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Senior Ai​/ml Engineer – Remote Est Time Zone

Remote / Online - Candidates ideally in
Brampton, Ontario, Canada
Listing for: Envision Technology Solutions
Remote/Work from Home position
Listed on 2026-06-07
Job specializations:
  • Software Development
    AI Engineer, Machine Learning/ ML Engineer, Data Scientist, Data Engineer
Job Description & How to Apply Below
Position: Senior Ai/ml Engineer – Remote Est Time Zone, Usa

Job Title:

Senior AI/ML Engineer

Location:

Remote – USA/Canada (EST Time Zone only)

Type:
Contract (C2C/W2)

Experience Level: 15+ years (PhD in relevant domain preferred)

Job Description

Role

Summary:

We are seeking a Senior AI/ML Engineer with deep expertise in Generative AI, LLMs, and healthcare datasets. The ideal candidate will have a proven track record of delivering enterprise SaaS products, robust programming skills, and hands‑on experience with healthcare AI/ML applications. A PhD is a strong advantage.

Key Responsibilities
  • Design, build, and deploy AI/ML solutions across healthcare and enterprise SaaS environments
  • Work with healthcare datasets (EHR, ADT, clinical notes, etc.) ensuring compliance and accuracy
  • Implement transformer architectures and LLM‑based applications
  • Apply prompt engineering, fine‑tuning, and PEFT methods (LoRA, QLoRA)
  • Build RAG pipelines and integrate with Lang Chain, Llama Index, Lang Smith
  • Collaborate with cross‑functional teams to deliver production‑ready ML solutions
  • Ensure responsible AI practices and model evaluation standards
  • Work in distributed teams across EST time zone
Mandatory Skills
  • Master’s degree (PhD preferred) with 15+ years of experience in AI/ML
  • Minimum 1 year in Healthcare AI/ML applications
  • Solid programming expertise in Python (Java optional)
  • Solid SQL and data engineering skills
  • Big data technologies:
    Azure Data Lake, Apache Spark, Databricks
  • AI/ML frameworks:
    Hugging Face Transformers, PyTorch, Scikit‑learn, Num Py, Pandas, Sci Py, LightGBM
  • Cloud platforms:
    Azure, AWS, GCP
  • CI/CD pipelines, MLOps, scalable ML deployment architectures
  • Strong communication and collaboration skills
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Position Requirements
10+ Years work experience
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