At Trane Technologies TM and through our businesses including Trane ® and Thermo King ® , we create innovative climate solutions for buildings, homes, and transportation that challenge what’s possible for a sustainable world. We're a team that dares to look at the world's challenges and see impactful possibilities. We believe in a better future when we uplift others and enable our people to thrive at work and at home. We boldly go. **What’s in it for you:** **Thrive at work and at home:** + Inclusive Wellbeing Program, with resources to support your and your family’s physical, social, emotional, and financial well-being. + Comprehensive learning and development solutions, designed to support our people in connecting and growing, including Higher education/Certification reimbursement. + Sense of belonging & community through our Employee Resource Groups that foster our culture of inclusion. + Volunteerism: 8 hours of paid time off per calendar year to volunteer with non-profit charitable organizations. + The Trane Technologies Helping Hands Fund to support employees facing financial challenges due to unforeseen personal hardship. **Where is the work:** + From Monday to Thursday, work onsite with your colleagues. On Fridays, choose your work location, balancing what your work requires. **What you will do:** In this role you will: • Provide technical leadership for the end‑to‑end development of AI/ML systems, from data ingestion and feature engineering to model deployment and monitoring. • Define the architectural direction for machine learning platforms, ensuring scalability, security, performance, and alignment with organizational standards. • Lead the evaluation, selection, and integration of AI technologies, frameworks, and tools, including GenAI solutions. • Collaborate with product, and domain teams to translate business requirements into well‑designed ML architectures and solution roadmaps. • Oversee ML model lifecycle management, including experimentation, versioning, CI/CD integration, and continuous improvement. • Mentor and guide data scientists, ML engineers, and analysts, fostering technical excellence and knowledge sharing. • Conduct reviews of ML pipelines, code, and solution designs to ensure quality, maintainability, and adherence to best practices. • Drive the implementation of MLOps practices such as automated model training, deployment, monitoring, and retraining workflows. • Partner with cross-functional teams to troubleshoot complex ML and data pipeline issues and develop long‑term solutions. • Stay current with emerging trends in AI/ML and GenAI, advising on opportunities to adopt new techniques and accelerate innovation. • Ensure data quality, governance, compliance, and responsible AI principles are integrated into all AI/ML initiatives. • Promote continuous improvement and help establish best practices in AI architecture, experimentation, model evaluation, and documentation. **What you will bring:** • Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related technical field; Masters degree in Data Science is preferable • 9–12 years of experience in AI/ML development, advanced analytics, or data‑driven software engineering. • Deep expertise in machine learning algorithms, statistical modeling, neural networks, NLP, or computer vision. • Strong proficiency in Python and experience with AI/ML libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, Keras etc. • Hands‑on experience designing and deploying ML models into production environments at scale. • Strong understanding of GenAI techniques, including LLMs, embeddings, vector databases, and prompt‑engineering concepts. • Proficiency with SQL and experience working with large, complex datasets. • Experience with cloud-based AI/ML platforms such as AWS SageMaker, Azure ML, or Google Vertex AI. • Familiarity with MLOps tools and practices including CI/CD, model registries, feature stores, and monitoring frameworks. • Strong understanding of distributed computing, microservices, APIs, and data engineering concepts. • Knowledge of ML security, governance, and responsible AI guidelines is a plus. Soft Skills: • Proven leadership abilities with experience mentoring and guiding technical teams. • Excellent communication and storytelling skills for conveying complex AI concepts to technical and non‑technical audiences. • Strong stakeholder management and the ability to collaborate effectively across functions. • Strategic thinker with the ability to define long‑term AI roadmaps while driving short‑term execution. • Strong problem‑solving and decision‑making capabilities, especially in ambiguous or fast‑changing environments. • Highly organized with the ability to manage multiple projects and deliverables simultaneously. • Proactive, innovative mindset with a strong focus on quality, reliability, ethics, and continuous improvement. **Career Break:** + We have a Relaunch Program for professionals looking to restart their careers after a break. If you come with a career break of at least 12 months and match the work experience requirements mentioned, you are welcome to apply. **Equal Employment Opportunity:** We offer competitive compensation and comprehensive benefits and programs. We are an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, pregnancy, age, marital status, disability, status as a protected veteran, or any legally protected status.