Enable job alerts via email!

Senior Data Scientist to develop and deploy AI/ML-driven solutions across IT/OT infrastructure

S I Systems

Regina, Calgary

On-site

CAD 100,000 - 130,000

Full time

4 days ago
Be an early applicant

Generate a tailored resume in minutes

Land an interview and earn more. Learn more

Start fresh or import an existing resume

Job summary

A leading company seeks a Senior Data Scientist to develop AI/ML-driven solutions across IT/OT infrastructure. This role involves building high-performance visual analytics systems, and deploying models into production. Candidates should possess strong programming skills in Python and C++, with expertise in machine learning and relevant tools.

Qualifications

  • 5+ years of experience as a Data Scientist with a strong background in AI/ML.
  • Expertise in developing high-performance visual analytics systems.

Responsibilities

  • Build visual analytics systems for anomaly detection.
  • Deploy AI models into production environments tied to IT/OT operations.
  • Document code and processes for reproducibility.

Skills

Machine Learning
Deep Learning
Statistical Modeling
Python
C++
Computer Vision
Unix OS Environment
Containerization

Tools

PyTorch
OpenCV
GStreamer
CuPy
Docker
Kubernetes

Job description

Senior Data Scientist to develop and deploy AI/ML-driven solutions across IT/OT infrastructure

Our large, enterprise client is seeking a Senior Data Scientist to develop and deploy AI/ML-driven solutions across IT/OT infrastructure. This is an initial1-year contract with a possibility of extension.

Must-Haves:

  • 5+ years as a Data Scientist, with a strong background in machine learning, deep learning, and statistical modeling
  • Experience developing and deploying AI/ML-driven solutions
  • Expertise with Python and C++ programming languages
  • Experience with computer vision ecosystems and ML toolsets: PyTorch, OpenCV (with CUDA acceleration), GStreamer, DeepStream, CuPy
  • Expertise in Python concurrency, including the CPython Global Interpreter Lock (GIL) and its trade-offs
  • Expertise developing in a Unix OS environment
  • Proficiency with CLI tooling, environment bootstrapping/maintenance, compiling open-source from source, Unix automation, and containerization (Docker, Kubernetes, etc.)

Nice-to-Haves:

  • Experience working with industrial data, IoT, and automation technologies
  • Experience integrating AI models with OT/IT infrastructure

Responsibilities Overview:

  • Build high-performance visual analytics systems for industrial use cases (e.g. anomaly detection on conveyor belts)
  • Implement low-latency on-GPU pipelines for frame decoding and inference (GStreamer, DeepStream)
  • Use profiling tools (like NVIDIA Nsight) to diagnose and optimize performance bottlenecks
  • Deploy AI models into production environments tied to IT/OT operations—supporting automation, predictive maintenance, and digital transformation
  • Work collaboratively across teams to translate business challenges into data-driven solutions
  • Ensure AI/ML integrations meet performance, reliability, and cybersecurity requirements
  • Communicate technical findings to both technical and non-technical stakeholders
  • Document code, models, processes, and best practices for reproducibility and scale
Get your free, confidential resume review.
or drag and drop a PDF, DOC, DOCX, ODT, or PAGES file up to 5MB.