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AIML Developer

Raas Infotek LLCLittle Rock, AR🇺🇸United StatesPosted 2 Sept 2026

Quick Overview

Seniority
Mid Senior
Work mode
Hybrid
Location
Little Rock, AR, United States
Posted
1 week ago
DockerMicroservicesSQLAWSMLOpsMachine LearningNLPScikit-learnScrumAgileAzureDeep LearningGenerative AIGitGoogle CloudHugging FaceKerasKubernetesLLMPyTorchPythonRESTTensorFlow

Job Description

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.

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