Director of Personalization Engineering
MakeMyTripBengaluru, Republic Of India, IN22 hours ago
Job descriptionStrategy & Roadmap : Drive 12–18 months personalization roadmap aligned to KPIs (growth, conversion, retention, experience). Platforms, Not Projects : Build reusable ranking / reco / decisioning platforms (feature / embedding store, real-time signals, policy / constraints, evaluation). ML in Production : Lead model lifecycle (user modeling, content understanding, candidate generation, re-ranking, optimization, bandits / RL) with clear SLOs. Experimentation & Causality : Scale A / B and bandit experimentation; Privacy-First Personalization : Embed consent, PII handling, and privacy-by-design in data contracts; Agentic & Real-Time Experiences : Integrate with ContextOS and Myra for explainable, grounded, actionable recommendations across channels. People & Org : Lead a 25–40 members team across Backend / Platform engineers, MLEs, DS / Applied Scientists, and Program; Partnering & Influence : Collaborate with Product, Design, Marketing, Supply, Finance, and Legal; Observability & Evals : Establish evaluation frameworks and operational excellence (SRE, On-call, RCA). Cost & Reliability : Own budgets, infra choices, and efficiency (GPU / CPU mix, caching, quantization, distillation). 15+ years in consumer tech / platforms with 7+ years leading cross-functional Eng + DS / MLE teams. Delivered production ML (recommendations / ranking / search / ads / feeds) for millions of users with measurable uplift and strong SLOs. Built / owned feature & embedding stores, online feature serving, streaming pipelines, and A / B platforms. Deep hands-on expertise in large-scale backend (Java / Scala / Go) or applied ML (Python, PyTorch / TensorFlow) with architectural leadership. Experience with real-time systems (Kafka / PubSub, Flink / Spark Streaming), datastores (Redis, Cassandra / DynamoDB, Elasticsearch), MLOps (MLflow / Kube / Triton / Ray), and cloud (AWS / Azure / GCP). Proven implementation of privacy-by-design, data contracts, and governance in production pipelines. Strong product sense and storytelling; Experience with multi-objective optimization, constrained ranking, or contextual bandits / RL. Familiarity with knowledge graphs / ontologies, retrieval / RAG, agentic workflows, LangGraph / LangChain, and LLM / agent evaluation frameworks. Experience in Indian consumer internet scale, marketplaces, or travel.
Job Title : Director — Technology Development (Personalization)
Location : Bengaluru
Experience : 15+ Years
Function : Data Platform & Personalization
Why This Role
- Reimagine travel personalization at platform scale across Flights, Hotels, Holidays, Trains, and Activities.
- Own end-to-end personalization charter : engineering, data science, MLOps, and experimentation.
- Collaborate with ContextOS, Myra, and Experience Hub under the “One Brain, Many Adapters” vision.
What You’ll Own
ensure robust guardrails and uplift measurement.
ensure regulatory compliance.
hire, coach, and build succession.
manage vendors / partners.
What You’ve Done
ability to align executives and mentor senior ICs and managers.
Nice to Have
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Director Of Engineering • Bengaluru, Republic Of India, IN
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