AI/ML Engineer

Role - AI/ML Engineer

Location: Remote

Salary - $110-$120K

Role/skills Name: Terraform, Python, Cloud, Google Cloud Platform, Data Management, AI/ML, MCP

Role Summary

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 modelling 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