Be a part of our mission! As a world leader in creating comfortable, sustainable, and efficient climate solutions for buildings, homes and transportation, it's our responsibility to put the planet first. For us at Trane Technologies (https://www.tranetechnologies.com/) , and through our businesses including Trane® (http://www.trane.com/index.html) and Thermo King (http://www.thermoking.com/na/en.html) , sustainability is not just how we do business-it is our business. Do you dare to look at the world's challenges and see impactful possibilities? Do you want to contribute to making a better future? If the answer is yes, we invite you to consider joining us in boldly challenging what's possible for a sustainable world. Learn about our benefits (http://careers.tranetechnologies.com/global/en/benefits) designed for you to Thrive at work and at home. We boldly go. **Where is the work:** Monday to Thursday, work onsite with your colleagues. Fridays, choose your work location, balancing what your work requires. **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. - Solid 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. - Solid 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. 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.

📌 Tech Lead - Data Science (Bengaluru)
🏢 Trane Technologies
📍 Bengaluru