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Senior Director - Artificial Intelligence/Machine Learning
Senior Director - Artificial Intelligence/Machine LearningWinfort • Bangalore
Senior Director - Artificial Intelligence / Machine Learning

Senior Director - Artificial Intelligence / Machine Learning

Winfort • Bangalore
9 days ago
Job description

We are a leading provider of telecom analytics solutions

Role : Senior Director - AI / ML & GenAI\

About the Job :

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). The Sr. 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.

Roles & Responsibility :

1. Engineering Strategy & Technical Vision :

  • Roadmap : Define the engineering roadmap for GenAI platform capabilities-training pipelines, inference layers, and domain-specific services.
  • Goals : Establish clear non-functional goals (e.g., SLOs, quality metrics, performance KPIs) and drive alignment across engineering and product.

2. GenAI Model Lifecycle Management :

  • LLM Workflows : Oversee pretraining, fine-tuning (SFT), LoRA / PEFT adaptation, and deployment of domain-specific LLMs.
  • Guardrails : Build safety filters, hallucination checks, and prompt validation to ensure GenAI output quality and reliability.
  • 3. 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 incident-handling protocols for AI / LLM systems.
  • 4. Platform & Data Architecture :

  • Services : 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).
  • 5. Release Management & Quality Assurance :

  • Validation : Own model validation strategy-unit / perf tests, dataset quality checks, drift detection, and safety evaluations.
  • QE Partnership : Collaborate with QE for automation and pre-release validations.
  • 6. 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.
  • 7. Team Building & Technical Leadership :

  • Hiring : Recruit and develop AI / ML engineers, MLOps specialists, and platform architects.
  • Culture : Foster performance engineering, clean architecture, and collaboration.
  • 8. Cross-functional Execution

  • Partnerships : Interface with Product, Security, Platform, and QE teams to ensure scalable, reliable GenAI delivery.
  • Ownership : Maintain architectural and code-level ownership while influencing cross-org 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 : 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.
  • 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 :

  • Master's / Ph.D. in CS / EE / Math (or related discipline) with strong grounding in ML, GenAI, and distributed systems.
  • Location : Bangalore

    (ref : hirist.tech)

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