{"id":3236013,"url":"https://alion.io/job/trane-technologies-tech-lead-data-science","title":"Tech Lead - Data Science","company":{"id":1767961,"name":"Trane Technologies","domain":"tranetechnologies.com","url":"https://alion.io/company/tranetechnologies","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":75,"open_postings":115,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-28T05:59:10Z"}},"role":"Leadership","role_family":"Leadership","seniority":"lead","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":30000,"max_usd":79000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":35},"experience_years_min":9,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon SageMaker","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Computer Vision","optional":false},{"name":"Embeddings","optional":false},{"name":"Feature Store","optional":false},{"name":"Keras","optional":false},{"name":"Machine Learning","optional":false},{"name":"NLP","optional":false},{"name":"NumPy","optional":false},{"name":"Pandas","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Scikit-learn","optional":false},{"name":"SQL","optional":false},{"name":"TensorFlow","optional":false},{"name":"Vertex AI","optional":false}],"status":"live","first_seen_at":"2026-03-24T00:00:00Z","employer_posted_date":"2026-03-24","last_verified_at":"2026-10-28T10:05:45Z","board_verified":true,"closed_at":null,"days_open":218,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":218},"description":"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, and through our businesses including Trane® and Thermo King, 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.\nLearn about our benefits designed for you to Thrive at work and at home.\nWe boldly go.\nWhere is the work:\nMonday to Thursday, work onsite with your colleagues. Fridays, choose your work location, balancing what your work requires.Thrive at work and at home:\nInclusive Wellbeing Program, with resources to support your and your family’s physical, social, emotional, and financial well-being. \nComprehensive learning and development solutions, designed to support our people in connecting and growing, including Higher education/Certification reimbursement.\nSense of belonging & community through our Employee Resource Groups that foster our culture of inclusion.\nVolunteerism: 8 hours of paid time off per calendar year to volunteer with non-profit charitable organizations. \nThe Trane Technologies Helping Hands Fund to support employees facing financial challenges due to unforeseen personal hardship.\n\nWhere is the work:\nFrom Monday to Thursday, work onsite with your colleagues. On Fridays, choose your work location, balancing what your work requires.\nWhat you will do:\nIn this role you will:\nProvide technical leadership for the end-to-end development of AI/ML systems, from data ingestion and feature engineering to model deployment and monitoring.\nDefine the architectural direction for machine learning platforms, ensuring scalability, security, performance, and alignment with organizational standards.\nLead the evaluation, selection, and integration of AI technologies, frameworks, and tools, including GenAI solutions.\nCollaborate with product, and domain teams to translate business requirements into well-designed ML architectures and solution roadmaps.\nOversee ML model lifecycle management, including experimentation, versioning, CI/CD integration, and continuous improvement.\nMentor and guide data scientists, ML engineers, and analysts, fostering technical excellence and knowledge sharing.\nConduct reviews of ML pipelines, code, and solution designs to ensure quality, maintainability, and adherence to best practices.\nDrive the implementation of MLOps practices such as automated model training, deployment, monitoring, and retraining workflows.\nPartner with cross-functional teams to troubleshoot complex ML and data pipeline issues and develop long-term solutions.\nStay current with emerging trends in AI/ML and GenAI, advising on opportunities to adopt new techniques and accelerate innovation.\nEnsure data quality, governance, compliance, and responsible AI principles are integrated into all AI/ML initiatives.\nPromote continuous improvement and help establish best practices in AI architecture, experimentation, model evaluation, and documentation.\nWhat you will bring:\nBachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related technical field; Masters degree in Data Science is preferable\n9-12 years of experience in AI/ML development, advanced analytics, or data-driven software engineering.\nDeep expertise in machine learning algorithms, statistical modeling, neural networks, NLP, or computer vision.\nStrong proficiency in Python and experience with AI/ML libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, Keras etc.\nHands-on experience designing and deploying ML models into production environments at scale.\nStrong understanding of GenAI techniques, including LLMs, embeddings, vector databases, and prompt-engineering concepts.\nProficiency with SQL and experience working with large, complex datasets.\nExperience with cloud-based AI/ML platforms such as AWS SageMaker, Azure ML, or Google Vertex AI.\nFamiliarity with MLOps tools and practices including CI/CD, model registries, feature stores, and monitoring frameworks.\nStrong understanding of distributed computing, microservices, APIs, and data engineering concepts.\nKnowledge of ML security, governance, and responsible AI guidelines is a plus.\nSoft Skills:\nProven leadership abilities with experience mentoring and guiding technical teams.\nExcellent communication and storytelling skills for conveying complex AI concepts to technical and non-technical audiences.\nStrong stakeholder management and the ability to collaborate effectively across functions.\nStrategic thinker with the ability to define long-term AI roadmaps while driving short-term execution.\nStrong problem-solving and decision-making capabilities, especially in ambiguous or fast-changing environments.\nHighly organized with the ability to manage multiple projects and deliverables simultaneously.\nProactive, innovative mindset with a strong focus on quality, reliability, ethics, and continuous improvement.\nWe 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.","description_format":"text","description_chars":5616,"description_truncated":false,"requirements":{"experience_years_min":9,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Certification reimbursement"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Manufacturing","HVAC & Refrigeration"],"lifecycle":[{"event":"open","at":"2026-10-25T11:38:15Z"}],"visa":[],"liveness":{"score":5,"band":"cold","label":"Long shot","p_open":1,"p_active":0.19,"p_room":0.28,"age_days":218,"expected_fill_days":24,"reasons":["conf:1","stale_co","velocity","win:tail","crowd:brand"],"computed_at":"2026-10-28T05:59:10Z"},"pay":null,"html_url":"https://alion.io/job/trane-technologies-tech-lead-data-science","json_url":"https://alion.io/job/trane-technologies-tech-lead-data-science.json","meta":{"generated_at":"2026-10-28T11:27:06Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":14992,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-29T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":1767961},"rest":"https://alion.io/mcp/rest/get_company?id=1767961"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Ftrane-technologies-tech-lead-data-science"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Ftrane-technologies-tech-lead-data-science"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Ftrane-technologies-tech-lead-data-science"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/trane-technologies-tech-lead-data-science\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Ftrane-technologies-tech-lead-data-science"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3236013}},{"tool":"search_jobs","arguments":{"company":"tranetechnologies.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3236013},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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