Tech Lead - Data Science

Trane Technologies
Bengaluru
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningExperience: 9-12 yearsEducation: mastersSkills: ["Leadership","Communication","Stakeholder management","Strategic thinking","Problem-solving"]

Provide technical leadership for end-to-end AI/ML development, from data ingestion and feature engineering through model deployment and monitoring. Define scalable, secure machine learning platform architecture and guide selection and integration of AI/GenAI tools. Own ML model lifecycle management and MLOps practices (CI/CD, versioning, registries, feature stores, retraining). Mentor technical teams, partner cross-functionally, and ensure data quality, governance, compliance, and responsible AI.

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Trane Technologies
Trane Technologies
1 month ago

Tech Lead - Data Science

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Last checked: 2 hours agoStatus: Live

Job Summary

Provide technical leadership for end-to-end AI/ML development, from data ingestion and feature engineering through model deployment and monitoring. Define scalable, secure machine learning platform architecture and guide selection and integration of AI/GenAI tools. Own ML model lifecycle management and MLOps practices (CI/CD, versioning, registries, feature stores, retraining). Mentor technical teams, partner cross-functionally, and ensure data quality, governance, compliance, and responsible AI.
Location: Bengaluru
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Sr. Manager level

Key Responsibilities

  • •Provide technical leadership for end-to-end AI/ML system development, including data ingestion, feature engineering, deployment, and monitoring.
  • •Define machine learning platform architectural direction to ensure scalability, security, performance, and alignment with standards.
  • •Lead evaluation, selection, and integration of AI technologies and frameworks, including GenAI solutions.
  • •Oversee ML model lifecycle management (experimentation, versioning, CI/CD integration, continuous improvement).
  • •Mentor and guide data scientists, ML engineers, and analysts; conduct reviews of pipelines/code/designs to maintain quality and best practices.

Pay and Benefits

Perks:Learning BudgetPaid Leave

Key Requirements

  • •Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or related field (Master’s in Data Science preferred).
  • •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 libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, and Keras.
  • •Experience designing and deploying ML models into production at scale, including hands-on GenAI (LLMs, embeddings, vector databases, prompt engineering).
Experience:9-12 years
Education:Master's in Data Science
Skills:LeadershipCommunicationStakeholder managementStrategic thinkingProblem-solving
Tech Stack:PythonPandasNumPyScikit-learnTensorFlowPyTorchKerasSQLAWS SageMakerAzure MLGoogle Vertex AIMLOpsCI/CDModel registriesFeature storesMonitoringVector databasesPrompt engineeringLLMsEmbeddings

Company Brief

Trane Technologies
Designs and manufactures HVAC and climate solutions for commercial, industrial, and residential buildings. Focuses on heating, cooling, ventilation, and building efficiency systems under brands like Trane and Thermo King.
Industry: Manufacturing
Company Size: Enterprise (1,001+ employees)
Revenue: USD 10B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Dublin, Ireland
Founded: 2013
WebsiteLinkedIn