Lead AI/ML Engineer @ Remote

Remote • Posted 1 hour ago • Updated 1 hour ago
Full Time
Remote
Depends on Experience
Fitment

Dice Job Match Score™

📊 Calculating match score...

Job Details

Skills

  • Artificial Intelligence
  • Data Management
  • Data Quality
  • DevOps
  • NoSQL
  • Python
  • Machine Learning Operations (ML Ops)
  • Terraform
  • UI
  • SQL
  • Google Cloud Platform
  • Microsoft Azure
  • Amazon Web Services
  • Extract
  • Transform
  • Load
  • Vector Databases

Summary

Position: Lead AI/ML Engineer Location: Remote Duration: Full Time Experience Required: 10+ Years 


We are looking for an experienced contractor who is highly proficient in Python and has practical experience developing AI-powered systems. The preferred candidate should have worked with AI agents, Model Context Protocol (MCP), modern data management techniques, and cloud platforms to create scalable, production-ready solutions.
Core Responsibilities
  • Design, build, and maintain Python based services and automation workflows
  • Implement MCP for agent communication, control, and observability
  • Build, transform, and manage data pipelines supporting AI and analytics use cases
  • Deploy, monitor, and optimize solutions in cloud environments
  • Collaborate with product, data, and engineering teams to deliver end-to-end solutions
  • Ensure code quality, performance, security, and maintainability
Required Technical Skills
  • Python: Advanced proficiency; production experience with APIs, async processing, and testing
  • AI / LLM Agents: Experience designing and implementing autonomous or semiautonomous AI agents (e.g., tool using agents, planners, orchestrators)
  • MCP (Model Context Protocols): Experience with agent communication, coordination frameworks, or protocol driven AI architectures
Data Management:
  • Data modeling and data pipelines
  • Working with SQL and NoSQL databases
  • Experience with data quality, governance, and largescale datasets
Cloud Experience:
  • Hands on work in at least one major cloud platform (Azure, AWS, or Google Cloud Platform)
  • Experience with cloud storage, compute, and managed services
  • Familiarity with CI/CD and cloud native deployment patterns
Preferred / Nice to Have
  • Experience with vector databases and embeddings
  • Familiarity with MLOps or LLMOps practices
  • Experience with streaming data or event driven architectures
  • Knowledge of security and compliance considerations for AI systems
  • Prior work in enterprise or large-scale data management
  • Healthcare or other data regulated experience preferred
Engagement Characteristics
  • Contractor is expected to work independently with minimal supervision
  • Comfortable operating in fast moving, evolving technical environments
  • Strong documentation and communication skills
  • Experience collaborating with remote and cross functional teams
Technical Skills
  • AI/LLM Agent and MCP (Model Control Protocols)   Google ADK, Copilot Studio
  • Cloud Experience   Google Cloud or Azure preferred.
  • Database Knowledge   Big Query, Fire store, Cloud SQL, etc.
  • Data pipeline   Dataflow
  • Power Automate
  • Automation Tooling   UI Path, etc.
  • CI/CD Pipeline   Azure DevOps Pipeline
  • Infrastructure as Code (IaC) - Terraform
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: 10500016
  • Position Id: 8991486
  • Posted 1 hour ago
Create job alert
Set job alertNever miss an opportunity! Create an alert based on the job you applied for.

Similar Jobs

Remote

Today

Easy Apply

Full-time

$100,000 - $120,000

Remote

Today

Easy Apply

Full-time

Depends on Experience

Remote or San Francisco, California

Today

Full-time

USD 120,100.00 - 214,500.00 per year

Remote or Pennsylvania

Today

Easy Apply

Full-time, Contract

Search all similar jobs