Data Science ML/GenAI Engineer

This is a fully remote position, open to applicants in Canada.

📋 Description

• Design, prototype, and assess LLM/NLP solutions to meet both business and technical requirements.

• Create applications for text classification, entity extraction, semantic search, summarization, and other NLP/AI functionalities.

• Conduct experiments with various models and techniques, assessing model quality, performance, and relevance prior to production.

• Explore, prepare, transform, and analyze data utilizing Databricks.

• Enhance and develop data pipelines tailored for machine learning and AI applications.

• Convert successful prototypes and proofs of concept into solutions ready for production.

• Write clean, modular, maintainable, and thoroughly tested code following object-oriented design and software engineering standards.

• Evaluate, improve, consolidate, or redesign current codebases, data pipelines, and applications.

• Enhance reliability, scalability, performance, and maintainability.

• Collaborate with data engineering, application development, engineering teams, leadership, and stakeholders.

• Engage in technical and architectural decision-making and establish enhanced practices for development, testing, and deployment.

• Convert business requirements into actionable technical solutions, delivering measurable value for Irth’s SaaS products that support critical infrastructure industries.

⛳️ Requirements

• 3–5 years of experience in data science, machine learning, or ML engineering, showcasing production-quality coding skills beyond notebooks.

• A Master’s degree or equivalent professional experience in data science, machine learning, computer science, statistics, or a related discipline, backed by a robust foundation in statistics and modeling methodologies.

• Practical experience in developing NLP and/or LLM-based solutions, such as RAG, embeddings and cosine similarity, hybrid BM25/semantic search, fuzzy matching, MinHash, text classification, NER, search re-ranking, and prompt engineering.

• High proficiency in Python, including knowledge of pandas, scikit-learn, PyTorch, and other relevant machine learning libraries.

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

• Excellent data analysis capabilities, encompassing exploratory data analysis, hypothesis testing, and statistical modeling.

• Practical experience with Databricks or a similar data/analytics platform.

• Familiarity with the machine learning lifecycle, covering training, evaluation, deployment, production monitoring, model drift, and data quality.

• Experience in designing and developing REST APIs.

• Exceptional written and verbal communication skills; proficiency in French and English is specifically required in the French qualifications.

• Preferred: 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

• Competitive Salary – A compensation package that reflects experience and qualifications.

• Medical, Dental, and Vision Insurance – Comprehensive 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 available based on the role and business requirements.

• On-Call Compensation – Additional pay for eligible on-call shifts.

• Competitive Salary — A compensation package that reflects experience and qualifications.

• Medical, Dental, and Vision Insurance — Comprehensive 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 available based on the role and business needs.

• On-Call Compensation — Additional pay for eligible on-call shifts.