Tech Lead Data Science

Be a part of our mission! As a world leader in creating comfortable sustainable and efficient climate solutions for buildings homes and transportation its our responsibility to put the planet first. For us at Trane Technologies and through our businesses including TraneandThermo King sustainability is not just how we do businessit is our business. Do you dare to look at the worlds 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 whats possible for a sustainable world.

Learn about our benefits designed for you to Thrive at work and at home.

We boldly go.

Where is the work:

Thrive at work and at home:

• Inclusive Wellbeing Program with resources to support your and your familys physical social emotional and financial well-being.
• Comprehensive learning and development solutions designed to support our people in connecting and growingincluding 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 endtoend 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 welldesigned 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 longterm 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:

Bachelors or Masters degree in Computer Science Data Science Engineering or a related technical field; Masters degree in Data Science is preferable
912 years of experience in AI/ML development advanced analytics or datadriven 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.
Handson experience designing and deploying ML models into production environments at scale.
Strong understanding of GenAI techniques including LLMs embeddings vector databases and promptengineering 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 nontechnical audiences.
Strong stakeholder management and the ability to collaborate effectively across functions.
Strategic thinker with the ability to define longterm AI roadmaps while driving shortterm execution.
Strong problemsolving and decisionmaking capabilities especially in ambiguous or fastchanging 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.