Machine Learning Engineer

Senior AI / Machine Learning Engineer

We are seeking a Senior AI / ML Engineer with deep hands‑on experience building Agentic AI systems and deploying production‑grade machine learning applications at enterprise scale. This role focuses on designing high‑performance cloud infrastructure, orchestrating ML workflows, and enabling scalable AI solutions.

• Senior-level, hands‑on experience building Agentic AI systems using the Lang Graph ecosystem (Lang Chain, Lang Graph, Lang Serve, etc.)
• Proven track record delivering production‑scale AI applications (not prototypes)
• Strong experience with Python
  , LLMOps
  , and AI orchestration frameworks
• Extensive hands‑on experience with enterprise‑scale AI/ML systems
• Solid knowledge of Py Torch and Tensor Flow
• Familiarity with Big Query
  , Lang Graph
  , and Lang Chain
• Experience working with Kubernetes
  , Docker
  , and Cloud Composer
• GCP strongly preferred
  , though highly experienced senior engineers on other cloud platforms may be considered
• Mandatory: At least 2 years of experience in retail or loyalty programs

• Architect and maintain scalable cloud infrastructure using GCP services such as:
  • Big Table
  • Big Query
• Automate and orchestrate end‑to‑end ML workflows
  , including ingestion, feature engineering, model training, evaluation, and deployment
• Enhance platform usability and improve scalability for ML practitioners
• Optimize data pipelines for low latency and cost efficiency
• Implement monitoring, alerting, and disaster recovery mechanisms
• Continuously evaluate emerging technologies and improve engineering best practices

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related discipline
• 6+ years of experience in software engineering, cloud infrastructure, data engineering, or ML platforms
• Strong hands‑on experience with GCP tools, including:
  • Big Query
  • Big Table
• Expert‑level Python skills (technical test will be in Python)
• Experience with Java or SQL for backend or data processing workflows
• Proficiency with workflow orchestration (e.g.,
  Apache Airflow
  )
• Strong CI/CD and Dev Ops experience
• Proficiency with Docker and Kubernetes

Seniority level:
Mid‑Senior level

Employment type:

Contract

Job function:
Information Technology

Industries:
Staffing and Recruiting

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