Senior Data Scientist - Generative AI for Subsurface

Seequent

Calgary

Hybrid

CAD 140,000 - 190,000

Full time

5 hours ago
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Benefits offered by this job

Hybrid work model
Volunteer day
Employee share purchase plan
Career development

Job summary

Seequent is hiring a Senior Data Scientist in Calgary to lead advanced ML/AI initiatives within Seequent Labs. You will contribute to generative and agentic AI projects for subsurface modeling, integrating ML into practical workflows and customer solutions.

The role requires 7+ years in ML/R&D, hands-on experience with LLMs, LangChain, LangGraph, and cloud-based data solutions. Hybrid work in Calgary is available with collaboration across teams.

Qualifications

  • 7+ years of research and development in machine learning, including deep learning.
  • Experience using large language models (LLMs).
  • Experience with LangChain and LangGraph.
  • Experience with orchestration of agentic solutions.
  • Experience with AI models for imagery, GIS, or 3D data (point cloud/meshes) preferred.
  • Commercial software development experience is a plus.
  • Experience with cloud-based data solutions.
  • Programming in Python with PyTorch.
  • Experience with modern data plotting libraries (D3, Plotly).

Responsibilities

  • Solve geoscience challenges using advanced ML/AI, including LLMs.
  • Develop and optimize AI/ML algorithms and assess performance and resilience.
  • Deliver high-quality prototypes and integrated algorithms addressing customer workflows.

Skills

Machine learning
Generative AI
Python
PyTorch
LangChain
LangGraph
Data analysis
Team collaboration

Education

PhD in ML or related field

Tools

LangChain
LangGraph
Cloud data solutions

Job description

Seequent is hiring a Senior Data Scientist in Calgary to lead advanced ML/AI initiatives within Seequent Labs. You will contribute to generative and agentic AI projects for subsurface modeling, integrating ML into practical workflows and customer solutions.

The role requires 7+ years in ML/R&D, hands-on experience with LLMs, LangChain, LangGraph, and cloud-based data solutions. Hybrid work in Calgary is available with collaboration across teams.

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