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

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