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Build and deploy ML models using TensorFlow or PyTorch to create data-driven solutions in collaboration with data scientists and engineers.
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 AI models in Python using TensorFlow/PyTorch, then productionize them with MLOps on Azure and Docker; translate insights into business decisions.
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.
Design and implement AI-driven solutions on SAP Business Technology Platform, integrating generative AI, machine learning, and SAP services to optimize business processes and decision-making.
Senior backend engineer building a secure serialization platform that issues and verifies cryptographically protected codes, integrating cloud/on-prem systems and machine learning.
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.
Design and deploy AI models to automate workflows, analyze datasets, and build dashboards that help stakeholders make data-driven decisions.
Lead a team building AI-driven fraud detection models and MLOps pipelines on AWS and Databricks to proactively identify financial crime patterns and reduce losses.
Build and productionise ML models for an e-commerce platform, using Python, TensorFlow/PyTorch, and cloud pipelines to improve product recommendations and business decisions.
Design and deploy AI/ML models for fintech domains like payments and liquidity management using Python, cloud platforms, and MLOps tools.
Build and deploy AI models for content personalization, newsroom automation, and recommendation systems using Python, TensorFlow/PyTorch, and cloud platforms.
Designs, builds, and deploys AI/ML models and data pipelines to production, optimizing performance and collaborating with cross-functional teams.
Senior Data & ML Engineer builds automated data pipelines, a central SSOT database, and AI/ML-ready data models to support reporting, analytics, and machine learning across the business.
Senior Data Scientist to design Azure data pipelines, build ML models, and implement MLOps for enterprise-scale analytics and AI solutions in a 12-month contract.
Build and scale Python applications that integrate ML models, using PySpark and Kubernetes; collaborate with data scientists to deploy end-to-end ML pipelines.
AI Manager at GPT GROUP. In this position, you will lead initiatives in artificial intelligence to enhance our operations and customer experiences. You will collaborate with various teams to implement innovative…
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