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Added 6 months ago
Product Manager - Data Platform
Spotify
Toronto, ON
Stay informed on industry trends across data platforms, developer tools, AI/ML infrastructure, analytics, and data governance.
Added 1 month ago
KI
Intern Developer, AI Solutions
Kinaxis Inc.
Ottawa, ON
- Internship
As an intern ML developer, you are passionate about shipping large-scale software systems in a fast-paced environment but can balance longer term concerns such as maintainability,…
Added 1 month ago
FA
Founding Sales Engineer
Featherless AI
Remote, Canada
- $150,000 to $190,000 USD / year
- Full-time
- Remote
3–6 years in a closing role in Cloud Infrastructure, MLOps, or AI/developer tooling
Added 1 month ago
Software Development Engineer in Test, Full Stack, Creativity Apps
Apple
Vancouver, BC
The Creativity Applications team is looking for a Software Development Engineer in Test who has experience in shipping iOS/macOS applications, cloud-based frameworks, and APIs with the…
Added 1 month ago
SE
Senior Manager, Cloud Development
Samsung Electronics
Mississauga, ON
- Full-time
The Senior Manager, Cloud Development is a hybrid role that combines strategic planning, technical design, and hands-on development to deliver scalable, secure, and efficient cloud-based…
Added 1 month ago
B
Data Solution Architect
Bombardier
Dorval, QC
- Full-time
…our industry and beyond. By prioritizing employee growth and development, we empower everyone to reach their full potential on their own terms, because the best work happens when you are…
Added 1 month ago
A
Sr. Product Manager, Alexa Canada
Amazon
Toronto, ON
- Full-time
…technical PMs, solution architects, engineering, content, business development, and legal to ensure customers have access to a world-class Alexa experience in…
Added 1 month ago
Intermediate Machine Learning Engineer
Aviva
Markham, ON
…engineers, data scientists, and product teams to support the development and operationalization of ML models across the…
Added 1 month ago
ES
AI practice lead - Financial services and Insurance
EPAM Systems
Canada
- Full-time
Understanding of data science engineering excellence and the modern software development lifecycle for artificial intelligence products
Added 1 month ago
V
Enterprise Account Executive
Voices
Toronto, ON
- Full-time
Growth: We invest in your long-term success. Gain access to a dedicated professional development budget and premium online learning platforms, backed by transparent career pathways and…
Added 1 month ago
V
Enterprise Account Executive
Voices
Ottawa, ON
- Full-time
Growth: We invest in your long-term success. Gain access to a dedicated professional development budget and premium online learning platforms, backed by transparent career pathways and…
Added 1 month ago
V
Enterprise Account Manager - AI Solutions
Voices
Toronto, ON
- Full-time
Growth: We invest in your long-term success. Gain access to a dedicated professional development budget and premium online learning platforms, backed by transparent career pathways and…
Added 1 month ago
V
Enterprise Account Executive
Voices
Waterloo, ON
- Full-time
Growth: We invest in your long-term success. Gain access to a dedicated professional development budget and premium online learning platforms, backed by transparent career pathways and…
Added 1 month ago
V
Enterprise Account Executive
Voices
Windsor, ON
- Full-time
Growth: We invest in your long-term success. Gain access to a dedicated professional development budget and premium online learning platforms, backed by transparent career pathways and…
Added 1 month ago
V
Senior AI/ML Scientist
Vanguard
Toronto, ON
- Full-time
Experience with machine learning development lifecycle and AI/ML methods such as Transformers, Diffusion Models, SHAP, LLM and GenAI etc.
Added 1 month ago
FC
Sr Analyst, Advanced Analytics
Fidelity Canada
Toronto, ON
- Full-time
Understanding of agile development and model development lifecycle, familiarity with CI/CD pipelines
Added 1 month ago
C
Senior Software Engineer - AI / ML
CyberCoders
Canada
- Full-time
-LLM Feature Development: Ship production LLM-powered features end-to-end, from prompt design through evaluation, not just prototypes.
Added 1 month ago
KD
AI/ML Engineer
Katalyst Data Management
Calgary, AB
- Full-time
…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…
Added 1 month ago
Senior AI/ML Engineer
Katalyst Data Management
Calgary, AB
…high-impact role where you will own architecture and day-to-day development for AI projects that move from prototype to…
Added 1 month ago
C
Coop AI Developer
CGI
Calgary, AB
- Full-time
Winter 2027 Co-op: AI Software Developer (4 - 8 Months)
Added 1 month ago
MC
AML/ATF Quality Control Specialist
Meridian Credit Union
Toronto, ON
- $68,800 to $100,000 CAD / year
- Full-time
The incumbent will contribute to the ongoing development of the Quality Control Program to ensure it effectively meets its primary assurance objectives for monitoring the AML Operations…
Added 1 month ago
Senior Director, Engineering - Innovation Tribe
Fitch Group
Toronto, ON
Define and champion the future of software and ML delivery Move beyond conventional delivery frameworks to embrace AI-augmented development lifecycles - where AI tooling accelerates every…
Added 1 month ago
CS
Distributed Software Engineer
Cerebras Systems
Remote, Canada
- Full-time
- Remote
The Cluster engineering team owns the software that turns thousands of wafers, servers, and switches into a cloud that stays up, stays busy, and stays debuggable. We stand clusters up from…
Added 1 month ago
P
Senior Full Stack Engineer
Procurify
Remote, Canada
- $122,000 to $152,000 CAD / year
- Full-time
- Remote
We're looking for a pragmatic and thoughtful engineering leader to help scale our platform, development practices, and team.
Added 1 month ago
AW
Business Analytics Specialist
Aviso Wealth
Remote, Canada
- $83,000 to $100,000 CAD / year
- Full-time
- Remote
Commitment to the continuous improvement of our staff through learning & development and an education assistance program

Katalyst Data Management

Senior AI/ML Engineer

Calgary, AB, Canada

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Job details

Experience: 5+ years of professional software engineering experience, including 3+ years building and operating ML/AI-enabled applications in production.
Posting language: English
Posted: Sep 8, 2026

Original job description

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 generation of AI-enabled data solutions. This is an exciting opportunity for a hands-on technical leader who can scale production AI/ML systems, optimize GPU and cloud environments, and deliver reliable, secure platforms that support innovation for global energy clients. Qualified candidates will bring strong engineering judgment, practical AI/ML deployment experience, and the ability to turn complex technical requirements into production-ready solutions.

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:

Operate, scale, and optimize production GPU environments supporting AI workloads, including inference/model serving, OCR and vision models, embeddings, and large-scale document ingestion.
Lead the design and implementation of production AI/ML services that support intelligent search, classification, retrieval, and natural language interfaces for subsurface and E&P data.
Own technical architecture for core platform components, including retrieval systems, orchestration, model serving, and data pipelines, while balancing reliability, cost, security, and delivery speed.
Build, maintain, and optimize retrieval systems using relational databases, full-text search, and search or analytics platforms such as Elasticsearch/OpenSearch.
Develop and maintain RAG-style pipelines, including embeddings, vector search, hybrid retrieval, reranking, grounding, and evaluation against real customer workflows.
Integrate LLM APIs and agentic tooling into end-to-end applications, including prompt design, tool/function calling, evaluation, and production guardrails.
Support deployment, observability, alerting, incident response, and CI/CD practices across on-premises and cloud environments.
Partner with product leaders, business stakeholders, data experts, and domain specialists to translate ambiguous problems into clear technical plans, milestones, and measurable outcomes.
Establish and uphold engineering standards for code review, testing, documentation, design reviews, and operational excellence.
Mentor and provide technical guidance to engineers as the platform evolves.

Required Qualifications

Bachelor’s degree in computer science, Engineering, Data Science, or a related field, or equivalent practical experience.
5+ years of professional software engineering experience, including 3+ years building and operating ML/AI-enabled applications in production.
Demonstrated experience designing and supporting end-to-end services, including APIs, data pipelines, model integration, observability, deployment, and operations.
Hands-on experience delivering search or information retrieval features, including full-text search, ranking/relevance, indexing strategy, and performance optimization.
Experience working in cloud environments and shipping containerized services using CI/CD practices.
Strong English communication skills, both oral and written, are required.

Skills Required:

Strong programming skills in Python preferred and/or Node.js, including writing clean, testable code and reviewing others’ code.
Strong SQL and relational database experience, including advanced querying, schema design awareness, full-text search, and performance tuning.
Experience with search and analytics platforms such as Elasticsearch/OpenSearch or equivalent.
Practical experience integrating LLM APIs into applications, including prompting patterns, tool/function calling, basic evaluation, and production guardrails.
Comfort working with modern AI development workflows, including agentic coding tools such as Claude Code or Codex to accelerate delivery while maintaining quality.
Working knowledge of cloud services and security fundamentals, including IAM concepts, secrets management, and network boundaries.
Strong English communication skills, both oral and written, with the ability to explain complex technical concepts clearly to technical and non-technical stakeholders.
Ability to translate ambiguous business needs into clear technical plans, trade-offs, and deliverables.

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.

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 Senior 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.

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More about this job

Responsibilities

The Senior AI/ML Engineer will lead the design, development, and operation of production-ready AI/ML systems and infrastructure. They will collaborate with cross-functional teams to build scalable retrieval systems, optimize GPU environments, and integrate LLM-based solutions for energy industry data.

Requirements

Candidates must have a bachelor's degree in a relevant field and at least 5 years of professional software engineering experience, including 3 years in production AI/ML. Strong proficiency in Python, SQL, cloud environments, and search/retrieval technologies is required.

Skills

Python
Node.js
SQL
Elasticsearch
OpenSearch
Machine Learning
Artificial Intelligence
Cloud Computing
CI/CD
Retrieval Augmented Generation
LLM APIs
GPU Optimization
Data Pipelines
System Architecture
Containerization
Technical Leadership

Benefits

Health insurance
Professional development
Collaborative work environment

Visa sponsorship

Not detected in the job text

Keywords

AI/ML Engineer
Python
Node.js
SQL
Elasticsearch
OpenSearch
RAG
LLM
GPU
Cloud
CI/CD
Containerization
Subsurface Data
Energy Industry
iGlass
OCR
Vision Models
Embeddings
Vector Search
System Architecture
Inference
Model Serving
Data Pipelines
Technical Leadership
Observability
Incident Response
API
Agentic Tooling
Prompt Design
Production Guardrails

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