AI/ML Lead — Build & Scale Production Models

Amex Hub; Islamabad; Sur place; PKR 6 000 000 - 10 000 000; Plein temps

Résumé du poste

Amex Hub leads innovative AI/ML initiatives across production systems in Islamabad. The role demands end-to-end ownership from identifying opportunities to deployment and scaling, with a strong emphasis on designing LLM/NLP systems and robust MLOps.

You will mentor engineers, set architectural standards, and drive cost-efficient, low-latency solutions while collaborating with product and leadership to deliver measurable business value.

Qualifications

• 6+ years building and shipping AI systems in industry.
• Track record of 3–5 substantial AI/ML production projects.
• Deep Python experience with PyTorch or TensorFlow, plus SciKit-Learn, NumPy and Pandas.
• Strong knowledge of LLM/NLP systems, prompts, tool-calling and model selection.
• Design and evaluate RAG systems with embeddings and vector stores.
• Experience with MLOps, CI/CD, monitoring, and Docker; cloud GPU infra.
• SQL and Linux/Bash proficiency; strong product and business sense.
• Experience mentoring engineers and leading AI/ML teams.

Responsabilités

• Own AI/ML initiatives end-to-end from ideation to production.
• Decide on model selection, architecture, and deployment trade-offs.
• Lead design of LLM/NLP systems, RAG pipelines and vector stores.
• Define evaluation strategies, benchmarks, and guardrails.
• Drive fine-tuning vs prompting decisions and lead tuning efforts.
• Own deployment/inference architecture optimizing latency and cost.
• Set standards for code quality, MLOps, monitoring, and experiments.
• Mentor engineers and review designs and code.

Connaissances

Leadership

Production AI/ML

Python

ML fundamentals

LLM systems

MLOps

AWS/GCP/Azure

SQL

Linux/Bash

Product & business sense

Mentoring

Communication

Outils

PyTorch

TensorFlow

Scikit-learn

NumPy

Pandas

LLM tooling

RAG pipelines

Pinecone/FAISS/Weaviate

Docker

Kubernetes

MLflow

Description du poste

Amex Hub leads innovative AI/ML initiatives across production systems in Islamabad. The role demands end-to-end ownership from identifying opportunities to deployment and scaling, with a strong emphasis on designing LLM/NLP systems and robust MLOps.

You will mentor engineers, set architectural standards, and drive cost-efficient, low-latency solutions while collaborating with product and leadership to deliver measurable business value.