AIML Developer

Hybrid in Little Rock, AR, US • Posted 7 hours ago • Updated 4 hours ago
Contract W2
12 Months
No Travel Required
On-site
$60 - $65/hr
Fitment

Dice Job Match Score™

🔢 Crunching numbers...

Job Details

Skills

  • TensorFlow
  • Natural Language Processing
  • Predictive Modelling
  • Prompt Engineering
  • PyTorch
  • Machine Learning Operations (ML Ops)
  • NoSQL
  • Python
  • SQL
  • Scalability
  • Kubernetes
  • LangChain
  • Machine Learning (ML)
  • Microservices
  • Microsoft Azure
  • Docker
  • Evaluation
  • FOCUS
  • Generative Artificial Intelligence (AI)
  • Artificial Intelligence
  • Cloud Computing
  • Continuous Integration
  • Agile
  • Deep Learning
  • Scrum
  • Software Development
  • Training
  • Algorithms
  • Amazon SageMaker
  • Amazon Web Services
  • Apache Spark
  • Git
  • Vertex
  • scikit-learn

Summary

AI/ML Developer

Experience: 12+ Years
Job Type: W2 Contract Only 

Job Summary

We are seeking an experienced AI/ML Developer to design, develop, and deploy machine learning and AI solutions for enterprise applications. The ideal candidate will have strong hands-on experience with Python, Machine Learning, Deep Learning, Generative AI, LLMs, and cloud-based AI platforms.

Required Skills

  • 8+ years of software development experience with strong focus on AI/ML

  • Strong proficiency in Python

  • Experience with Machine Learning algorithms, predictive modeling, and statistical analysis

  • Hands-on experience with Scikit-learn, TensorFlow, PyTorch, or Keras

  • Strong knowledge of Deep Learning, NLP, and Generative AI

  • Experience with LLMs, RAG, embeddings, prompt engineering, and vector databases

  • Experience building and deploying ML/AI models into production

  • Strong understanding of REST APIs, Microservices, and data pipelines

  • Experience with SQL and NoSQL databases

  • Hands-on experience with AWS, Azure, or Google Cloud Platform

  • Experience with Docker, Kubernetes, Git, and CI/CD

  • Strong understanding of MLOps, model monitoring, model evaluation, and versioning

Responsibilities

  • Design and develop scalable AI/ML models and applications

  • Build Generative AI and LLM-powered solutions

  • Develop RAG pipelines using embeddings and vector search

  • Perform data preprocessing, feature engineering, model training, and evaluation

  • Integrate AI/ML models with enterprise applications through APIs

  • Optimize models for performance, scalability, and accuracy

  • Deploy and monitor models in cloud environments

  • Implement ML pipelines and automation using MLOps practices

  • Collaborate with Data Engineers, Software Developers, and business stakeholders

  • Research emerging AI/ML technologies and identify opportunities for enterprise adoption

Preferred Skills

  • Experience with OpenAI APIs, Hugging Face, LangChain, or LlamaIndex

  • Knowledge of FAISS, Pinecone, Weaviate, or Azure AI Search

  • Experience with Spark / PySpark

  • Knowledge of Azure ML, AWS SageMaker, or Google Vertex AI

  • Experience with LLM fine-tuning and evaluation

  • Strong understanding of Agile/Scrum methodologies.

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: 9074098
  • Posted 7 hours ago
Create job alert
Set job alertNever miss an opportunity! Create an alert based on the job you applied for.

Similar Jobs

Remote

6d ago

Easy Apply

Contract

Depends on Experience

Remote

Yesterday

Easy Apply

Contract

Depends on Experience

Remote

Today

Easy Apply

Full-time, Third Party

Depends on Experience

California

Today

Easy Apply

Contract

Search all similar jobs