Senior AI & Data Engineer: Operational Intelligence & Strategy

PackageX, Inc.; Islamabad; On-site; PKR 3,500,000 - 5,200,000; Full time

Job summary

PackageX is seeking a Senior AI & Data Engineer who will transform raw data into strategic insights, building ML models and data pipelines across warehouse, Ops, and platform data. You’ll own end-to-end data products with production-grade deployment and clear business impact.

You’ll bridge data science and engineering, define success, and deliver dashboards and APIs for leadership and operations, enabling data-driven decisions at scale.

Qualifications

• 5+ years as a data scientist, ML engineer, or data engineer with production systems.
• Expert Python (Pandas, NumPy) and SQL for data processing and querying.
• Hands-on TensorFlow, Keras, and/or PyTorch experience.
• Deep NLP knowledge and modern deep learning algorithms, with a track record of insights.
• Backend experience with Django/Flask and building RESTful APIs.

Responsibilities

• Translate business problems into scoped data products with clear users and success metrics.
• Own and prioritise DS backlog with stakeholders and decide what to build.
• Mine large datasets to uncover patterns, anomalies, and cross-domain correlations.
• Surface insights to leadership, operations, and partner teams before questions arise.
• Design, train, and deploy ML/DL models for NLP and predictive analytics.
• Architect and maintain ETL pipelines, data warehouses, and data models.
• Build analytics tools and dashboards in Tableau/Power BI that drive action.
• Expose data services via RESTful APIs using Django/Flask on AWS or GCP.
• Work with SQL Server, MongoDB, and enterprise-scale datasets.
• Follow CI/CD, testing, and documentation standards; ensure adoption and impact.

Skills

Python (Pandas, NumPy)

SQL

TensorFlow / PyTorch / Keras

NLP / Deep Learning

Django / Flask

RESTful APIs

Tableau / Power BI

Job description

PackageX is seeking a Senior AI & Data Engineer who will transform raw data into strategic insights, building ML models and data pipelines across warehouse, Ops, and platform data. You’ll own end-to-end data products with production-grade deployment and clear business impact.

You’ll bridge data science and engineering, define success, and deliver dashboards and APIs for leadership and operations, enabling data-driven decisions at scale.