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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.
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.
Build and deploy ML models end-to-end: prototype, train, and productionize AI solutions on Azure/AWS/GCP using Python, PyTorch, and Databricks.
Build and deploy ML models end-to-end, from data engineering to production on Azure/AWS/GCP, using Python, Databricks and MLOps tooling.
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…
Design and implement enterprise-scale generative AI solutions for clients, collaborating with cross-functional teams to align AI projects with business goals.
Builds and deploys Generative AI apps and intelligent automation for a financial-services firm, using Python, TensorFlow/PyTorch, and cloud platforms.
Build and scale distributed systems that power AI features for millions of users, integrating LLMs into production using Python, Spark, and Kubernetes.
Build and evaluate LLM and agent-based AI systems for mining software, using PyTorch and ML evaluation frameworks to improve model reliability and performance.
Build and deploy scalable ML models and data platforms in AWS and hybrid environments using TensorFlow/PyTorch, Docker, and Kubernetes.
Design and deploy AI-driven solutions for clients, integrating ML models into production and aligning them with business goals using Python, TensorFlow/PyTorch, and cloud platforms.
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