367 results (18 new)

Group by company

Raas Infotek LLC

Dallas, Texas • Today

Easy Apply

Contract

Depends on Experience

Ex-JPMC AI/ML Engineer

Synapse Tech Services Inc

Plano, Texas • 20d ago

Easy Apply

Full-time

Depends on Experience

AI/ML Engineer

Nexorant LLC

Remote • Yesterday

Easy Apply

Full-time

85000 - 110000

AI/ML Engineer - Boston, MA, Hartford, CT, Princeton, NJ, Newark, NJ, New York City, NY.

TechniPros, LLC

Remote or Boston, Massachusetts • Today

Easy Apply

Contract

Depends on Experience

AI/Ml Engineer(W2 Contract)

Virtuous Tech Inc

Dallas, Texas • 14d ago

Easy Apply

Contract

55 - 60

sr. Ai/ml engineer

Valueprosite

Irving, Texas • 6d ago

Easy Apply

Contract

50 - 60

AI/ML Engineer

Medinext Global LLC

Remote • 4d ago

Easy Apply

Full-time

70,000 - 120,000

Project Manager AI/ML

Mars Technominds Inc

Dallas, Texas • 7d ago

Easy Apply

Contract

Depends on Experience

Senior AI/ML Engineer with PyTorch, ?++

EPAM Systems

Remote • Today

Full-time

AI/ML Engineer

Tharu Technologies

Remote • Today

Easy Apply

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

USD 45-45

Lead AI/ML Engineer

INTUITIVE TECHNOLOGY PARTNERS, INC.

Remote • 6d ago

Easy Apply

Contract

70 - 90

AI/ML Developer (Phoenix,AZ, Richardson, TX & Hartford CT)

Encore Consulting Services

Hybrid in Richardson, Texas • 6d ago

Easy Apply

Contract

50 - 55

Sr AI/ML Engineer with Medical Imaging

People Force Consulting Inc

Remote • Today

Easy Apply

Third Party, Contract

AI/ML Engineer - Remote

Acnovate Corporation

Remote • 14d ago

Easy Apply

Contract

Depends on Experience

AI/ML Engineer

Shimento, Inc.

Remote • Today

Easy Apply

Contract

Depends on Experience

Lead AI/ML Engineer

Gamestop, Inc.

Grapevine, Texas • Today

Full-time

AI/ML Engineer - Engineering Excellence (Full Stack Developer)

Citi

Irving, Texas • Today

Full-time

USD 107.00 per hour

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 (LLMs)

EvolutionIQ

Remote or New York, New York • Today

Full-time

USD 200,000.00 - 235,000.00 per year

AI/ML Engineer

Fieldwire

Remote or San Francisco, California • Today

Full-time

USD 152,000.00 - 220,000.00 per year

Senior Consultant II - AI/ML Engineer

Allstate Insurance Company

Remote • Today

Full-time

USD 140,000.00 - 150,000.00 per year

Lead Applied AI & Machine Learning Engineer

JPMorgan Chase & Co.

Plano, Texas • Today

Full-time

Lead AI/ML Engineer (Data Science) - Remote

UnitedHealth Group

Remote or Eden Prairie, Minnesota • Today

Full-time

USD 145,500.00 - 249,500.00 per year

Artificial Intelligence/Machine Learning (AI/ML) Engineer

ANALYTICA

Remote or Bethesda, Maryland • Today

Full-time

Sr. AI/ML Engineer - Java Background - Remote

UnitedHealth Group

Remote or Eden Prairie, Minnesota • Today

Full-time

USD 120,100.00 - 214,500.00 per year

Sr AI/ML Engineer Remote Nationwide or Hybrid in MN or DC or CT

UnitedHealth Group

Remote or Hartford, Connecticut • Today

Full-time

USD 120,100.00 - 214,500.00 per year

Lead AI/ML Engineer - Remote

UnitedHealth Group

Remote or Eden Prairie, Minnesota • 4d ago

Full-time

USD 145,500.00 - 249,500.00 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/ML Engineer Remote Nationwide or Hybrid in MN/DC

UnitedHealth Group

Remote or Minnetonka, Minnesota • Today

Full-time

USD 98,500.00 - 176,000.00 per year

Senior AI/ML Engineer Remote Nationwide or Office-Based in MN/DC/NJ

UnitedHealth Group

Remote or Bernards, New Jersey • Today

Full-time

USD 120,100.00 - 214,500.00 per year

Job Details

Skills

Deep Learning
Communication
Conflict Resolution
Continuous Delivery
Artificial Intelligence
Cloud Computing
Continuous Integration
Generative Artificial Intelligence (AI)
Large Language Models (LLMs)
Google Cloud Platform
Kubernetes
LangChain
Data Science
Docker
Evaluation
Git
Good Clinical Practice
Amazon Web Services
Apache Spark
Collaboration
Natural Language Processing
Problem Solving
Prompt Engineering
Machine Learning Operations (ML Ops)
Microsoft Azure
Statistics
TensorFlow
Terraform
Training
Privacy
Vector Databases
Optimization
Python
PyTorch
Data Processing
Machine Learning (ML)
LlamaIndex
Algorithms
Scalability
SQL
scikit-learn
Vertex

Deep Learning
Communication
Conflict Resolution
Continuous Delivery
Artificial Intelligence
Cloud Computing
Continuous Integration
Generative Artificial Intelligence (AI)
Large Language Models (LLMs)
Google Cloud Platform
Kubernetes
LangChain
Data Science
Docker
Evaluation
Git
Good Clinical Practice
Amazon Web Services
Apache Spark
Collaboration
Natural Language Processing
Problem Solving
Prompt Engineering
Machine Learning Operations (ML Ops)
Microsoft Azure
Statistics
TensorFlow
Terraform
Training
Privacy
Vector Databases
Optimization
Python
PyTorch
Data Processing
Machine Learning (ML)
LlamaIndex
Algorithms
Scalability
SQL
scikit-learn
Vertex

Summary

AI/ML Engineer

Job Type: Contract / W2
Experience: 12+ Years

Job Description

We are looking for an experienced AI/ML Engineer with 12+ years of experience in designing, developing, and deploying machine learning and AI solutions. The ideal candidate should have strong hands-on experience with Python, machine learning, deep learning, generative AI, cloud platforms, and MLOps.

Responsibilities

Design, develop, and deploy scalable AI/ML models and solutions for enterprise applications.
Develop machine learning models using Python, PyTorch, TensorFlow, and Scikit-learn.
Work with Generative AI, Large Language Models (LLMs), NLP, and Retrieval-Augmented Generation (RAG) solutions.
Build and optimize AI/ML pipelines for training, validation, deployment, and monitoring.
Develop solutions using LLM APIs, embeddings, vector databases, prompt engineering, and AI agents.
Implement MLOps practices for model versioning, CI/CD, deployment, monitoring, and governance.
Work with cloud AI/ML services across AWS, Azure, or Google Cloud Platform.
Process and analyze large datasets using SQL, Spark, and Python-based data processing frameworks.
Collaborate with data engineers, software engineers, architects, and business stakeholders.
Optimize models for performance, scalability, accuracy, and production readiness.
Ensure AI solutions follow enterprise security, privacy, and responsible AI standards.

Required Skills

12+ years of experience in AI/ML Engineering, Machine Learning, Data Science, or related fields.
Strong programming experience with Python.
Hands-on experience with Machine Learning and Deep Learning.
Strong experience with PyTorch, TensorFlow, Scikit-learn, or equivalent frameworks.
Experience with Generative AI, LLMs, NLP, RAG, embeddings, and vector databases.
Experience with OpenAI, Azure OpenAI, AWS Bedrock, Google Vertex AI, or similar AI platforms.
Strong understanding of MLOps, ML pipelines, model deployment, and monitoring.
Experience with Docker, Kubernetes, Git, CI/CD, and cloud environments.
Strong experience with AWS, Azure, or Google Cloud Platform.
Experience with SQL, Spark, and large-scale data processing.
Strong understanding of AI/ML algorithms, statistics, model evaluation, and optimization.
Excellent communication and problem-solving skills.

Preferred Skills

Experience with LangChain, LlamaIndex, Hugging Face, MLflow, Kubeflow, or similar frameworks.
Experience building AI agents and enterprise GenAI applications.
Knowledge of vector databases such as Pinecone, Weaviate, Milvus, or pgvector.
Experience with Terraform/IaC and cloud-native architecture.
Experience with AI governance, security, and responsible AI practices.

Submission Requirements

W2 Only
12+ Years of Experience Required
Strong hands-on AI/ML and Generative AI experience preferred.
Candidates must have strong communication skills and be able to work in a US client environment.

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: 9084358
Posted 9 hours ago

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Job Details

Skills

Deep Learning
Communication
Conflict Resolution
Continuous Delivery
Artificial Intelligence
Cloud Computing
Continuous Integration
Generative Artificial Intelligence (AI)
Large Language Models (LLMs)
Google Cloud Platform
Kubernetes
LangChain
Data Science
Docker
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Git
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Amazon Web Services
Apache Spark
Collaboration
Natural Language Processing
Problem Solving
Prompt Engineering
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TensorFlow
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Training
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Optimization
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PyTorch
Data Processing
Machine Learning (ML)
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Deep Learning
Communication
Conflict Resolution
Continuous Delivery
Artificial Intelligence
Cloud Computing
Continuous Integration
Generative Artificial Intelligence (AI)
Large Language Models (LLMs)
Google Cloud Platform
Kubernetes
LangChain
Data Science
Docker
Evaluation
Git
Good Clinical Practice
Amazon Web Services
Apache Spark
Collaboration
Natural Language Processing
Problem Solving
Prompt Engineering
Machine Learning Operations (ML Ops)
Microsoft Azure
Statistics
TensorFlow
Terraform
Training
Privacy
Vector Databases
Optimization
Python
PyTorch
Data Processing
Machine Learning (ML)
LlamaIndex
Algorithms
Scalability
SQL
scikit-learn
Vertex

Summary

AI/ML Engineer

Job Type: Contract / W2
Experience: 12+ Years

Job Description

Responsibilities

Design, develop, and deploy scalable AI/ML models and solutions for enterprise applications.
Develop machine learning models using Python, PyTorch, TensorFlow, and Scikit-learn.
Work with Generative AI, Large Language Models (LLMs), NLP, and Retrieval-Augmented Generation (RAG) solutions.
Build and optimize AI/ML pipelines for training, validation, deployment, and monitoring.
Develop solutions using LLM APIs, embeddings, vector databases, prompt engineering, and AI agents.
Implement MLOps practices for model versioning, CI/CD, deployment, monitoring, and governance.
Work with cloud AI/ML services across AWS, Azure, or Google Cloud Platform.
Process and analyze large datasets using SQL, Spark, and Python-based data processing frameworks.
Collaborate with data engineers, software engineers, architects, and business stakeholders.
Optimize models for performance, scalability, accuracy, and production readiness.
Ensure AI solutions follow enterprise security, privacy, and responsible AI standards.

Required Skills

12+ years of experience in AI/ML Engineering, Machine Learning, Data Science, or related fields.
Strong programming experience with Python.
Hands-on experience with Machine Learning and Deep Learning.
Strong experience with PyTorch, TensorFlow, Scikit-learn, or equivalent frameworks.
Experience with Generative AI, LLMs, NLP, RAG, embeddings, and vector databases.
Experience with OpenAI, Azure OpenAI, AWS Bedrock, Google Vertex AI, or similar AI platforms.
Strong understanding of MLOps, ML pipelines, model deployment, and monitoring.
Experience with Docker, Kubernetes, Git, CI/CD, and cloud environments.
Strong experience with AWS, Azure, or Google Cloud Platform.
Experience with SQL, Spark, and large-scale data processing.
Strong understanding of AI/ML algorithms, statistics, model evaluation, and optimization.
Excellent communication and problem-solving skills.

Preferred Skills

Experience with LangChain, LlamaIndex, Hugging Face, MLflow, Kubeflow, or similar frameworks.
Experience building AI agents and enterprise GenAI applications.
Knowledge of vector databases such as Pinecone, Weaviate, Milvus, or pgvector.
Experience with Terraform/IaC and cloud-native architecture.
Experience with AI governance, security, and responsible AI practices.

Submission Requirements

W2 Only
12+ Years of Experience Required
Strong hands-on AI/ML and Generative AI experience preferred.
Candidates must have strong communication skills and be able to work in a US client environment.

Dice Id: 10477291
Position Id: 9084358
Posted 9 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

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