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Build and scale AI/ML systems for semiconductor manufacturing, combining classical ML with Generative AI to detect anomalies, predict maintenance, and automate test plans using AWS Bedrock and RAG pipelines.
Build AI-driven insurance models using machine learning and advanced statistics to solve real-world customer and business problems in a cutting-edge R&D lab.
Build and deploy ML/AI models to solve customer and commercial challenges at a media company, using Python, GCP VertexAI, and large-scale data assets.
Build and deploy agentic AI systems for financial data, focusing on LLM orchestration, retrieval, and scalable workflows to power research and insights.
Build and deploy agentic AI systems for financial data, focusing on LLM orchestration, retrieval, and scalable workflows to power generative AI applications in finance.
Build and deploy ML models to predict delivery dates, detect failures, and optimize logistics for 50M+ monthly shipments using Python, Spark, and cloud platforms.
Build and improve alternative credit-scoring models using Python, SQL, and ML libraries to assess borrower risk for a fintech startup.
Build and deploy AI/ML systems for B2B financial operations, focusing on invoice matching, payment reconciliation, and agentic workflows using LLMs and RAG in a fintech SaaS platform.
Senior role building and tailoring explainable credit-risk ML models for African MSME lending, using Python, XGBoost, and feature engineering from telco/bureau data.
Build data-mining pipelines and ML models to extract insights from e-commerce data, tagging systems, and user behavior to optimize GMV and productization.
Build and deploy ML models to forecast commodity flows and detect anomalies using geospatial and maritime data, working end-to-end from prototyping to production on AWS.
Builds and optimizes data pipelines and real-time systems for a major bank using Java, Spark, Python, and Hadoop ecosystem tools to support AI-driven analytics and risk scoring.
Build and optimize scalable data pipelines and real-time systems for a major bank using Java, Spark, Python, and the Hadoop ecosystem to support AI-driven analytics and risk scoring.
Build and maintain large-scale data pipelines and deep learning models to drive AI-driven insights for semiconductor and IoT solutions, using Python, TensorFlow/PyTorch, and cloud platforms.
Build and optimize data pipelines and real-time systems for a bank using Java, Spark, Python, and Hadoop ecosystem tools to support AI-driven analytics and risk scoring.
Lead AI-powered analytics and Agentic AI solutions to drive business performance across ASEAN & South Pacific, building predictive/prescriptive models and deploying scalable ML systems using Python, Azure, and Databricks.
Build and deploy ML models (churn, pricing, fraud) and LLM-based agents on AWS SageMaker to automate insurance workflows and support data-driven decisions across the business.
Build and deploy ML models for predictive maintenance and energy optimization using Python, FastAPI, and Azure ML in ETAP’s electrical digital twin platform.
Senior Data Scientist builds and deploys ML models to solve business problems, collaborating with engineers to productionize systems using Python, SQL, PySpark, and frameworks like TensorFlow/PyTorch.
Build and deploy machine-learning models to automate decisions and insights for a global BPO provider, using Python, TensorFlow/PyTorch, and cloud platforms.
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