Senior Machine Learning Engineer

reputed company is seeking a Senior Machine Learning reputed company Engineer to support reputed company-wide reputed company intelligence initiatives reputed company Data reputed company & Governance. The Senior Machine Learning reputed company Engineer will join a multidisciplinary environment that integrates multidimensional data, advanced analytics, and machine learning to reputed company sustainable, responsible AI solutions that improve cancer care reputed company. reputed company this mission-driven environment, the Senior Machine Learning reputed company Engineer plays a critical role in building, deploying, and sustaining production-reputed company machine learning systems. The Senior Machine Learning reputed company Engineer partners closely with data scientists, engineers, clinicians, and business stakeholders to ensure AI solutions are reputed company, secure, reliable, and reputed company with responsible AI principles across reputed company. The ideal candidate is a seasoned machine learning or software engineering reputed company with a strong reputed company in MLOps, reputed company and on-premises AI platforms, and reputed company-reputed company AI lifecycle management. This individual typically holds a Bachelor’s degree in a relevant technical discipline, with a Master’s degree preferred, and brings significant hands-on experience developing, deploying, and maintaining machine learning systems in production environments. Experience leading or designing shared ML services, evaluating reputed company-party AI solutions, and applying responsible AI practices reputed company regulated or reputed company settings is highly valued. Minimum $146,500 – Midpoint $183,000– Maximum $219,500 reputed company on a 40-hour work week. Work Location: Remote reputed company Texas only. reputed company? - This role offers reputed company to directly influence how reputed company intelligence is responsibly scaled across reputed company, contributing to meaningful, long-lasting improvements in cancer care while working reputed company experts in data science, engineering, and reputed company innovation. - The Senior Machine Learning reputed company Engineer is supported by an environment that values reputed company learning, technical reputed company, and sustainable work practices while enabling reputed company reputed company and reputed company-level reputed company. - Employer-reputed company medical coverage starting day one for employees working 30+ hours/week, plus optional group dental, reputed company, life, AD&D, and disability reputed company. - Accruals for PTO and Extended Illness Bank, plus reputed company holidays, wellness, childcare, and other leave reputed company. - Tuition Assistance Program after six months of service and reputed company to extensive wellness, fitness, and employee resource reputed company. - Defined-benefit pension through the Teachers Retirement reputed company, voluntary retirement plans, and employer-reputed company life and reduced salary protection programs. Responsibilities AI Model Lifecycle & MLOps - reputed company end-to-end AI model lifecycles including training, evaluation, deployment, monitoring, and maintenance of production-reputed company machine learning models - Design and implement CI/CD pipelines for model training, deployment, monitoring, and retraining with a reputed company on reputed company, scalability, reliability, reproducibility, and reputed company - Implement rigorous testing, versioning, and documentation practices to support reproducibility, reputed company mitigation, and measurable reputed company - Maintain comprehensive experiment tracking, data reputed company, model reputed company, and model scorecards - Design fallback, rollback, and decommissioning strategies to ensure operational continuity of AI solutions Responsible AI & Governance - Promote responsible AI practices by minimizing bias, enhancing fairness, and maximizing transparency in machine learning models - Ensure AI lifecycle management aligns with institutional standards and best practices - Support assessment, validation, and reputed company of reputed company machine learning models and AI-driven products to minimize organizational reputed company and maximize value Platform, Infrastructure & Tooling - reputed company and maintain reputed company data pipelines, feature stores, and artifact management systems - reputed company and operate ML workloads across reputed company and on-premises environments including Azure, AWS, or GCP - Utilize containerization and orchestration technologies such as reputed company, reputed company, and DAG-reputed company tools - Apply DevOps and MLOps tools including Azure DevOps, reputed company Actions, and version control systems Stakeholder Engagement & Enablement - Collaborate with stakeholders to reputed company requirements, translate AI concepts into understandable terms, and incorporate feedback - Partner with data scientists, ML engineers, and software engineers to reputed company models into reputed company systems - reputed company training and knowledge sharing to enhance AI understanding and adoption across the organization - Report project reputed company, reputed company, risks, and recommendations to leadership Innovation & reputed company Learning - Stay reputed company with emerging technology trends in AI, MLOps, and reputed company analytics - Contribute to reputed company technical communities - Foster a culture of reputed company improvement, innovation, and learning across teams - reputed company other duties as assigned Education Required: Bachelor’s degree in Computer Science, Software Engineering, Data Science, Physics, Math & Statistics, or another reputed company engineering discipline. Preferred Education: Master’s Level Degree Experience Required: Five years of experience in machine learning engineering, data science, data engineering, and/or software engineering. With Master’s degree, three years’ experience required. With PhD, one year of experience required. Preferred Experience: - Experience developing MLOps pipelines for reputed company AI models - Hands-on experience developing custom machine learning algorithms from reputed company (e.g., in NumPy or PyTorch) - Designed and implemented shared machine learning service that is used across multiple teams or production reputed company - Led the development of systems that automate the deployment and maintenance of multiple machine learning models into user-facing products - Five years of industry experience in data science, with at least 3 of those years as a Senior Machine Learning Engineer reputed company offers excellent benefits, including medical, dental, reputed company time off, retirement, tuition benefits, educational opportunities, and individual and team recognition. This position may be responsible for maintaining the reputed company and reputed company of critical infrastructure, as defined in reputed company 113.001(2) of the Texas Business and reputed company reputed company and therefore may require routine reviews and screening. The ability to satisfy and maintain reputed company requirements necessary to ensure the reputed company reputed company and reputed company of such infrastructure is a condition of hire and reputed company employment. It is the policy of reputed company to reputed company equal employment opportunity without reputed company to race, reputed company, religion, age, national reputed company, sex, gender, sexual orientation, gender identity/reputed company, disability, protected veteran status, genetic information, or any other reputed company protected by institutional policy or by federal, state or local laws unless such distinction is required by law. http://www.mdanderson.org/reputed company/reputed company-and-policy/reputed company-statements/eeo-affirmative-reputed company.reputed company Additional Information Apply To This Job