Data Science Engineer – ML, GenAI

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

📋 Description

• Design, prototype, and assess LLM/NLP solutions, which encompass text classification, entity extraction, semantic search, summarization, and various NLP/AI applications.

• Convert successful prototypes into production-ready, clean, modular, maintainable, and thoroughly tested code.

• Implement object-oriented design and software engineering methodologies.

• Evaluate existing codebases, data pipelines, and applications to identify elements to preserve, enhance, consolidate, or redesign.

• Independently explore, prepare, transform, and analyze data using Databricks.

• Work collaboratively with data engineering and application development teams to integrate Databricks, data pipelines, models, and application services.

• Engage in technical discussions and contribute to architectural decisions.

• Establish development practices aimed at enhancing reliability, scalability, testing, and maintainability.

• Convert business requirements into actionable technical solutions in collaboration with engineering, data, and leadership teams.

• Advance AI and data science projects from initial experimentation to dependable production solutions.

• Develop scalable data pipelines, reusable machine learning capabilities, and maintainable software for Irth’s products and industries.

⛳️ Requirements

• 3–5 years of experience in data science, machine learning, or ML engineering, including production-quality code that goes beyond notebooks.

• Master’s degree or equivalent professional background in data science, machine learning, computer science, statistics, or a related field.

• Solid foundation in statistics and modeling methodologies.

• Practical experience with NLP and/or LLM-based solutions.

• Knowledge of Retrieval-Augmented Generation (RAG).

• Familiarity with embeddings and similarity search, including cosine similarity.

• Experience in hybrid search that combines BM25 and semantic search.

• Skills in text deduplication using fuzzy matching and MinHash.

• Proficiency in text classification and Named Entity Recognition (NER).

• Experience with search re-ranking.

• Expertise in prompt engineering.

• Strong command of Python, including libraries such as pandas, scikit-learn, PyTorch, and other relevant ML libraries.

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

• Proficient in statistical methods including exploratory data analysis, hypothesis testing, and statistical modeling.

• Hands-on experience with Databricks or a similar data/analytics platform.

• Understanding of the machine learning lifecycle, including training, evaluation, deployment, and monitoring for model drift and data quality.

• Experience in designing and developing REST APIs.

• Strong written and verbal communication skills.

• Nice-to-have: experience with large-scale unstructured text data, media monitoring, web scraping, or APIs.

• Nice-to-have: background in communications, public relations, media, or a related industry.

• Nice-to-have: familiarity with vector databases/stores, RAG frameworks, and NLP model fine-tuning.

• Nice-to-have: experience with MLflow or similar tools.

• Nice-to-have: knowledge of TypeScript and Node.js.

• Nice-to-have: experience with CI/CD and version control systems, including Git or GitHub Actions.

🏝️ Benefits

• Competitive compensation package commensurate with experience and qualifications.

• Medical, Dental, and Vision Insurance.

• 401(k) Plan with Company Match.

• Generous Paid Time Off (PTO).

• Company-Paid Holidays.

• Flexible Work Options – Opportunities for remote work are available, depending on the role and business requirements.

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