Machine Learning Engineer

Hire Today

Hinoba-an

On-site

PHP 1,004,000 - 1,674,000

Full time

2 days ago
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Job summary

Hire Today is seeking a Machine Learning Engineer to join the CX Intelligence team. You will help build and improve AI-powered customer support experiences by connecting vendor AI, internal multi-agent systems, and human participants through a unified orchestration layer.

You will develop production-grade Python services, drive ML projects from design to delivery, and collaborate with cross-functional teams while upholding security, compliance, and performance standards in a fast-paced

Qualifications

  • Bachelor's degree or equivalent technical qualification.
  • Experience with ML engineering and production Python services is a plus.
  • Familiarity with AI/ML tooling and frameworks.

Responsibilities

  • Build and improve orchestration layers for state transitions.
  • Implement context sharing and intent routing across LLM frameworks.
  • Develop production-grade Python services for ML workflows.
  • Drive ML projects from design through delivery.
  • Contribute to system design and AI/ML engineering practices.
  • Collaborate with engineering and cross-functional teams.
  • Ensure solutions meet security, compliance, and performance standards.

Skills

Python
LLM
LangGraph
LangSmith
Google ADK
AWS Bedrock
NLP
Information Retrieval
Computer Vision
Statistical Modeling
REST APIs
AI Orchestration
Multi-Agent Systems

Education

Bachelor's degree or equivalent

Job description

As a Machine Learning Engineer on the CX Intelligence team, you will help build and improve AI-powered customer support experiences. You will contribute to a unified orchestration layer connecting vendor AI, internal multi-agent systems, and human participants, while building reliable and scalable machine learning services.

Responsibilities
  • Build and improve orchestration layers for state transitions
  • context sharing
  • and intent routing across LLM frameworks
  • develop production-grade Python services
  • drive ML projects from design through delivery
  • contribute to system design and AI/ML engineering practices
  • collaborate with engineering and cross-functional teams
  • ensure solutions meet security
  • compliance
  • and performance standards.
Skills required
  • Python
  • LLM
  • LangGraph
  • LangSmith
  • Google ADK
  • AWS Bedrock
  • NLP
  • Information Retrieval
  • Computer Vision
  • Statistical Modeling
  • REST APIs
  • AI Orchestration
  • Multi-Agent Systems
Minimum Qualifications
  • Bachelor's degree or equivalent technical qualification
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