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Designs and deploys AI/ML models and GenAI solutions (LLMs, RAG) on Azure and Databricks, embedding intelligence into enterprise data pipelines and lakehouse architectures.
Oversee AI/ML governance at a major bank: set ethical standards, validate models, enforce MLOps controls, and ensure compliance with regulations across credit, fraud, and marketing systems.
Senior Data Scientist builds predictive models and LLM agents for automotive retail, using AWS lakehouse and Databricks to productionize multi-step AI agents with tool access and robust deployment practices.
Builds and deploys AI-powered applications using LLMs, RAG, and agentic AI; integrates with cloud services and vector databases.
Designs and maintains scalable data architectures and ML pipelines, ensuring robust data governance and high-quality training data for NLP models.
Build and deploy machine-learning models to automate decisions and insights for a global BPO provider, using Python, TensorFlow/PyTorch, and cloud platforms.
Build and optimize cloud data pipelines and warehouses (Snowflake/BigQuery) to power AI-driven analytics and BI for global consumer brands.
Build and deploy AI/ML models and data pipelines to power logistics solutions, working with Python, cloud platforms, and MLOps tools.
Lead end-to-end AI model development for CPG, including time-series forecasting, optimization, and generative AI, from data exploration to deployment.
Senior role designing BI dashboards, automating workflows with RPA, and building ML models to drive business decisions using Qlik, Python, and data pipelines.
Designs and maintains scalable data architectures, ETL pipelines, and ML data workflows to support NLP training data transformation for a global language-services provider.
Builds end-to-end data pipelines in Snowflake and AWS, transforming raw data into AI-ready features for an internal AI platform used across marketing and analytics teams.
Build and deploy AI systems for cost estimation and optimization, including LLM-powered tools and MLOps pipelines integrated with enterprise platforms.
Build production-grade ML systems to detect retail crime patterns using computer vision, NLP, and graph analytics, deploying models on a cloud-native stack to power real-time alerts for global retailers.
Build and deploy ML models to detect retail crime patterns, match suspects, and analyze video evidence for global retail clients using Python, computer vision, and cloud pipelines.
Senior Data Engineer builds AWS-based pipelines to transform financial data into features for AI models that detect and prevent financial crime.
Senior Data Engineer builds and optimizes AWS-based pipelines to transform large financial datasets into features for AI models that detect financial crime.
Lead a team of data scientists to build and deploy ML models that power route-planning software for logistics drivers, cutting waste and improving delivery efficiency.
Design and build scalable data pipelines and AI-ready data products using Python, SQL, and cloud platforms to power analytics and machine-learning use cases in regulated enterprise environments.
Build and deploy ML models, predictive analytics, and AI-powered apps to drive data-driven decisions across DKSH’s markets using Python, SQL, and frameworks like Scikit-learn and XGBoost.
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