AI/ML Engineer (Full Time)

Remote • Posted 18 hours ago • Updated 18 hours ago
Full Time
No Travel Required
Remote
Depends on Experience
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Fitment

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Job Details

Skills

  • Machine Learning (ML)
  • Artificial Intelligence
  • Machine Learning Operations (ML Ops)
  • Python

Summary

Title: AI/ML Engineer (Full Time)
Location: Remote 
 
Job Description -

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 large scale 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 – BigQuery, Firestore, 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: 91170791
  • Position Id: 8959385
  • Posted 18 hours ago

Company Info

About Purple Hires

At Purple Hires, we are dedicated to consistently delivering an outstanding recruitment experience that benefits both our clients and candidates.

We are committed to excellence in every aspect of our recruitment process. From understanding client requirements to sourcing, screening, and presenting the most suitable candidates, we maintain high standards and a results-driven approach. Our goal is not just to fill positions but to add genuine value to our clients’ teams by finding the right talent.

Honesty and openness are at the heart of our recruitment practices. We believe that clear, consistent communication fosters trust and reliability. Whether discussing job requirements, candidate expectations, or process timelines, we ensure that all parties remain well-informed and engaged. Transparency is key to building long-term relationships and ensuring mutual satisfaction.

Respect for both clients and candidates underpins our entire approach. We treat every individual with dignity and professionalism, recognizing that a positive experience leaves a lasting impact. From initial engagement to final placement, we handle each interaction with empathy and consideration, promoting a respectful and inclusive environment.

By combining performance, transparency, and respect, we create a seamless, rewarding recruitment experience. Clients can rely on us for consistent quality and integrity, while candidates feel valued and supported throughout their journey. This holistic approach allows us to build sustainable relationships and maintain a reputation as a trusted recruitment partner.

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