Be a part of our mission! As a world leader in creating comfortable, sustainable, and effective 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. **Job Title:** Associate Tech Lead - Data Science **Job Summary:** We are seeking a highly skilled Associate Tech Lead specialized in AI/ML to guide the design, development, and deployment of advanced analytical and machine learning solutions. The ideal candidate brings 8-10 years of experience, deep technical expertise across AI/ML systems, and a demonstrated ability to execute high-impact initiatives from concept to production. This role requires a combination of strong hands-on technical expertise, and the ability to collaborate across engineering, product, data, and business teams to deliver scalable, innovative AI solutions that drive measurable business value. **Responsibilities:** + Execute and own end-to-end development of AI/ML systems, from data ingestion and feature engineering to model deployment and monitoring. + Provide inputs for the architectural direction of 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. **Technical Skills:** + Bachelor's or master's degree in computer science, Data Science, Engineering, or a related technical field; master's degree in data science is preferable + 8-10 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:** + Demonstrated ability in mentoring and guiding the 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.

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