Data Science ML/GenAI Engineer

Irth

Quebec

Hybrid

CAD 80,000 - 120,000

Full time

10 days ago

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Benefits offered by this job

Competitive salary

Medical, Dental, and Vision Insurance

401(k) Plan with Company Match

Generous PTO

Company-Paid Holidays

Flexible Work Options

On-Call Compensation

Job summary

Irth Solutions is seeking a Data Scientist to analyze, improve, and evolve data-processing pipelines into scalable, robust solutions. You will work with data and application teams to develop AI and ML solutions supporting Damage Prevention, Asset Integrity, Land Management, and Stakeholder Engagement.

The ideal candidate will handle data exploration, ML, NLP/LLM experimentation, software development, and productionization, ensuring reliable, maintainable systems across Irth’s platforms.

Qualifications

3–5 years of experience in data science or ML engineering with production-quality code.
Master’s degree or equivalent in data science, CS, statistics, or related field.
Hands-on NLP/LLM experience: RAG, embeddings, BM25, text classification, NER, and search.
Proficiency in Python (pandas, scikit-learn, PyTorch).
Strong software design, OOP, clean code principles.
Experience with Databricks or similar data platforms.

Responsibilities

Design, prototype, and evaluate LLM/NLP solutions to test hypotheses and address business needs.
Translate prototypes into production-ready, modular code.
Apply solid software engineering practices for scalable solutions.
Analyze existing data pipelines and applications to identify improvements.
Explore, transform, and analyze data with Databricks for ML projects.
Collaborate with data engineering and application teams for integration.

Skills

Python

NLP/LLM

REST APIs

Data analysis

Statistics

Education

Master’s degree or equivalent

Tools

Databricks

PyTorch

scikit-learn

Job description

About Irth Solutions

Irth Solutions is a leading provider of cloud-based SaaS solutions for damage prevention, asset integrity, stakeholder engagement, and land management. Our technology helps energy, utility, telecommunications, and infrastructure organizations protect and manage critical network infrastructure.

With nearly three decades of industry experience, Irth serves customers across North America and continues to expand its platform through data-driven and AI-powered capabilities.

About the Role

We are seeking a Data Scientist to help analyze, improve, and evolve existing codebases and data-processing pipelines into robust, scalable, and maintainable solutions.

In this role, you will work closely with our data and application development teams to develop practical AI and machine learning solutions that support Irth’s core business areas, including Damage Prevention, Asset Integrity, Land Management, and Stakeholder Engagement.

The ideal candidate is comfortable working across data exploration, machine learning, NLP/LLM experimentation, software development, and productionization.

Key Responsibilities

Design, prototype, and evaluate LLM/NLP solutions to test hypotheses and address business and technical needs, including:

Text classification

Entity extraction

Semantic search

Summarization

Other natural language processing and AI applications

Translate successful prototypes into production-ready solutions using clean, modular, maintainable, and well-tested code.

Apply sound object-oriented design and software engineering practices when developing and restructuring solutions.

Analyze and understand existing codebases, data pipelines, and applications to determine what should be preserved, improved, consolidated, or redesigned.

Explore, prepare, transform, and analyze data independently using Databricks to support machine learning models and data-processing pipelines.

Collaborate closely with the data engineering and application development teams to ensure effective integration between Databricks, data pipelines, models, and application services.

Participate in technical discussions and architectural decisions, providing recommendations for effective and maintainable solutions.

Help establish development practices that improve the reliability, scalability, testing, and maintainability of data science solutions.

Work collaboratively with engineering, data, and leadership teams to translate business requirements into practical technical solutions.

What Success Looks Like

In this role, you will help Irth move AI and data science initiatives from early-stage experimentation to reliable production solutions. You will contribute to building scalable data pipelines, reusable machine learning capabilities, and maintainable software that delivers measurable value across Irth’s products and industries.

AI Use in Hiring

As part of our hiring process, this role may use artificial intelligence or automated tools to assist in reviewing and screening applications. These tools support, but do not replace, human judgment in hiring decisions.

Role Type

This is a Back fill position.

Compensation

The salary range for this role is CAD $ 125505. This range reflects the base salary only and does not include any other compensation components. Any offers made are dependent on factors including and not limited to experience, skills, and location.

Requirements

Required Qualifications

3–5 years of experience in data science, machine learning, or ML engineering, with demonstrated experience developing production-quality code beyond notebooks.

Master’s degree or equivalent professional experience in data science, machine learning, computer science, statistics, or a related field, with a strong foundation in statistics and modeling methodologies.

Hands‑on experience developing NLP and/or LLM-based solutions, including:

Retrieval-Augmented Generation (RAG)

Embeddings and similarity search, including cosine similarity

Hybrid search combining BM25 and semantic search

Text deduplication techniques such as fuzzy matching and MinHash

Text classification and Named Entity Recognition (NER)

Search re-ranking

Prompt engineering

Strong proficiency in Python, including experience with pandas, scikit-learn, PyTorch, and other relevant machine learning libraries.

Strong understanding of object-oriented programming, clean code, and software design principles.

Strong data analysis skills with experience applying statistical methods such as exploratory data analysis, hypothesis testing, and statistical modeling.

Hands‑on experience with Databricks or a comparable data/analytics platform, including the ability to independently explore, transform, and prepare data.

Solid understanding of the machine learning lifecycle, including model training, evaluation, deployment, and production monitoring for issues such as model drift and data quality.

Experience designing and developing REST APIs to expose data, models, or analytical results to downstream applications.

Strong written and verbal communication skills, with the ability to collaborate effectively across technical teams with different responsibilities and priorities.

Nice-to-Have Qualifications

Experience working with news, social media, or other large-scale unstructured text data, including media monitoring, web scraping, or APIs.

Domain knowledge or professional experience in communications, public relations, media, or related industries.

Familiarity with the broader LLM ecosystem, including vector databases/stores, RAG frameworks, and fine-tuning NLP models.

Experience with MLflow or similar experiment-tracking and model-management tools.

Basic knowledge of TypeScript and Node.js.

Experience with CI/CD practices and version control, including Git, GitHub Actions, or equivalent tools.

AI Use in Hiring

As part of our hiring process, this role may use artificial intelligence or automated tools to assist with reviewing and screening applications. These tools support, but do not replace, human judgment in making hiring decisions.

Role Type

This is a Backfill position.

Compensation

The salary range for this role is CAD $80K-120K

This range reflects the base salary only and does not include any additional compensation components. Any offer of employment is dependent on several factors, including, but not limited to, the candidate’s experience, skills, qualifications, and location.

Benefits