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Lead AI​/ML Engineer - Remote

Remote / Online - Candidates ideally in
Las Vegas, Clark County, Nevada, 89105, USA
Listing for: Lorven Technologies Inc.
Remote/Work from Home position
Listed on 2026-03-08
Job specializations:
  • IT/Tech
    AI Engineer, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below

Our client is looking Lead AI/ML Engineer for Contract project Remote below is the detailed requirements.

Job Title :
Lead AI/ML Engineer

Location :
Remote

Duration :
Contract

  • Bachelor's degree in Computer science or equivalent, with minimum 15+ Years of Overall IT experience.
  • Must have Proven AI/ML Leadership:
    10-15 years of experience in the AI/ML field
    , with at least 4-5 years in a leadership or management role leading technical teams in the delivery of complex AI solutions.
  • Must have Healthcare Domain Experience
    :
    Experience developing and deploying AI/ML solutions within a healthcare or other highly regulated environment.
  • Must have experience working closely with product managers to define and deliver AI-powered features and products.
  • Must have Expertise in GenAI Operations:
    Specific experience in the operational challenges of deploying and managing LLM-based applications in production.
  • Should have

    Experience with AI Governance:
    Direct, hands-on experience successfully navigating an internal AI ethics, risk, or governance review process for multiple projects.
  • Strong Project Management

    Skills:

    Demonstrated ability to manage complex technical projects from conception to deployment, with expertise in agile methodologies.
  • Expertise in the ML Lifecycle
    :
    Deep, practical knowledge of the entire machine learning lifecycle, from data acquisition and feature engineering to model deployment and post-launch monitoring.
  • Hands-on MLOps Experience
    :
    Proven experience building and managing CI/CD pipelines and MLOps workflows for machine learning.
  • Strong Technical Foundation:
    Proficient in Python, common ML frameworks (e.g., Tensor Flow, PyTorch, scikit-learn), and cloud platforms (AWS, Azure, or GCP).
  • Excellent communication and teamwork skills. Demonstrate excellent communication skills including the ability to effectively communicate with internal and external customers.
  • Ability to use strong industry knowledge to relate to customer needs and dissolve customer concerns and high level of focus and attention to detail.
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