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Senior AI & Data Engineer - Strategy & Operational Intelligence

PackageX· Engineering
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Islamabad, PKFull-timePosted 1w ago

About the role

Senior hands-on AI and data engineering role focused on strategy and operational intelligence. Own data products from raw data to production, uncover hidden patterns and anomalies, build ML/DL models, pipelines, and dashboards, and communicate insights to leadership and cross-functional teams.

Responsibilities

  • Roadmap and prioritisation for data science and ML work, based on business impact.
  • Problem definition, requirements, and success metrics for every data product you build.
  • Insight generation across operational, customer, and platform data.
  • Detection of fee anomalies, cost drivers, and cross-domain patterns that affect business decisions.
  • ML and deep learning models across NLP and predictive analytics, from design through deployment.
  • Frameworks and services for ML systems that are reproducible, performant, and production-ready.
  • ETL pipelines, data warehouses, and data models that power analytics at scale.
  • Data services exposed through RESTful APIs and deployed on AWS or GCP.
  • Analytics tools and dashboards used by leadership, operations, and partner teams.
  • Insight presentations and data narratives for technical and non-technical audiences.
  • Data quality, documentation, and engineering standards across your work.
  • Internal process improvements that automate manual data work and improve scalability.
  • Adoption and impact of your models and dashboards after launch, not just delivery.

Qualifications

  • 5+ years as a data scientist, ML engineer, or data engineer working on production-grade systems.
  • Expert-level Python (Pandas, NumPy) and SQL for data processing, analysis, and complex querying.
  • Hands-on experience with TensorFlow, Keras, and/or PyTorch.
  • Deep understanding of NLP and modern deep learning algorithms.
  • A track record of finding insights that changed a business decision, not only building models to spec.
  • Strong backend experience with Django and Flask, including building and integrating RESTful APIs.
  • Experience with data warehousing, ETL pipeline design, and data modelling across relational, NoSQL, and large-scale datasets.
  • Experience with GitHub, AWS, GCP, Docker, and CI/CD tooling.
  • Experience developing and integrating Tableau and/or Power BI, plus fluency with Matplotlib, Seaborn, and similar libraries.
  • Strong communication with business leaders, product teams, and operations.
  • Proactive and self-directed: you go looking for the question, not just the answer.
  • Comfortable creating structure in fast-moving, ambiguous environments.
  • Strong curiosity about logistics, supply chain, warehousing, and physical operations.

Skills

Required:PythonSQLTensorFlow / Keras / PyTorchNLPDjango / FlaskETL / Data WarehousingTableau / Power BIRESTful APIs
Last updated Oct 21, 2026. Interested? Apply on the company site.

About PackageX

Vision AI workflows. Logistics automated.

PackageX turns any camera into a vision AI agent that reads logistics documents, identifies inventory, and detects exceptions — built in hours, not months.

LogisticsAIVision AIWarehouseDistributionRetailCampuses
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