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AI/ML Engineer

Dallas, TX, US • Posted 6 hours ago • Updated 6 hours ago

Contract W2

12 Months

No Travel Required

On-site

Depends on Experience

Fitment

Dice Job Match Score™

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Job Details

Skills

Machine Learning (ML)
Generative Artificial Intelligence (AI)
Good Clinical Practice
Continuous Integration
Deep Learning
Docker
Communication
Conflict Resolution
Continuous Delivery
Git
Artificial Intelligence
Cloud Computing
Collaboration
Google Cloud Platform
Natural Language Processing
Machine Learning Operations (ML Ops)
Kubernetes
LangChain
Prompt Engineering
Vector Databases
Problem Solving
Amazon Web Services
Scalability
TensorFlow
Microservices
Microsoft Azure
PyTorch
Python
Vertex

Machine Learning (ML)
Generative Artificial Intelligence (AI)
Good Clinical Practice
Continuous Integration
Deep Learning
Docker
Communication
Conflict Resolution
Continuous Delivery
Git
Artificial Intelligence
Cloud Computing
Collaboration
Google Cloud Platform
Natural Language Processing
Machine Learning Operations (ML Ops)
Kubernetes
LangChain
Prompt Engineering
Vector Databases
Problem Solving
Amazon Web Services
Scalability
TensorFlow
Microservices
Microsoft Azure
PyTorch
Python
Vertex

Summary

AI/ML Engineer (10+ Years Experience Required)

🚨 W2 ONLY | No C2C | No 1099 | No Third-Party Vendors | Direct W2 Candidates Only

🏢 Work Model: Onsite
💼 Employment Type: W2 Only

Job Summary

We are seeking an experienced AI/ML Engineer with 15+ years of IT experience to design, develop, and deploy enterprise AI and Machine Learning solutions. The ideal candidate will have expertise in Generative AI, LLMs, RAG, Python, MLOps, and cloud platforms.

Required Skills

10+ years of IT experience.
Strong Python programming experience.
Machine Learning, Deep Learning (TensorFlow/PyTorch).
Generative AI, LLMs, Prompt Engineering.
LangChain, LangGraph, RAG.
OpenAI, Azure OpenAI, AWS Bedrock, Vertex AI.
Vector Databases (Pinecone, FAISS, ChromaDB, Weaviate).
NLP and AI model deployment.
Docker, Kubernetes.
AWS, Azure, or Google Cloud Platform.
REST APIs and Microservices.
CI/CD, Git, and MLOps.
Strong communication and problem-solving skills.

Responsibilities

Design and develop enterprise AI solutions.
Build LLM and RAG-based applications.
Deploy AI models into production.
Optimize model performance and scalability.
Collaborate with cross-functional teams.
Follow MLOps and AI governance best practices.

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: 9045109
Posted 6 hours ago

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