AI/ML Engineer (15+ Years)

Remote • Posted 4 hours ago • Updated 3 hours ago
Contract W2
Contract Independent
Contract Corp To Corp
No Travel Required
Remote
Depends on Experience
Fitment

Dice Job Match Score™

🛠️ Calibrating flux capacitors...

Job Details

Skills

  • Generative Artificial Intelligence (AI)
  • Machine Learning Operations (ML Ops)
  • PyTorch
  • Machine Learning (ML)
  • LangChain
  • Artificial Intelligence

Summary

Role : AI/ML Engineer

Location : Remote - Canada/ USA ( Only EST Time Zone)

Type: Contract

Experience : 15+ years

Education : PHD

 

JD :

  • Master’s degree with 4+ years of industry experience in AI/ML. 
  • Minimum 1 year of hands-on experience in Healthcare AI/ML applications. 
  • Proven experience delivering enterprise SaaS products through multiple production releases. 
  • Hands-on experience working with healthcare datasets such as EHR, ADT, clinical notes, or other healthcare data systems
  • Strong programming expertise in Python; knowledge of Java or other programming languages is an added advantage. 
  • Strong SQL and data engineering skills for AI/ML applications. 
  • Experience with big data technologies such as Azure Data Lake, Apache Spark, or Databricks. 
  • Solid understanding of transformer architectures and LLM-based applications. 
  • Hands-on experience with prompt engineering, fine-tuning, and PEFT methods such as LoRA and QLoRA. 
  • Experience using AI/ML frameworks and libraries including: 
  • Hugging Face Transformers 
  • PyTorch 
  • Scikit-learn 
  • NumPy 
  • Pandas 
  • SciPy 
  • LightGBM 

Experience building and deploying AI/ML solutions on Azure, AWS, or Google Cloud platforms. 

Familiarity with version control systems, CI/CD pipelines, and scalable ML deployment architectures. 

Strong communication, analytical thinking, and collaboration skills. 

Ability to work effectively in distributed and cross-functional teams. 

Technical Skills 

  • Machine Learning & Deep Learning 
  • Generative AI & LLMs 
  • Prompt Engineering & Fine-Tuning 
  • RAG Pipelines 
  • Hugging Face, PyTorch, Scikit-learn 
  • Spark, Databricks, Azure Data Lake 
  • Azure / AWS / Google Cloud 
  • CI/CD & MLOps 
  • LangChain, LlamaIndex, LangSmith 
  • Responsible AI & Model Evaluatio
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: 91081718
  • Position Id: 8968584
  • Posted 4 hours ago
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