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Lead the design and deployment of AI-driven time-series forecasting models for financial risk, FX exposure, and treasury planning using Python, ARIMA, XGBoost, and Prophet.
Principal Data Scientist at i2c Inc leading fraud detection and AI systems, including transaction fraud, RAG chatbots, and agentic digital-CSR, while managing a team of ~20 data scientists.
Builds, deploys, and optimizes AI/ML models and pipelines for enterprise products, integrating GenAI, NLP, and predictive analytics into scalable systems.
Own AI-powered features for Pakistan’s largest auto marketplace, from discovery to launch, using LLMs and agentic workflows to automate buying/selling tasks and improve user outcomes.
Owns AI-driven product vision, roadmaps, and backlog; partners with engineers and data scientists to deliver AI-powered solutions using Agile practices.
Designs and deploys transformer-based deep learning models using TensorFlow/PyTorch, optimizing architectures and solving ML challenges in a collaborative engineering team.
Build and deploy generative AI models (LLMs, diffusion, transformers) and agentic AI systems using Python, TensorFlow/PyTorch, and cloud platforms.
Own AI-powered features for Pakistan’s largest auto marketplace, designing agentic workflows and LLM-driven tools to streamline vehicle buying/selling and improve user experience.
Build and integrate AI-powered features and automation systems using Python, APIs, and LLMs, ensuring reliable production outcomes and measurable business impact.
Build and deploy ML/AI models end-to-end, from data exploration to production, using Python, PyTorch/TensorFlow, and cloud platforms like AWS/GCP/Azure.
Lead a team to design and optimize data pipelines and warehouses using AWS, Redshift, Oracle, and PostgreSQL, while mentoring engineers.
Build and fine-tune deep learning models for computer vision and NLP, integrate them into products, and optimize performance.
Principal Data Engineer builds and scales real-time and batch data pipelines using PySpark, Kafka, Flink, and cloud orchestration tools, while leading a team and mentoring peers.
Design and build Java/Spring Boot microservices for supply-chain and warehouse systems, using Kafka, Kubernetes, AWS, and CI/CD pipelines.
Position Title: Full Stack Developer Location: Bahria Town Rawalpindi, Phase 7 Job Summary We are looking for a highly skilled and experienced Full Stack Developer with at least 5 years of hands-on experience in…
Build and maintain Azure data pipelines using Data Factory, Databricks, and SQL, plus API integrations and Power BI datasets.
Designs and maintains scalable data pipelines using Azure Data Factory and Databricks to power analytics and decision-making systems.
Build and migrate a legacy Hadoop data warehouse to a modern Spark 3/Iceberg lakehouse, optimizing ETL pipelines and analytics for a large-scale client.
Build and maintain scalable data pipelines using Azure Data Factory, Databricks, and ETL tools like dbt or Airflow, with a focus on performance, cost, and data quality.
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