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Build and deploy AI models to improve media readership, ads, and content recommendations using Python, LLMs, and GCP.
Principal Data Scientist at BHP mines and analyzes large datasets to build predictive models, drive business insights, and optimize processes across the company’s climate-tech operations.
Designs, builds, and deploys ML/AI models and Generative AI solutions for banking and healthcare clients, spanning the full AI lifecycle from data prep to MLOps.
Analyze education and construction training data to generate insights, build predictive models, and create reports that guide course development and strategic decisions at a large government vocational training provider.
Build and deploy LLM-based applications using frameworks like PyTorch and Hugging Face, focusing on NLP and large language models such as LLaMA.
Lead data analytics and AI initiatives at a global renewable energy firm, building ML models, LLMs, and automation to drive climate-focused business decisions using Python, SQL, and cloud platforms.
Build and refine digital twin simulations and forecasting models in Python/SQL to optimize pricing, margins, and capacity for a logistics-focused product.
Build predictive and optimization models to improve call-center performance and customer experience using Python/R, SQL, and analytics tools.
Build and refine credit-risk models to assess loan default risk for a fast-growing fintech serving 300k+ micro-entrepreneurs in the Philippines.
Build and optimize ML models for dynamic pricing, trip dispatching, and fraud detection using Python, SQL, and GCP to drive Yassir’s mobility super-app.
Research Fellow develops interpretable AI/ML models for anomaly detection and predictive tasks on pharmaceutical datasets in collaboration with CSL Behring.
Build and maintain the company’s enterprise data platform using big-data tools like Hadoop, Spark, and NoSQL databases to support analytics and modeling.
Build large-scale predictive models and MLOps pipelines for Fortune 500 clients using Python, SQL, Snowflake, Databricks, and SageMaker.
Build and deploy production-grade ML and generative AI models on AWS for fraud, identity, and decisioning products, collaborating with data scientists and engineers to productize solutions.
Leads a team to build, deploy, and monitor ML models that predict customer behavior and credit risk for a telecom company, translating business needs into data-driven solutions.
Build predictive health analytics models for pharma, governments, and investors using Python/R and advanced statistical techniques to forecast vaccine sales, pricing, and disease trends.
Build and maintain data pipelines and models in BigQuery/dbt to power analytics and dashboards for Einride’s freight and sustainability platform.
Lead a team of data scientists to design experiments, build predictive models, and shape AI product strategy through rigorous analytics and go-to-market insights.
Research role developing AI/ML models to advance next-gen solar cell technologies, analyzing datasets and publishing findings in a university lab.
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