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Added 1 month ago
FC
Sr Analyst, Advanced Analytics
Fidelity Canada
Toronto, ON
- Full-time
Experience with visualization software (Tableau, Power BI), Python and SQL
Added 1 month ago
O
Senior Data Engineer, Data Integration & Performance Platform (12-Month Contract)
OMERS
Toronto, ON · Head Office Toronto
- Full-time
Write production‑grade SQL and Python/PySpark code; optimise query performance, partition strategies, and warehouse sizing for cost and speed.
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
Resident Maintenance Technician
KION Group
Montreal, QC · DEMATIC Montreal
Dematic Corporation is now hiring for a Regional Resident Maintenance Technician. Under the direction of the Senior Field Service Manager, this position provides service and repair as well…
Added 1 month ago
S
Technical Engineer, Healthcare IT & PACS/Spécialiste technique, TI en santé et PACS
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Vancouver, BC
- Full-time
Escalate unresolved or highly complex issues to senior engineers or specialized teams, as appropriate.
Added 2 months ago
C
Senior Software Engineer - AI / ML
CyberCoders
Canada
- Full-time
-Programming: Proficient in Python; comfortable with SQL and data engineering patterns.
Added 2 months 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 1 month ago
BA
Sr. Analyst, Business Systems Analysis
Brookfield Asset Management
Toronto, ON · Brookfield Place
- Full-time
Proven expertise in ETL/ELT, data integration concepts with exposure to REST API, Python, Snowflake, SQL Server, XML, JSON, CSV.
Added 1 month ago
W
Early Careers: Affinity Internship – Winter, Summer or Fall 2027 – 4-8 month Co-op - Toronto or Montreal
WTW
Toronto, ON
- $30 to $35 CAD / hour
- Full-time
Experience with manipulating and summarizing large data sets using R, Python, SQL or similar programming tools.
Added 1 month ago
FC
Technical Analyst Sr
Fidelity Canada
Toronto, ON
- Full-time
We are seeking a Senior Technical Analyst / Developer to design, develop, deploy and support machine learning, data and AI solutions. This senior hands-on role combines technical analysis,…
Added 1 month ago
Fullstack Developer (Python) - Onboarding Team
AlayaCare
Montreal, QC
We are seeking a Fullstack Developer (Python) reporting to our Associate Director of Engineering to join one of our Product team. The candidate will be focusing on building high quality and…
Added 2 months ago
EB
Senior Manager, Model Development
EQ Bank
Toronto, ON
- Full-time
Advanced programming skills in Python and SQL.
Added 2 months ago
EB
Manager, Risk Data & Model Implementation
EQ Bank
Toronto, ON
- Full-time
Advanced database and programming skills in object-oriented programming languages (e.g., SQL, Python Programing) and familiarity with Python Flask/FastAPI, Azure Cloud Services are required.
Added 1 month ago
ST
Analyst, Risk Analytics & Performance
SS&C Technologies
Toronto, ON · Montreal, QC
- Full-time
Basic scripting, Python, SQL, or automation experience is an asset, but not required
Added 2 months ago
A
Senior Full Stack Engineer (Application + Data)
Article
Vancouver, BC
- $165,000 to $175,000 CAD / year
- Full-time
Build and maintain data pipelines using Python, SQL, dbt, and Databricks.
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 2 months ago
H(
Senior Manager, Total Fund Data Science and Modeling
HOOPP (Healthcare of Ontario Pension Plan)
Toronto, ON
- Full-time
Reporting to the Director, Data Science & Modeling, Total Fund Analytics, the Senior Manager will lead the design, development, and scaling of advanced data science, AI-enabled analytics,…
Added 1 month ago
Senior Software Developer
Bell
Montreal, QC
We are looking for a Senior Backend-focused Developer to join the team, the strategic network orchestration and automation engine for Bell Business Markets (Network as Code approach). Your…
Added 1 month ago
GS
Platform Support Database Administrator III
Guidewire Software
Mississauga, ON · Toronto, ON
- Full-time
…your expertise in Oracle RDS, Aurora PostgreSQL, and Microsoft SQL Server to troubleshoot complex issues, optimize performance, and guide schema and configuration changes in partnership…
Added 2 months ago
WC
Senior Specialist, Item File
Walmart Canada
Mississauga, ON
- Full-time
Added 1 month ago
TA
Manager / Sr Manager, Analytics Consulting - Retail/CPG
Tiger Analytics Inc.
Remote, Canada
- Full-time
- Remote
Hands-on experience with SQL, BI/visualization tools and/or Python, along with strong analytical aptitude.
Added 2 months ago
Senior Data Analyst
Konrad
Toronto, ON
As a Senior Data Analyst, you are an experienced analytics professional who leads analytical initiatives and partners directly with stakeholders to shape data-informed strategy. You drive…
Added 2 months 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 2 months ago
V
Senior Software Developer - Workflows
Verily
Toronto, ON
- Full-time
Demonstrated experience with Go, Java, Python, and/or SQL.
Added 2 months ago
B
Senior Business System Analyst
BMO
Toronto, ON · SCC
- Full-time
5+ years of experience in one or more of SQL, NoSQL, Python, Scala

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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