Site Bangalore, Karnātaka, Inde Catégorie Ingénierie Id du poste 92600761 Corporate

Participez à notre mission ! En tant que leader mondial dans la création de solutions climatiques confortables, durables et efficaces pour les bâtiments, les habitations et les transports, il est de notre responsabilité de placer la planète au premier plan. Pour nous, chezTrane Technologies, et à travers nos activités, y comprisTrane®etThermo KingLa durabilité n’est pas simplement une façon de faire des affaires—c’est au cœur de notre activité. Osez-vous regarder les défis mondiaux et y voir des opportunités porteuses d’impact ? Souhaitez-vous contribuer à bâtir un avenir meilleur ? Si la réponse est oui, nous vous invitons à envisager de nous rejoindre pour repousser les limites du possible en faveur d’un monde durable.

Découvrez nosavantagesconçu pour vous permettre de vous épanouir au travail comme à la maison.

Nous avançons avec audace.

Où se trouve le travail :

Du lundi au jeudi, travaillez sur site avec vos collègues. Le vendredi, choisissez votre lieu de travail, en tenant compte des exigences de votre activité.

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.
- 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.

Nous offrons une rémunération compétitive ainsi que des avantages et des programmes complets. Nous sommes un employeur garantissant l’égalité des chances ; tous les candidats qualifiés seront considérés pour un emploi sans distinction de race, de couleur, de religion, de sexe, d’orientation sexuelle, d’identité de genre, d’origine nationale, de grossesse, d’âge, de statut marital, de handicap, de statut de vétéran protégé ou de tout autre statut protégé par la loi.

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