Top 8 Ai engineer Jobs in Malvern, Ar

AI Engineer
Intellibee —Malvern, AR
- Azure
- Computer Science
- 3 years
AI Engineer/Automation Analyst
Connect Service Solutions LLC —Sheridan, AR
- Computer Science
- Mid-level
- Office
Quick Apply
Computational Engineering Expert - AI trainer
micro1 —United States
- $20 - $60 an hour
- Contract
- Remote
- No experience needed
- Master's degree
- Analysis skills
- Flexible schedule
CUDA Engineering Expert - AI Trainer
micro1 —United States
- $60 - $100 an hour
- Contract
- Remote
- No experience needed
- Mid-level
- Analysis skills
- Flexible schedule
3d

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AI Engineer/Automation Analyst
Connect Service Solutions LLC —Sheridan, AR
Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field. DESIGN, develop, and deploy AI and machine learning models for…
Quick Apply
BI Engineer
INTRALOT INC —North Little Rock, AR
B.S. in Computer Science, Data Engineering, Information Systems, Data Science, or a related field; or equivalent combination of training and experience.
Quick Apply
8d

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Senior Software Engineer, Agentic Coding RL Environments - AI Trainer
Surge AI —Columbus, OH
Build coding RL environments and benchmarks that test how agents perform on realistic software engineering tasks. Design tasks based on real engineering work.
$100 - $150 an hour
Quick Apply
10d
AI Engineer
SiriiKon Inc. —Columbus, OH
Demonstrated history of mentoring junior engineers or steering technical design for cross-functional delivery teams.
Up to $90 an hour
Quick Apply
3d

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AI Engineer

Intellibee
Malvern, AR

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Job Details

Qualifications

AI models
Stakeholder engagement
Software engineering
Application Architecture Design (Architecture design skill)
Software implementation
Generative models
AI platforms (beyond public GPTs)
Scalable systems
Databases
Technical solutions implementation
Data Architecture Design (Architecture design skills)
Production systems
Machine learning cloud services
Machine intelligence
Model deployment
Developing large-scale AI models
Cloud Native Design
Scalability
Developing and maintaining backend systems
Cloud solution engineering
Distributed computing
DevOps automation
Python
Stakeholder relationship building
Generative AI
Stakeholder management

Full Job Description

Job Description

Technical Stack & Requirements: AI/ML Stack: Amazon SageMaker, AWS Bedrock. Design Focus: Vector databases, knowledge graphs, and semantic layers. Databricks: Experience with Databricks and Databricks Genie is highly desirable. Core Mandate: Define the standards for "AI-ready" data curation and direct the integration of AI methodologies into existing Service Experience and Financials business logic. Qualifications: 6-8+ years of experience. Strong background in AI/ML design and implementation. Ability to architect semantic layers and knowledge graphs. Experience with GitHub Actions for managing codebases. Required Qualifications Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or a related field. 8+ years of software engineering experience. 3+ years of hands-on AI/ML engineering experience. Advanced Python programming skills. Strong experience building production-grade AI applications. Experience with Generative AI and Large Language Models. Experience designing Retrieval-Augmented Generation (RAG) architectures. Knowledge of vector databases and embedding models. Experience deploying AI solutions on AWS cloud platforms. Experience with CI/CD pipelines and DevOps practices. Strong understanding of distributed systems and scalable backend architectures. Excellent communication and stakeholder management skills. Preferred Qualifications Experience with Agentic AI frameworks (LangGraph, AutoGen, CrewAI, Semantic Kernel). Experience with AWS Bedrock, Amazon SageMaker, Azure OpenAI, or Vertex AI. Experience implementing Responsible AI frameworks. Financial services, fintech, or investment management domain experience. Experience building recommendation engines, intelligent assistants, or AI copilots. Knowledge of Kubernetes, Docker, and cloud-native microservices. AWS AI/ML certifications or equivalent.

Job Responsibilities

We are looking for a visionary AI Engineer to lead the integration of advanced artificial intelligence into our flagship products. You will be at the forefront of innovation, designing proprietary AI tools, executing high-impact Proof of Concepts (POCs), and architecting the data structures necessary for robust AI/ML scaling.

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ai engineer jobs in malvern, ar

AI Engineer

AI Engineer/Automation Analyst

Computational Engineering Expert - AI trainer

CUDA Engineering Expert - AI Trainer

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