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Design and deploy production-grade AI/ML systems for Modaxo’s mobility portfolio, focusing on scheduling, LLMs, and predictive analytics while ensuring scalability and regulatory compliance.
Senior Data Scientist builds and deploys time-series forecasting and optimization models for energy markets, using Python, MLOps, and cloud tools to reduce costs and improve grid utilization.
Designs and maintains CI/CD pipelines, model deployment workflows, and monitoring for AI systems in production, using MLflow, Kubernetes, and cloud platforms.
Embed within client teams to design and deploy scalable data platforms, ML pipelines, and GenAI workflows using Python, Spark, and cloud-native tools.
Build and run Absa’s multi-cloud AI platform, deploying and scaling services on AWS Bedrock, Databricks, Azure AI Foundry, Hugging Face, and Kubernetes to power enterprise AI use cases across the bank.
Design and run Absa’s multi-cloud AI platform (AWS Bedrock, Databricks, Azure AI Foundry) that powers 43 live AI projects across ten African countries, focusing on FinOps, zero-trust security, and agentic AI infrastructure.
Build cloud-native Python services and APIs that power data-driven network analytics, forecasting, and AI at a major media and entertainment company.
Build and deploy production-grade AI and ML solutions in Python for consumer lending, using cloud platforms and MLOps tooling to drive value for millions of banking customers.
Build and deploy production-grade AI and ML solutions in Python for consumer lending, taking models from experimentation to live systems on cloud platforms.
Build and deploy computer-vision models using deep learning frameworks like PyTorch/TensorFlow to classify images, detect objects, and segment scenes for AI applications.
Design and build enterprise-grade MLOps platforms to automate the full ML lifecycle from data prep to retraining and governance using cloud-native tools like Kubernetes, CI/CD, and IaC.
Build and deploy deep-learning models in Python (PyTorch/TensorFlow) that generate billions of supply-chain predictions daily, collaborating with engineering and product teams.
Build and scale the cloud and AI infrastructure for a Zero Trust security platform, including Kubernetes, CI/CD, observability, and MLOps tooling while mentoring engineers to own the platform long-term.
Build and deploy ML models using Python, TensorFlow/PyTorch, and cloud tools; engineer features, optimize pipelines, and productionize AI systems with MLOps.
Build and scale ML platforms for Reddit’s Ads team, including offline experimentation, training orchestration, and agentic AI workflows to accelerate model development and deployment.
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 AI-driven data products and scalable pipelines using Cloud Build, Docker, and Kubeflow, deploying GPU-accelerated endpoints for domain insights.
Builds open-source data platforms using Python and Kubernetes, integrating ML tools like Kubeflow and MLFlow for cloud and private infrastructure.
Build and deploy AI models for human-like conversations, spanning speech, language, and real-time inference systems. Own end-to-end ML pipelines and MLOps tooling in a fast-moving startup.
Designs and operates scalable AI infrastructure, automates ML deployment pipelines, and implements DevSecOps for secure AI-enabled software in homeland security.
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