AI Developer

Overview

Remote
Depends on Experience
Accepts corp to corp applications
Contract - W2
Contract - Independent

Skills

AI
Artificial Intelligence
AI/ML
Data preprocessing
feature engineering
Model training/testing
Predictive models
Chatbots
Recommendation systems
Automation tools using AI frameworks
Large Language Models (LLMs)
Generative AI models
GPT
Claude
Gemini
ML
NLP
Computer vision
LLMs
Generative AI.
AWS SageMaker
Azure ML
GCP Vertex AI
Git
API integration
Containerization (Docker/Kubernetes)

Job Details

Title: AI Developer

Location: Remote

About the Role

We are looking for an innovative AI Developer to design, build, and deploy artificial intelligence solutions that enhance business processes and drive data-driven decision-making.
You will work with data scientists, engineers, and product teams to develop intelligent systems using the latest machine learning and generative AI technologies.

Key Responsibilities

  • Design, develop, and deploy AI/ML models for various business use cases.
  • Perform data preprocessing, feature engineering, and model training/testing.
  • Build predictive models, chatbots, recommendation systems, or automation tools using AI frameworks.
  • Collaborate with cross-functional teams to define AI requirements and integrate solutions into products.
  • Fine-tune and evaluate Large Language Models (LLMs) and Generative AI models (GPT, Claude, Gemini, etc.).
  • Optimize model performance and scalability for cloud or on-prem deployment.
  • Stay current with new developments in AI, ML, NLP, and computer vision.

Required Skills & Qualifications

  • Bachelor s or Master s in Computer Science, AI, Data Science, or related field.
  • 3 7 years of experience in AI or ML development.
  • Strong programming skills in Python (experience with frameworks like TensorFlow, PyTorch, scikit-learn).
  • Solid understanding of machine learning algorithms, deep learning architectures, and data pipelines.
  • Experience with LLMs, NLP, or Generative AI.
  • Healthcare domain preferred
  • Familiarity with cloud AI platforms (AWS SageMaker, Azure ML, or Google Cloud Platform Vertex AI).
  • Knowledge of version control (Git), API integration, and containerization (Docker/Kubernetes).
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.