Senior Director — AI/ML & GenAI

About Us:

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. Know our story:

Headquartered in Silicon Valley, Mobileum has global offices in Australia, Dubai, Germany, Greece, India, Portugal, Singapore and UK with global HC of over 1800+.

Join Mobileum Team

At Mobileum we recognize that our team is the main reason for our success. What does work with us mean? Opportunities!

Role: Senior Director AI/ML & GenAI

About the Job:

We are building a highimpact engineering team to deliver AI/ML and Generative AI capabilities for telecomgrade platforms (roaming, security, analytics, customer experience). The Sr. Director will lead engineering strategy, architecture, and delivery for GenAI services and platform components. This role blends handson technical depth with strategic leadership across model training, serving, evaluation, infrastructure, and securitycustomized for the demands of telecom data and performance.

Roles & Responsibility: -

Engineering Strategy & Technical Vision

• Roadmap: Define the engineering roadmap for GenAI platform capabilitiestraining pipelines, inference layers, and domainspecific services.
• Goals: Establish clear nonfunctional goals (e.g., SLOs, quality metrics, performance KPIs) and drive alignment across engineering and product.

GenAI Model Lifecycle Management

• LLM Workflows: Oversee pretraining, finetuning (SFT), LoRA/PEFT adaptation, and deployment of domainspecific LLMs.
• Guardrails: 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.
• Reliability: Partner with SREs to establish observability standards and incidenthandling protocols for AI/LLM systems.

Platform & Data Architecture

• Services: Architect scalable services supporting vector search, retrievalaugmented generation (RAG), embedding storage, and model evaluation.
• Telco Data: Lead ingestion and integration strategies for telecomcentric data (CDRs, logs, network KPIs).

Release Management & Quality Assurance

• Validation: Own model validation strategyunit/perf tests, dataset quality checks, drift detection, and safety evaluations.
• QE Partnership: Collaborate with QE for automation and prerelease validations.

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.
• Culture: Foster performance engineering, clean architecture, and collaboration.

Crossfunctional Execution

• Partnerships: Interface with Product, Security, Platform, and QE teams to ensure scalable, reliable GenAI delivery.
• Ownership: Maintain architectural and codelevel ownership while influencing crossorg execution.

Desired Profile: -

• 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.

Technical skills:

• AI Systems Architecture: Endtoend design of scalable, performant GenAI systems.
• Operational Readiness: SLO compliance, uptime, monitoring, and incident response.
• Handson Technical Leadership: Deep reviews, mentoring, and a high quality bar.
• Execution Focus: Outcome ownership and iterative delivery of engineering plans.
• Strategic Vision: Prioritize investments and platform evolution roadmap.

Tech Stack Overview

• LLM/GenAI: PyTorch, HuggingFace, Transformers, LoRA/PEFT
• Serving: vLLM, Triton, KServe, REST/gRPC
• Data: Kafka, ClickHouse, pgvector, Spark/Flink
• MLOps: MLflow, GitHub Actions, Argo, Helm
• Infra & Security: Kubernetes, OpenShift, Prometheus, etc.

Work Experience:

12+ years in software/AI engineering; 5+ years leading ML/GenAI engineering teams.

Educational Qualification:

Masters/Ph.D. in CS/EE/Math (or related discipline) with strong grounding in ML, GenAI, and distributed systems.

Location: Bangalore