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Added 1 month ago
O
Data Engineer, Data Integration & Performance Platform (12-Month Contract)
OMERS
Toronto, ON · Head Office Toronto
- Full-time
…someone to simply complete tickets. We are looking for a future senior engineer - someone who wants to learn how enterprise data platforms are built, operated, and scaled, and who is…
Added 1 month ago
GP
Senior Software Engineer
Generac Power Systems
Toronto, ON · Canada - Toronto
- Full-time
We also use Java, Python, and JavaScript, and value choosing the right tool for the job.
Added 1 month ago
S
Technical Engineer, Healthcare IT & PACS/Spécialiste technique, TI en santé et PACS
Sectra
Vancouver, BC
- Full-time
…service-minded individuals with a passion for healthcare. As a Technical Engineer your role will focus on deploying and supporting critical systems that drive improved clinical…
Added 1 month ago
C
Senior Software Engineer - AI / ML
CyberCoders
Canada
- Full-time
We're looking for a Senior AI/ML Engineer to help expand our next-generation document intelligence system. Working in close collaboration with our Data Science team, you'll bring deep…
Added 1 month ago
OS
Python Developer
Open Systems Technologies
Mississauga, ON
- Contract
…building and supporting modern software solutions leveraging Python, microservices, APIs, event-driven architectures, and emerging AI…
Added 5 months ago
E
Digital - ASIC Design Automation Engineer
Eliyan
Toronto, Ontario
- Full-time
Strong Python, plus Tcl, shell scripting, Git, Linux, and Makefiles. You are comfortable owning a codebase, not only writing scripts.
Added 1 month ago
HT
Senior Azure DevOps Engineer
High Tech Genesis
Canada
- Contract
We are seeking a Senior Azure DevOps Engineer with strong hands-on experience designing, automating, and managing cloud infrastructure and deployment environments within Microsoft Azure.
Added 2 months ago
A
Senior Full Stack Engineer (Application + Data)
Article
Vancouver, BC
- $165,000 to $175,000 CAD / year
- Full-time
…challenging, meaningful problems. This is where you come in. As a Senior Software Engineer, Full Stack, you'll design, build, deploy, and operate software solutions across our entire…
Added 1 month ago
KD
AI/ML Engineer
Katalyst Data Management
Calgary, AB
- Full-time
Katalyst Data Management is seeking a Senior AI/ML Engineer to serve as a technical lead for segments of our AI innovation platform. This is a hands-on, high-impact role where you will own…
Added 1 month ago
Senior AI/ML Engineer
Katalyst Data Management
Calgary, AB
Join the dynamic and collaborative team at Katalyst Data Management (KDM)! KDM is seeking a Senior AI/ML Engineer to help design, build, and operate the infrastructure that powers our next…
Added 1 month ago
M
Senior Software Engineer
Microsoft
Vancouver, BC
- Full-time
…highly competitive market sound exciting to you? If so, this Senior Software Engineer role with the Microsoft Turing team may be a great fit for…
Added 1 month ago
M
Senior Security Engineer, Device/Hardware
Motive
Canada
- Full-time
As a Security Engineer, Hardware Security you will be a key member of the Product Security Team. You will be the primary Security partner for Engineering and Hardware teams, focusing on…
Added 1 month ago
M
Senior Security Engineer, Device/Hardware
Motive
Canada
- Full-time
As a Security Engineer, Hardware Security you will be a key member of the Product Security Team. You will be the primary Security partner for Engineering and Hardware teams, focusing on…
Added 1 month ago
ZT
Software Engineer, Professional Senior (Android + NFC/RFID +AI )
Zebra Technologies
Mississauga, ON
- Full-time
The Engineering Customer Response Team (ECRT) is seeking a Senior Software Engineer to provide world-class technical support to global enterprise customers for the Android Operating System,…
Added 1 month ago
P
Senior Full Stack Engineer
Procurify
Remote, Canada
- $122,000 to $152,000 CAD / year
- Full-time
- Remote
…services to responsive, user-friendly frontend components - using Python/Django and…
Added 1 month ago
AG
Senior Software Engineer, Performance / Ingénieur(e) Logiciel(le) Senior, Performance
Aduna Global
Montreal, QC
- Full-time
…and error rates are the value proposition. We are hiring a senior backend engineer to own performance as a production engineering discipline: profiling live systems, shipping fixes to…
Added 1 month ago
AG
Senior AI Developer / Développeur(se) IA senior
Aduna Global
Montreal, QC
- Full-time
Production first. Every engineer is close to what runs and to the customers who use it.
Added 1 month ago
AG
Senior Data Engineer / Ingénieur(e) de données senior
Aduna Global
Montreal, QC
- Full-time
…cross-operator analytics that feed our BI, analytics, and ML. As our Senior Data Engineer, you will design our lakehouse from the first table onward, then build and operate the pipelines…
Added 1 month ago
AG
Integration & Reliability Engineer / Ingénieur(e) en intégration et fiabilité
Aduna Global
Montreal, QC
- Full-time
We’re looking for an engineer who thrives at the intersection of integration, reliability, and customer success. You’ll work directly with major global partners - from telecom suppliers to…
Added 1 month ago
EG
Senior Water Resources Engineer
Egis Group
Edmonton, AB
- $105,000 to $130,000 CAD / year
- Full-time
The Senior Water Resources Engineer position is based in Edmonton, Alberta, Canada and is responsible for the planning, analysis, and delivery of water resources engineering and hydraulic…
Added 1 month ago
EG
Senior Water Resources Engineer
Egis Group
Calgary, AB · Edmonton, Alberta
- $105,000 to $130,000 CAD / year
- Full-time
The Senior Water Resources Engineer position is based in Calgary, Alberta, Canada and is responsible for the planning, analysis, and delivery of water resources engineering and hydraulic…
Added 1 month ago
EG
Senior Water Resources Engineer
Egis Group
Vancouver, BC · Edmonton, Alberta
- $105,000 to $130,000 CAD / year
- Full-time
The Senior Water Resources Engineer position is based in Vancouver, BC, Canada and is responsible for the planning, analysis, and delivery of water resources engineering and hydraulic…
Added 1 month ago
R
Senior Data Engineer
RBC
Vancouver, BC
- Full-time
In this role as a Senior Data Engineer, you will be responsible for development deliverables for the Finance Data Platform. The Platform, leverages Airflow and Databricks and serves as the…
Added 1 month ago
Modern Endpoint Management Engineer
Scotiabank
Toronto, ON
We are seeking an experienced Senior Engineer Third-Party Application Patch Management to Lead an enterprise-scale third-party application patch management across complex endpoint…
Added 1 month ago
C
Generative AI Engineer -Vice President
Citi
Mississauga, ON
- Full-time
We're searching for a highly skilled and experienced senior engineer and Python expert to lead the design and development of the various AI-related technologies as part of the Services Tech…

Katalyst Data Management

AI/ML Engineer

Calgary, AB, Canada

Full-time

Apply About employer

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Job details

Job type: Full-time
Experience: 1–3 years of professional experience in DevOps, systems administration, MLOps, or software engineering (or equivalent hands‑on experience)
Posting language: English
Posted: Sep 8, 2026

Original job description

Join the dynamic and collaborative team at Katalyst Data Management (KDM)! KDM is seeking an AI/ML Engineer to support the operation, optimization, and reliability of the infrastructure powering our AI innovation platform. This hands-on role will help maintain GPU environments, monitor large-scale data ingestion and document processing pipelines, support DevOps and platform operations, and contribute to scalable AI/ML solutions that deliver real value to global energy clients. The ideal candidate brings practical experience in systems administration, DevOps, MLOps, or software engineering; strong problem-solving skills; and the curiosity and adaptability to learn new tools quickly in a fast-moving technical environment.

Position Located in Houston, TX USA; Calgary, AB Canada; or Rio de Janeiro, Brazil
8:00 a.m. – 5:00 p.m. Monday to Friday
Full-Time position
Hybrid Schedule Availability

The Company

Katalyst Data Management (KDM) is a global leader in subsurface data management solutions for the energy industry. For over 30 years, we have helped oil and gas companies, national governments, and energy organizations maximize the value of their data through secure storage, quality management, digital delivery, and online data marketing services. Our industry-leading iGlass™ platform provides customers with reliable, secure, 24/7 access to critical subsurface information, supported by robust system redundancy and data protection controls. Through innovation, technical expertise, and exceptional customer service, KDM continues to deliver trusted solutions to clients around the world.

Key Responsibilities and Accountabilities

Katalyst Data Management is seeking a Senior AI/ML Engineer to serve as a technical lead for segments of our AI innovation platform. This is a hands-on, high-impact role where you will own architecture and day-to-day development for AI projects that move from prototype to production.

You will work directly with the Director of Innovation and a small, high-velocity team to build, ship, and iterate AI capabilities that deliver real value to leading oil and gas clients worldwide. This is not a research-only role; it requires sound architectural judgment, practical execution, and the ability to deliver production-ready solutions in a rapidly evolving technology landscape.

The position may be based in Rio de Janeiro, Brazil; Houston, Texas; or Calgary, Alberta. We value adaptability and intellectual curiosity over mastery of any single technology stack, and we are especially interested in candidates who have repeatedly learned new tools quickly, made thoughtful technical decisions under uncertainty, and shipped AI/ML solutions that work in production.

Key Responsibilities:

GPU Infrastructure & Server Management

Monitor, maintain, and optimize machine learning infrastructure, including test environments and production-grade NVIDIA GPU systems (e.g., the Houston DGX environment).
Manage GPU workload allocation and balancing across services such as embedding generation, OCR processing, and inference pipelines.
Establish and maintain system observability, including health metrics, alerting frameworks, and uptime targets for AI platforms.
Identify and implement improvements to system efficiency, resource utilization, and pipeline performance.
Diagnose and resolve hardware and system-level issues, including thermal constraints, NVIDIA Xid errors, driver compatibility, and power optimization.

Data Ingestion & Pipeline Operations

Operate and monitor large-scale ingestion pipelines processing high-volume datasets (500GB+), supporting thousands of documents in production environments.
Manage preprocessing workflows for domain-specific data formats, including LAS, DLIS, SEG-Y, NAV, PDF, and TIFF.
Monitor, troubleshoot, and optimize OCR workflows, with a focus on resolving bottlenecks in scanned legacy document processing.
Develop and maintain dashboards, logging, and alerting mechanisms to ensure pipeline visibility and reliability.
Perform data validation and quality assurance checks on ingested content; escalate anomalies and inconsistencies as required.

DevOps & Platform Support

Support CI/CD pipelines, automated testing frameworks, and release processes for the Katapult platform.
Assist in the administration and optimization of Elasticsearch/OpenSearch clusters, including index management and performance tuning.
Develop and maintain infrastructure documentation, including runbooks, troubleshooting guides, and operational playbooks.
Support and enhance containerized deployment environments using Docker and configuration management tools such as Ansible.

Team Collaboration & Enablement

Partner with Senior AI/ML Engineers to support RAG pipeline development, testing, and operationalization.
Assist with benchmarking and performance evaluation of embedding models, search configurations, and retrieval workflows.
Contribute to internal automation, scripting, and tooling to improve team productivity and platform reliability.
Participate in agile ceremonies, including sprint planning, code reviews, and technical design discussions.

Skills & Qualifications Required:

Experience with Elasticsearch or OpenSearch administration in production environments.
Strong familiarity with AWS services (e.g., EC2, S3) and exposure to AI platforms such as Bedrock or similar.
Experience with monitoring and observability tools (e.g., OpenTelemetry, Prometheus, Grafana).
Working knowledge of CI/CD pipelines and tools such as GitHub Actions or Jenkins.
Experience supporting NVIDIA GPU environments (CUDA, drivers, nvidia-smi).
Familiarity with OCR technologies and document processing pipelines.
Proficiency with Git/version control systems and exposure to Node.js / npm ecosystems.
Familiarity with agent-assisted development tools (e.g., Codex, Claude Code).
Experience supporting production AI, data, or search platforms in high-availability environments.
Exposure to large-scale data ingestion or document processing systems.
Interest in or familiarity with the oil and gas / energy domain is an asset.
Strong English communication skills, both oral and written, are required.

Preferred Qualifications & Skills

Oil and gas industry experience or domain knowledge, including well data, seismic data, or regulatory documents.
Experience with GPU-accelerated workloads and the NVIDIA ecosystem.
Background in OCR pipelines and large-scale document processing.
Familiarity with vision-language models for document understanding.
Experience with agent-to-agent or multi-agent AI system patterns.
Patent, publication, or conference presentation experience in ML/AI.

Required Education and Experience

1–3 years of professional experience in DevOps, systems administration, MLOps, or software engineering (or equivalent hands‑on experience)
Experience working in small, fast‑moving teams with a high degree of autonomy.
Basic understanding of machine learning concepts, including embeddings, inference, and model serving
Hands‑on experience with Linux workstations or servers
Experience deploying and managing containerized applications using Docker
Working knowledge of PostgreSQL or similar relational databases
Proficiency in scripting with Python and/or Bash for automation and monitoring.

Work Environment:

This role is based in a professional office setting with routine use of computers and collaboration tools. Work is highly technical and team-oriented, involving close coordination with Cloud, Infrastructure, and Software Engineering teams. The environment emphasizes automation, scalability, and security, with frequent virtual meetings and occasional cross-functional project work.

Physical Demands:

This is primarily a sedentary role, involving extended periods of computer work. Occasional tasks may include setting up equipment, organizing supplies, or preparing meeting spaces, which could require light lifting, bending, or standing as needed.

Position Type and Expected Hours of Work:

This is a full-time position. As a full-time position, the AI/ML Engineer is eligible to participate in benefits coverage offered to Katalyst employees based on geographical location.

Monday through Friday, 8:00 a.m. to 5:00 p.m., with occasional extended hours to support deployments or maintain service continuity

Travel:

Minimal travel may be required for on-premises infrastructure support, implementation, or occasional team collaboration. If participation in an offsite meeting is requested, all related travel expenses will be covered or reimbursed, in accordance with the company’s policies and local regulations.

Apply About employer

More about this job

Responsibilities

The AI/ML Engineer will manage and optimize GPU infrastructure, large-scale data ingestion pipelines, and production-grade AI platforms. They will also collaborate with the innovation team to develop, deploy, and maintain scalable AI solutions for the energy industry.

Requirements

Candidates must have 1–3 years of professional experience in DevOps, MLOps, or software engineering with hands-on experience in Linux and containerized environments. Proficiency in Python, Bash, and cloud-based AI infrastructure is required, along with strong problem-solving skills.

Skills

Elasticsearch
OpenSearch
AWS
Python
Bash
Docker
CI/CD
NVIDIA GPU
CUDA
PostgreSQL
Linux
OCR
Prometheus
Grafana
OpenTelemetry
Ansible

Benefits

Health insurance coverage
Travel expense reimbursement

Visa sponsorship

Not detected in the job text

Keywords

AI/ML Engineer
DevOps
MLOps
GPU Infrastructure
Elasticsearch
OpenSearch
AWS
Python
Bash
Docker
CI/CD
PostgreSQL
Linux
OCR
Prometheus
Grafana
OpenTelemetry
Ansible
Data Ingestion
Inference
Embeddings
Energy Industry
Oil and Gas
Subsurface Data
iGlass
Katapult
NVIDIA
CUDA
System Observability
Automation

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