Job Url: https://www.remoterocketship.com/company/eqt-2/jobs/ai-engineer-i-ii-iii-sr-expert-united-states-remote/ Job Description: EQT Corporation Website LinkedIn All Job Openings Leading natural gas producer in the United States. • Premier asset base in Appalachia EQT Corporation is America's only large-scale, vertically integrated natural gas producer focused on delivering affordable, reliable, and clean energy. The company aims to operate responsibly while achieving Net Zero emissions for Scope 1 and Scope 2 greenhouse gas emissions, demonstrating a strong commitment to environmental sustainability. EQT is dedicated to creating long-term value for its stakeholders, including employees, landowners, and investors, while continuously improving practices in natural gas production and community engagement. 501 - 1000 employees Founded 1888 ⚡ Energy 📋 Compliance AI Engineer – I/II/III/Sr./Expert 4 days ago 🏄 California – Remote 🦌 Connecticut – Remote +7 more states ⏰ Full Time 🟠 Senior 🤖 AI Engineer Azure Python Spark SQL Unity Apply Now Receive Emails with Similar Jobs Report problem 📋 Description • Design, build, and deploy AI/ML models end-to-end: from data exploration and feature engineering through training, evaluation, and productionization. • Operate models in production with observability for drift, bias, data quality, and service health; ensure reproducibility, versioning, and governance across data, code, models, and prompts. • Develop and maintain ML infrastructure (pipelines, jobs, orchestration, CI/CD) that scales with our needs. • Evaluate and tune algorithms for accuracy, efficiency, cost, and fairness. • Build generative AI and agent-based solutions (e.g., RAG pipelines, orchestration frameworks) that extend how our teams work and make decisions. • Leverage industry-standard AI tools and managed services when they improve speed, quality, or cost, while ensuring alignment with EQT’s architecture and security practices. • Partner across functions to shape requirements, SLAs, and success metrics; communicate outcomes in a way that drives understanding and adoption. • Stay current with advancements in AI/ML and bring forward ideas aligned with EQT’s architecture, strategy, and evolving business priorities. 🎯 Requirements • Bachelor’s degree in technical discipline (e.g., computer science, engineering, mathematics) or equivalent combination of education and experience. • Experience designing, building, and operating ML systems in production; strong Python and software engineering fundamentals (git, code reviews, testing, packaging). • Hands-on with Microsoft Azure and Databricks (notebooks/jobs, Delta Lake, Spark, Unity Catalog, MLflow/Model Registry, and model serving patterns). • Solid data engineering skills (advanced SQL, Spark optimization, data modeling, pipeline orchestration, and performance/cost tuning). • Applied machine learning expertise (feature engineering, supervised/unsupervised learning, rigorous evaluation, bias/fairness mitigation). • Experience building LLM/RAG and agentic applications (embeddings, vector indexes, prompt/policy design, evaluation harnesses). • MLOps competency (CI/CD for ML, containerization, secrets/config management, monitoring/alerting). • Strong communicator—able to translate technical details into business impact, document outcomes clearly (e.g., READMEs, technical specs, lightweight dashboards/notebooks), and collaborate effectively across technical and non-technical teams. 🏖️ Benefits • Remote work is being considered for this role excluding the following states: California, Connecticut, Delaware, Illinois, Indiana, Louisiana, Massachusetts, Michigan, New Jersey, New York, and Tennessee.