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Designs and builds AI/ML models (LLMs, generative AI, or computer vision) using frameworks like TensorFlow and PyTorch, integrates them into applications, and optimizes performance in production.
Designs autonomous network solutions for mobile/fixed telecoms using AI frameworks (Vertex AI, LangGraph), network programmability, and agentic systems to optimize performance and cost.
Build and deploy ML models for dynamic pricing, demand forecasting, and routing in a global ride-hailing SaaS platform using Python, SQL, Kubeflow, and MLflow.
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.
Build AI-driven predictive models and anomaly detection systems using industrial sensor data to optimize mineral processing plants, combining process engineering with Python and ML pipelines.
Build and validate credit-risk models using Python and SQL to predict borrower default, turning lending data into actionable insights for responsible credit decisions.
Build and scale the AI platform that powers real-time, intelligent features for millions of travelers, integrating ML models into production systems with Java/Scala/Python and Kubernetes.
The Data Science Analyst is responsible for using data science, machine learning, statistical modeling, and advanced analytics to solve complex business problems across Supply Chain and Operations. This role works at…
Build and deploy ML models to detect and prevent fraud in a fast-growing African fintech platform, working cross-functionally to balance loss reduction with customer experience.
Develop and optimize AI models (e.g., CNN, Transformer, ViT) for computer vision and surveillance, using Python/C++ and frameworks like PyTorch/TensorFlow.
Ready to drive the future? As part of the global Bertrandt Group, our team of innovators tackles cutting-edge projects across ADAS, Autonomous Driving, Electric Mobility, and Manufacturing Support, transforming complex…
Build and deploy machine learning models on Azure using Python, Azure ML, and Databricks to deliver data-driven insights and predictive analytics for business stakeholders.
Build and scale enterprise-grade ML and GenAI platforms, hardening research code into production services, and enabling hundreds of practitioners to deploy and monitor models securely and cost-effectively.
Build and deploy AI/ML models and GenAI applications to optimize Amgen’s global supply chain, integrating LLMs, vector databases, and orchestration frameworks like LangChain.
Build and maintain a Databricks-powered data platform using Spark, Delta Lake, and Python to power analytics and AI/ML workflows for a company migrating from AWS-native services.
Design and implement scalable data architectures for AI systems, build robust pipelines, and lead MLOps/LLMOps deployments using Python, Spark, and cloud platforms.
Build and maintain ETL pipelines, streaming data flows, and vector databases to power AI-driven marketing platforms using Databricks, Spark, and GCP.
Builds and maintains data pipelines and infrastructure to power AI/ML applications, collaborating with data scientists to integrate models into systems.
Senior data scientist builds and validates contextual bandit systems for retail e-commerce on AWS SageMaker, then takes 24/7 production ownership including monitoring, retraining, and A/B testing.
Builds data-driven solutions on AWS, engineering features and analytical workflows to turn datasets into business insights and scalable pipelines.
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