Data Science ML/Gen AI Engineer (Mid-Level)- Orbit

About Irth Solutions Irth Solutions is a leading provider of cloud-based SaaS software for damage prevention, asset integrity, stakeholder engagement and land management, helping energy, utility, telecom, and infrastructure companies protect their critical network infrastructure. With nearly three decades of industry experience, Irth serves customers across North America and continues to expand its platform with new data-driven and AI-powered capabilities. ML/GenAI Engineer – Insights (AI/ML) Location: Remote – India Department: Insights (AI/ML) Reports to: Data Platform & Analytics Manager About the Role Irth is building a unified and governed Databricks Lakehouse to power cross-product insights and customer-facing data products. We are looking for a hands-on ML/GenAI Engineer who can contribute across the data and ML lifecycle—from establishing reliable, governed data foundations to rapidly prototyping and productionizing machine learning and GenAI solutions. You will work closely with data, platform, product, and domain teams to turn data into measurable customer value across Irth’s key industries: Damage Prevention Asset Integrity Land Management Stakeholder Engagement The ideal candidate is comfortable working across data engineering, machine learning, GenAI, MLOps, governance, and cloud platforms , with a strong focus on production reliability and business outcomes. Key Responsibilities 1. Build and Strengthen Lakehouse Foundations Contribute to medallion architecture pipelines (Bronze → Silver → Gold) using Databricks. Implement data quality checks, validation gates, and data contracts at ingestion. Support column-level lineage and governance initiatives, targeting at least 95% lineage coverage . Help implement policy-as-code for regional data residency and sensitive-data handling. Ensure appropriate PII masking, obfuscation, and access controls across Silver and Gold data layers. Collaborate with data engineering and governance teams to improve data reliability, discoverability, and documentation. 2. Develop and Productionize ML & GenAI Solutions Explore, prototype, evaluate, and productionize machine learning and GenAI solutions. Work on use cases including: Forecasting Anomaly detection NLP Retrieval-Augmented Generation (RAG) LLM-powered assistants and copilots Predictive analytics Develop solutions that address measurable customer and business problems across Irth’s industry verticals. Package and manage models using Unity Catalog model management/registries . Design and implement batch and streaming inference architectures where appropriate. Partner with Product and business stakeholders to define success metrics, KPIs, and A/B testing strategies. Move successful experiments from prototype to production with clearly defined SLAs, monitoring, documentation, and operational runbooks. 3. Engineer for Reliability, Scalability & Cost Build production workflows, jobs, and notebooks as…