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Build and deploy AI/ML models and data pipelines to power logistics solutions, working with Python, cloud platforms, and MLOps tools.
Builds and maintains scalable data pipelines and infrastructure using Python, SQL, and cloud services to support analytics and machine learning workflows.
Lead a team of data scientists to build and deploy credit-scoring models that power lending decisions, ensuring accuracy, compliance, and business impact.
Designs and deploys ML models for localization workflows using Python, TensorFlow, and AWS services; owns projects from conception to production.
Build and maintain scalable software while integrating AI/ML features using Python, Java, or JavaScript and cloud platforms like AWS/Azure.
Build and deploy full-stack apps with React, Node.js, and TypeScript, integrating AI models and DevOps pipelines using AWS, Terraform, and GitHub Actions.
Build and maintain Python-based microservices for a multi-carrier shipping platform, using Flask, Kubernetes, and cloud services to power rate shopping, tracking, and delivery proof.
Senior AI scientist building and deploying ML models for public-health and forensic research, mentoring teams, and publishing findings to drive national impact.
Senior AI scientist building public-health and forensic data-science solutions using ML/AI, publishing research, and mentoring teams in Python/R and cloud platforms.
Build and deploy ML models that turn multi-modal retail data into security insights using PyTorch, scikit-learn, and Kubernetes on a cloud-native platform.
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 ship the core AI engine and agents that reason over complex business models, turning mathematical ideas into production code in Python and FastAPI.
Lead AI and data-science engagements for retail clients, translating business needs into AI solutions and deploying models using modern frameworks and cloud platforms.
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.
Build and deploy computer-vision models and analytics pipelines in Python/SQL, using cloud/big-data tools to extract insights from image data for R&D projects.
Design, build, and deploy AI/ML models and Generative AI solutions for clients in banking, healthcare, and other industries, covering the full lifecycle from data prep to MLOps.
Build and deploy scalable AI/ML models and LLM-based systems on Hilti’s AI platform, using Python, Azure, and MLOps/LLMOps practices to power global construction workflows.
Build and validate AI/ML models (LLMs, NLP, CV) for banking use cases, rapidly prototype solutions, and mentor junior team members in a collaborative, onsite environment.
Build, integrate, and optimize AI/ML solutions using Python, LLMs, and MLOps pipelines for enterprise clients, while collaborating with data scientists and engineers.
Senior Data Scientist builds and maintains Azure data pipelines, deploys ML models, and sets up MLOps for a 12-month client engagement in Cape Town.
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