Machine Learning Analyst

AbaData; Calgary; On-site; CAD 80,000 - 100,000; Full time

Job summary

A leading mapping and data visualization company in Calgary is seeking a Machine Learning Analyst to join their team. This hands-on position is ideal for new graduates looking to apply their Machine Learning and software development skills in a tech-driven environment supporting the energy sector. Responsibilities include building and optimizing ML models, integrating them into the product ecosystem, and conducting research. The company offers competitive salary, flexible time off, and career growth opportunities.

Benefits

Competitive salary and comprehensive benefits

Flexible paid time off

Career growth opportunities

Team building events

Qualifications

• Hands-on experience with Machine Learning, Deep Learning, and Python.
• Understanding of ML algorithms, evaluation metrics, and validation techniques.
• A quick learner who can pick up new skills independently.

Responsibilities

• Build, train, and optimize ML models for oil & gas applications.
• Integrate ML models into our broader product ecosystem.
• Conduct hands-on research and prototyping to evaluate new models.

Skills

Machine Learning

Deep Learning

Python

ML tools (PyTorch, NumPy, Scikit-learn)

Education

Bachelor’s degree in computer science, statistics, or a related field

Tools

PyTorch

NumPy

Scikit-learn

.NET

HTML/CSS

JavaScript

SQL

Git

Job description

AbaData

A leading mapping and data visualization company specializing in delivering cutting‑edge surface data solutions for the energy, environmental, renewables, and utilities sectors. Our platform integrates advanced data layers with innovative software, leveraging AI and Machine Learning to provide smarter insights and automation. By harnessing these technologies, we help clients streamline their operations and make data‑driven decisions with greater efficiency. We’re passionate about using technology to simplify complex challenges.

The Role

We are seeking a Machine Learning (ML) Analyst to join our growing company and team. This is a hands‑on opportunity, ideally for a new graduate, to apply your Machine Learning and Software Development knowledge in a real‑world, tech‑driven environment where your work directly supports the energy sector. You’ll be part of a collaborative team that values curiosity, initiative, and learning.

Location

This is an on‑site position in Calgary, AB (NW Calgary).

What you’ll be doing

• Build, train, and optimize ML models and pipelines for oil & gas applications and emerging industry use cases
• Integrate ML models into our broader product ecosystem, including data ETL, deployment, monitoring, and scalability
• Conduct hands‑on research, experiments, and prototyping to evaluate new models, tools, and techniques
• Maintain and improve experiment tracking, model versioning, and reproducibility workflows
• Implement model evaluation frameworks, including validation strategies, benchmarking, and error analysis
• Collaborate with the development team to package, test, and deploy ML features into production

Who we are looking for

• Bachelor’s degree or equivalent in computer science, statistics, or a related field
• Hands‑on experience with Machine Learning, Deep Learning, and Python
• Proficiency with ML tools and libraries such as PyTorch, NumPy, and Scikit‑learn
• Understanding of ML algorithms, evaluation metrics, and validation techniques
• Experience using LLMs or large‑scale model APIs (e.g., OpenAI API)
• Experience with full‑stack development (.NET, HTML/CSS, JavaScript), SQL, and/or Git is considered an asset
• A quick learner who can pick up new skills independently and effectively
• An adaptable problem solver able to execute on solutions without friction, including the ability to leverage tools

What We Offer

• A competitive salary with a comprehensive benefits plan and a flexible health spending account.
• Flexible paid time off and complimentary parking.
• Career growth opportunities in an expanding company.
• Regular team building events and in‑person socials with our Western Canadian offices.
• An opportunity to work alongside an exceptional team of accomplished developers and executives, including the former CEO and co‑founder of GasBuddy.