Data Science Engineer – ML, GenAI

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Irth Solutions

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 1995

☁️ SaaS

⚡ Energy

📡 Telecommunications

💰 Private Equity Round on 2015-07

SaaS • Energy • Telecommunications

Irth Solutions is a market-leading provider of a SaaS platform focused on enhancing resilience and reducing risk in the management of critical network infrastructure. Their solutions are trusted by energy, utility, and telecom companies across the U. S. and Canada, offering capabilities in damage prevention, training, asset inspections, land management, and 811 ticket management. By leveraging business intelligence, analytics, and geospatial data, Irth Solutions provides comprehensive situational awareness to proactively manage and mitigate risks in network infrastructure. The acquisition of OneBridge Solutions enhances their asset performance management offerings.

📋 Description

• Design, prototype, and evaluate LLM/NLP solutions, including text classification, entity extraction, semantic search, summarization, and other NLP/AI applications • Translate successful prototypes into production-ready, clean, modular, maintainable, and well-tested code • Apply object-oriented design and software engineering practices • Analyze existing codebases, data pipelines, and applications to determine what to preserve, improve, consolidate, or redesign • Explore, prepare, transform, and analyze data independently using Databricks • Collaborate with data engineering and application development teams to integrate Databricks, data pipelines, models, and application services • Participate in technical discussions and architectural decisions • Establish development practices that improve reliability, scalability, testing, and maintainability • Translate business requirements into practical technical solutions with engineering, data, and leadership teams • Move AI and data science initiatives from early-stage experimentation to reliable production solutions • Build 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 beyond notebooks • Master’s degree or equivalent professional experience in data science, machine learning, computer science, statistics, or a related field • Strong foundation in statistics and modeling methodologies • Hands-on experience with NLP and/or LLM-based solutions • Retrieval-Augmented Generation (RAG) • Embeddings and similarity search, including cosine similarity • Hybrid search combining BM25 and semantic search • Text deduplication using fuzzy matching and MinHash • Text classification and Named Entity Recognition (NER) • Search re-ranking • Prompt engineering • Strong proficiency in Python, including pandas, scikit-learn, PyTorch, and relevant ML libraries • Object-oriented programming, clean code, and software design principles • Statistical methods 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: training, evaluation, deployment, and production monitoring for model drift and data quality • Experience designing and developing REST APIs • Strong written and verbal communication skills • Nice-to-have: large-scale unstructured text data, media monitoring, web scraping, or APIs • Nice-to-have: communications, public relations, media, or related industry experience • Nice-to-have: vector databases/stores, RAG frameworks, and NLP model fine-tuning • Nice-to-have: MLflow or similar tools • Nice-to-have: TypeScript and Node.js • Nice-to-have: CI/CD and version control, including Git or GitHub Actions

🏖️ Benefits

• Competitive compensation package based on 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 – Work-from-home opportunities are available, depending on role and business needs • On-Call Compensation – Additional pay for eligible on-call shifts