optimization
PostgreSQL
PyTorch
Vertex
scikit-learn

Summary

Position Summary

Key Responsibilities

Design and develop scalable AI/ML models and intelligent applications for enterprise use cases.
Develop machine learning solutions using Python, Scikit-learn, TensorFlow, PyTorch, and related frameworks.
Build and deploy Generative AI and LLM-based applications, including RAG and AI-powered assistants.
Develop NLP, classification, regression, clustering, recommendation, forecasting, and anomaly detection solutions.
Work with Large Language Models (LLMs) such as OpenAI, Azure OpenAI, Llama, Claude, and other foundation models.
Implement RAG pipelines using vector databases, embeddings, semantic search, and document-processing frameworks.
Develop prompt engineering strategies, evaluation frameworks, and model optimization techniques.
Build and maintain ML pipelines and MLOps workflows for model training, validation, deployment, monitoring, and retraining.
Deploy AI/ML solutions using AWS, Azure, or Google Cloud Platform cloud services.
Develop REST APIs and microservices to integrate AI/ML models with enterprise applications.
Optimize model performance, scalability, latency, and infrastructure cost.
Implement model monitoring, logging, versioning, governance, and responsible AI practices.
Collaborate with data engineers to develop data pipelines and prepare high-quality datasets for ML models.
Conduct model experimentation, feature engineering, hyperparameter tuning, and performance evaluation.
Mentor junior and mid-level engineers and provide technical leadership on AI/ML initiatives.
Participate in architecture discussions, technical design, code reviews, and production support.

Required Technical Skills

Programming & Development

Python
SQL
REST APIs
FastAPI / Flask
Microservices
Git
Object-Oriented Programming
Data Structures & Algorithms

Machine Learning

Supervised and Unsupervised Learning
Regression & Classification
Clustering
Recommendation Systems
Time-Series Forecasting
Feature Engineering
Model Selection & Evaluation
Hyperparameter Optimization
Scikit-learn

Deep Learning

TensorFlow
PyTorch
Keras
Neural Networks
CNN
RNN/LSTM
Transformers
Transfer Learning

Generative AI / LLM

Generative AI
Large Language Models
OpenAI / Azure OpenAI
Llama / Claude
Prompt Engineering
RAG
Embeddings
Vector Search
Semantic Search
Fine-tuning
LangChain / LlamaIndex
AI Agents / Agentic AI
Function Calling / Tool Use
LLM Evaluation

Vector Databases

Azure AI Search
Pinecone
FAISS
Weaviate
ChromaDB
Milvus

MLOps

MLflow
Kubeflow
Docker
Kubernetes
CI/CD
Model Deployment
Model Monitoring
Feature Stores
Model Versioning

Cloud

AWS: SageMaker, Bedrock, S3, Lambda, EC2
Azure: Azure Machine Learning, Azure OpenAI, Azure AI Search, Cognitive Services
Google Cloud Platform: Vertex AI, BigQuery, Cloud Storage

Data & Big Data Technologies

Pandas
NumPy
PySpark
Apache Spark
Databricks
Kafka
ETL/ELT pipelines
Data Lakes / Data Warehouses
Snowflake
SQL Server / PostgreSQL / Oracle

AI Architecture

Enterprise AI architecture
AI/ML solution design
Cloud-native AI applications
Distributed ML systems
Real-time inference
Batch inference
Model serving
API-based AI integration
Scalable data and ML pipelines

Dice Id: 10477291
Position Id: 9086175
Posted 5 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.

Contact the job poster

Jayesh Tanwar

Recruiter @ Raas Infotek LLC

View Profile

Create job alert

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

Similar Jobs

Senior Machine Learning Engineer

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