Senior Director, Data Management

Mobileum is a leading provider of Telecom analytics solutions for roaming, core network, security, risk management, domestic and international connectivity testing, and customer intelligence. More than 1,000 customers rely on its Active Intelligence platform, which provides advanced analytics solutions, allowing customers to connect deep network and operational intelligence with real-time actions that increase revenue, improve customer experience, and reduce costs. Headquartered in Silicon Valley, Mobileum has global offices in Australia, Dubai, Germany, Greece, India, Portugal, Singapore and UK with global HC of over 1800+. Role: Senior Director — AI/ML & GenAI We are building a high‑impact engineering team to deliver AI/ML and Generative AI capabilities for telecom‑grade platforms (roaming, security, analytics, customer experience). Director will lead engineering strategy, architecture, and delivery for GenAI services and platform components. This role blends hands‑on technical depth with strategic leadership across model training, serving, evaluation, infrastructure, and security—customized for the demands of telecom data and performance. Define the engineering roadmap for GenAI platform capabilities—training pipelines, inference layers, and domain‑specific services. SLOs, quality metrics, performance KPIs) and drive alignment across engineering and product. GenAI Model Lifecycle Management LLM Workflows: Oversee pretraining, fine‑tuning (SFT), LoRA/PEFT adaptation, and deployment of domain‑specific LLMs. Build safety filters, hallucination checks, and prompt validation to ensure GenAI output quality and reliability. AI Infrastructure & MLOps Pipelines: Lead model CI/CD, reproducible pipelines, deployment frameworks, and GPU capacity planning. Partner with SREs to establish observability standards and incident‑handling protocols for AI/LLM systems. Platform & Data Architecture Architect scalable services supporting vector search, retrieval‑augmented generation (RAG), embedding storage, and model evaluation. Telco Data: Lead ingestion and integration strategies for telecom‑centric data (CDRs, logs, network KPIs). Release Management & Quality Assurance Validation: Own model validation strategy—unit/perf tests, dataset quality checks, drift detection, and safety evaluations. Privacy, Compliance & Responsible AI Controls: Enforce data minimization, encryption, access controls, and alignment with GDPR/DPDP via engineering practices. Responsible AI: Guide auditability and transparency in the platform architecture. Team Building & Technical Leadership Hiring: Recruit and develop AI/ML engineers, MLOps specialists, and platform architects. Foster performance engineering, clean architecture, and collaboration. Telecom domain exposure (xDRs, OSS/BSS, network analytics, firewall/security). Experience with streaming/OLAP systems (Kafka, ClickHouse) and vector DBs (pgvector, FAISS). Strong grasp of model evaluation, prompt testing, and inference efficiency techniques. AI Systems Architecture: End‑to‑end design of scalable, performant GenAI systems. Operational Readiness: SLO compliance, uptime, monitoring, and incident response. Hands‑on Technical Leadership: Deep reviews, mentoring, and a high quality bar. LLM/GenAI: PyTorch, HuggingFace, Transformers, LoRA/PEFT Data: Kafka, ClickHouse, pgvector, Spark/Flink Kubernetes, OpenShift, Prometheus, etc. Work Experience: 12+ years in software/AI engineering; 5+ years leading ML/GenAI engineering teams. D. in CS/EE/Math (or related discipline) with strong grounding in ML, GenAI, and distributed systems.