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Irth Solutions
Irth Solutions
51 – 200 कर्मचारी
SaaSऊर्जादूरसंचार
Irth Solutions ऐसे SaaS टूल विकसित करती है जो ऊर्जा, उपयोगिता और दूरसंचार कंपनियों को महत्वपूर्ण नेटवर्क अवसंरचना की मजबूती बढ़ाने और परिचालन जोखिम प्रबंधित करने में सहायता करते हैं। इसका प्लेटफ़ॉर्म क्षति की रोकथाम, 811 टिकट प्रबंधन, कर्मचारियों का प्रशिक्षण, परिसंपत्ति निरीक्षण, भूमि प्रबंधन, कारोबारी खुफिया, विश्लेषण और भू-स्थानिक डेटा को एक साथ लाता है, जिससे संयुक्त राज्य अमेरिका और कनाडा में अवसंरचना नेटवर्क के संबंध में सक्रिय निर्णय लेने में सहायता मिलती है। OneBridge Solutions के अधिग्रहण के बाद, Irth Solutions अब परिसंपत्ति प्रदर्शन प्रबंधन की विस्तारित क्षमताएँ भी प्रदान करती है।
LinkedIn
कंपनी की नौकरियाँ

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.

CAकनाडा
$80,000 – $1,20,000 / वर्ष
रिमोटपूर्णकालिकमध्य स्तरवरिष्ठआवश्यक भाषा: अंग्रेज़ीआवश्यक भाषा: फ़्रेंचडेटा वैज्ञानिक
JavaScriptNode.jsPandasPythonPyTorchScikit-LearnTypeScript

विवरण

  • 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.

आवश्यकताएँ

  • 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.

लाभ

  • 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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