13232BRJob Description:The ideal candidate will be responsible for building and managing CI/CD pipelines for machine learning models using platforms such as Databricks and Azure ML. This role involves automating retraining, validation, and telemetry processes, collaborating with data modelers to ensure AI data pipeline readiness, and improving IT operations through automation. The AI Ops Engineer will also manage AI and infrastructure project timelines, risks, and coordination, act as a liaison between technical teams, business stakeholders, and data modelers, and track deliverables and KPIs to support agile execution. Gathering user feedback and requirements to guide feature development is also a key aspect of this role. Key Responsibilities: + Build and manage CI/CD pipelines for machine learning models using Databricks and Azure ML. + Automate processes for retraining, validation, and telemetry of ML models. + Collaborate with data modelers to ensure AI data pipeline readiness. + Automate and improve IT operations, including incident detection, root cause analysis, event correlation, and predictive alerting. + Manage project timelines, risks, and coordination for AI and infrastructure projects. + Act as a liaison between technical teams, business stakeholders, and data modelers to ensure seamless communication and collaboration. + Track deliverables, key performance indicators (KPIs), and support agile execution. + Gather user feedback and requirements to guide the development of new features. Qualifications: + Proven experience in building and managing CI/CD pipelines for machine learning models. + Strong knowledge of Databricks, Azure ML, and other relevant platforms. + Experience in automating retraining, validation, and telemetry processes. + Proficiency in collaborating with data modelers and ensuring AI data pipeline readiness. + Expertise in automating IT operations, including incident detection, root cause analysis, event correlation, and predictive alerting. + Excellent project management skills, with the ability to manage timelines, risks, and coordination. + Strong communication skills to effectively liaise between technical teams, business stakeholders, and data modelers. + Ability to track deliverables, KPIs, and support agile execution. + Experience in gathering user feedback and requirements to guide feature development. + Preferred Skills: + Familiarity with additional AI and machine learning frameworks and tools. + Knowledge of data engineering and data science best practices. + Ability to stay updated with the latest advancements in AI and machine learning technologies. Education: + Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. Auto req ID:13232BRCompany:Big River Steel LLCPosting Title:AI Ops EngineerWork Location - City:Osceola Company Overview: Since 1901, U. S. Steel has been a recognized leader in steel production. Today, as the first North American steel company to have declared a 2050 net-zero greenhouse gas emissions goal, we remain as innovative as ever, leading transformation across our industry while continuing to make products for everyday life - from industries as far ranging as automotive, construction, containers and packaging, appliances, and energy. Underneath it all is our Culture of Caring, which shows up in our community partnerships, charitable contributions, company-sponsored employee volunteer initiatives, scholarship programs, leadership training, and much more. And of course, it takes shape in a steadfast commitment to safety first in our workplaces and respect for our employees, who are United by Steel. We are honored to have earned accolades and awards from well-regarded organizations, including the following: + Ethisphere’s World’s Most Ethical Companies® 2022, ’23, ‘24 + Disability: IN’s Best Places to Work for Disability Inclusion 2021, ’22, ’23, ‘24 + Human Rights Campaign Foundation’s Equality 100 Award 2020, ’21, ’22, ’23-24, ‘25 + Military Times’ Best for Vets: Employers 2023, ‘24 Conducting business with integrity and with the highest ethical values has underpinned U. S. Steel’s success for over 100 years, and it remains critical to our company’s success in the future. U. S. Steel is an Equal Opportunity Employer. It is our policy to provide equal employment opportunity (EEO) according to job qualifications without discrimination on the basis of race, color, religion, ancestry, national origin, age, genetics, sexual orientation, sex, gender identity, disability status or status as a protected Veteran or any other legally protected group status. (California residents may visit www.ussteel.com/CANotice regarding collection of personal information and U. S. Steel's privacy practices.) Competency Summary: At U. S. Steel all employees are expected to display the following core competencies every day to advance corporate, team and individual goals: Think: Think Critically and Drive Change Lead: Develop Talent and Collaborate Do: Empower Performance and Deliver Results