Data Science ML/GenAI Engineer

Irth Solutions

. Design, prototype, and evaluate LLM/NLP solutions for business and technical needs.

Posted 10/15/2026full-timeRemote • CanadaMid-LevelSenior💰 CA$80,000 - CA$120,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and deploying NLP and LLM-based solutions, with a strong foundation in data science and machine learning principles. Proficient in Python and data analysis, capable of translating business needs into effective technical solutions.

Highest-signal resume keywords

NLP Solution DevelopmentPython ProficiencyData Analysis SkillsObject-Oriented ProgrammingDatabricks Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Text ClassificationEntity ExtractionSemantic SearchStatistical ModelingModel EvaluationREST API DevelopmentPrompt EngineeringFuzzy MatchingMachine Learning LifecycleExploratory Data Analysis

Soft Skills

Strong Communication Skills

Tools & Technologies

DatabricksPyTorchPandasScikit-learnMLflowGitGitHub Actions

Certifications & Qualifications

Master's Degree in Data ScienceMachine Learning

Industry Keywords

SaaS ProductsCritical InfrastructureData PipelinesModel DriftUnstructured Text Data

Tech Stack

Tools & technologies

JavaScriptNode.jsPandasPythonPyTorchScikit-LearnTypeScript

About the role

Key responsibilities & impact

Design, prototype, and evaluate LLM/NLP solutions for business and technical needs.
Develop text classification, entity extraction, semantic search, summarization, and other NLP/AI applications.
Experiment with models and techniques and evaluate model quality, performance, and relevance before production.
Explore, prepare, transform, and analyze data using Databricks.
Develop and improve data pipelines for machine learning and AI solutions.
Transform successful prototypes and proofs of concept into production-ready solutions.
Develop clean, modular, maintainable, and well-tested code using object-oriented design and software engineering practices.
Analyze, improve, consolidate, or redesign existing codebases, data pipelines, and applications.
Improve reliability, scalability, performance, and maintainability.
Collaborate with data engineering, application development, engineering, leadership, and stakeholders.
Participate in technical and architectural decisions and establish improved development, testing, and deployment practices.
Translate business needs into practical technical solutions and deliver measurable value for Irth’s SaaS products serving critical infrastructure industries.

Requirements

What you’ll need

3–5 years of experience in data science, machine learning, or ML engineering, with demonstrated production-quality coding experience 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 RAG, embeddings and cosine similarity, hybrid BM25/semantic search, fuzzy matching, MinHash, text classification, NER, search re-ranking, and prompt engineering.
Strong proficiency in Python, including 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, including exploratory data analysis, hypothesis testing, and statistical modeling.
Hands-on experience with Databricks or a comparable data/analytics platform.
Understanding of the machine learning lifecycle, including training, evaluation, deployment, production monitoring, model drift, and data quality.
Experience designing and developing REST APIs.
Strong written and verbal communication skills; French and English proficiency explicitly required in the French qualifications.
Nice to have: experience with large-scale unstructured text data, communications/public relations/media, vector databases, RAG frameworks, NLP fine-tuning, MLflow, TypeScript, Node.js, CI/CD, Git, and GitHub Actions.

Benefits

Comp & perks

Competitive Salary – A competitive compensation package based on experience and qualifications.
Medical, Dental, and Vision Insurance – Comprehensive insurance coverage to support you and your family.
401(k) Plan with Company Match.
Generous Paid Time Off (PTO).
Company-Paid Holidays.
Flexible Work Options – Work-from-home opportunities are available, depending on the role and business needs.
On-Call Compensation – Additional pay for eligible on-call shifts.
Competitive Salary — A competitive compensation package based on experience and qualifications.
Medical, Dental, and Vision Insurance — Comprehensive insurance coverage to support you and your family.
Retirement Plan with Employer Matching.
Generous Paid Time Off.
Company-Paid Holidays.
Flexible Work Arrangements — Remote work opportunities are available depending on the role and business needs.
On-Call Compensation — Additional pay for eligible on-call shifts.