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Senior AI/ML Scientist (PHD)

GLOBAL IT CON LLCUnited States🇺🇸United StatesPosted 21 Jul 2026

Quick Overview

Work Type
Remote
Level
Mid Senior

Job Description

Position: Senior AI/ML Scientist
Location: Remote (United States)
Type: Long Term Contract
Experience: 10+ Years
Education: PhD Required
About the Role:
We are seeking a Senior AI/ML Scientist to design, build, and scale machine learning systems that drive personalization, customer intelligence, and business decision-making. This role combines advanced machine learning, statistical modeling, Generative AI, and Agentic AI to deliver impactful solutions across the organization.
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Key Responsibilities:
  • Design, develop, and deploy production-grade propensity models and recommendation systems
  • Lead applied research and statistical analysis to support business strategy and experimentation
  • Build, train, and deploy ML models on Google Cloud Platform (Vertex AI, BigQuery ML, Dataflow, Cloud Run)
  • Integrate Generative AI and Agentic AI capabilities into ML workflows and products
  • Design feature stores, training pipelines, and model monitoring frameworks
  • Translate business problems into scalable machine learning solutions
  • Mentor junior team members and contribute to MLOps best practices
Required Skills:
  • Machine Learning & Statistical Modeling
  • Google Cloud Platform (Vertex AI, BigQuery)
  • Generative AI & Agentic AI
  • Python (TensorFlow / PyTorch / Scikit-learn)
  • Recommendation Systems & Propensity Modeling
Required Qualifications:
  • PhD in Computer Science, Statistics, Machine Learning, Applied Mathematics, or a related quantitative field
  • 5+ years of industry experience building and deploying ML models in production
  • Expertise in causal inference, A/B testing, and experimental design
  • Strong experience with LLMs, RAG, prompt engineering, and agent frameworks
  • Must be authorized to work in the United States or Canada

Skills

MLOps
Machine Learning
Scikit-learn
BigQuery
Generative AI
Google Cloud
PyTorch
Python
TensorFlow

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