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Irth Solutions
Irth Solutions
51 – 200 Darbinieki
EnerģētikaSaaSTelekomunikācijas
Irth Solutions izstrādā SaaS rīkus, kas palīdz enerģētikas, komunālo pakalpojumu un telekomunikāciju uzņēmumiem stiprināt kritiskās tīklu infrastruktūras noturību un pārvaldīt darbības riskus. Tās platforma apvieno bojājumu novēršanu, 811 pieteikumu pārvaldību, darbinieku apmācību, aktīvu pārbaudes, zemes pārvaldību, biznesa informāciju, analītiku un ģeotelpiskos datus, lai atbalstītu proaktīvu lēmumu pieņemšanu infrastruktūras tīklos Amerikas Savienotajās Valstīs un Kanādā. Pēc OneBridge Solutions iegādes Irth Solutions piedāvā arī paplašinātas aktīvu veiktspējas pārvaldības iespējas.
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Vakances uzņēmumā

Data Science and GenAI Engineer

Build production machine learning, NLP, and generative AI solutions for Irth’s critical infrastructure SaaS platform. Develop Databricks pipelines and maintainable software for damage prevention and asset integrity.

CAKanāda
80 000 $ – 120 000 $ / gads
AttālinātiPilna slodzeVidējais līmenisVecākais speciālistsNepieciešamā Valoda: angļuNepieciešamā Valoda: frančuDatu zinātnieks
JavaScriptNode.jsPandasPythonPyTorchScikit-LearnTypeScript

Apraksts

  • Design and assess LLM and NLP solutions for business and technical use cases.
  • Build applications for text classification, entity extraction, semantic search, summarization, and related AI tasks.
  • Test models and methods, measuring quality, performance, and relevance before production.
  • Prepare, transform, and analyze data in Databricks.
  • Build and refine data pipelines for machine learning and AI systems.
  • Turn successful prototypes and proofs of concept into production-ready solutions.
  • Write modular, maintainable, well-tested code using object-oriented design and sound engineering practices.
  • Review and improve existing codebases, pipelines, and applications, including consolidating or redesigning them when needed.
  • Strengthen system reliability, scalability, performance, and maintainability.
  • Work with data engineering, application development, engineering, leadership, and other stakeholders.
  • Contribute to technical and architecture decisions and improve development, testing, and deployment practices.
  • Convert business needs into practical technical solutions for Irth’s SaaS products serving critical infrastructure industries.

Prasības

  • At least 3–5 years in data science, machine learning, or ML engineering, with production-quality coding experience beyond notebooks.
  • A master’s degree or equivalent professional experience in data science, machine learning, computer science, statistics, or a related field, plus a strong grounding in statistics and modeling methods.
  • Practical experience building NLP or LLM solutions, including RAG, embeddings and cosine similarity, hybrid BM25 and semantic search, fuzzy matching, MinHash, text classification, named entity recognition, search re-ranking, and prompt engineering.
  • Proficiency in Python and relevant machine learning libraries, including pandas, scikit-learn, and PyTorch.
  • Strong command of object-oriented programming, clean code, and software design principles.
  • Data analysis experience covering exploratory analysis, hypothesis testing, and statistical modeling.
  • Hands-on experience with Databricks or a comparable data and analytics platform.
  • Understanding of the ML lifecycle, including training, evaluation, deployment, production monitoring, model drift, and data quality.
  • Experience designing and building REST APIs.
  • Strong written and spoken communication skills; French and English proficiency are explicitly required in the French qualifications.
  • Preferred: experience with large-scale unstructured text, communications, public relations or media, vector databases, RAG frameworks, NLP fine-tuning, MLflow, TypeScript, Node.js, CI/CD, Git, or GitHub Actions.

Priekšrocības

  • Competitive compensation based on experience and qualifications.
  • Medical, dental, and vision coverage for employees and their families.
  • 401(k) plan with company matching.
  • Generous paid time off.
  • Company-paid holidays.
  • Work-from-home options may be available, depending on the role and business needs.
  • Additional compensation for eligible on-call shifts.
  • Competitive compensation based on experience and qualifications.
  • Medical, dental, and vision coverage for employees and their families.
  • Retirement plan with employer matching.
  • Generous paid time off.
  • Company-paid holidays.
  • Remote work options may be available depending on the role and business needs.
  • Additional compensation for eligible on-call shifts.

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