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Senior Hybrid Cloud Architect - (Data Center)
Lead Ford’s hybrid cloud and on-prem infrastructure team, designing scalable systems, migrating legacy datacenters to cloud, and automating deployments with IaC and CI/CD.
Data Scientist, Applied AI - Latin America - Remote
Build and productionize generative AI models and LLM-driven applications using PyTorch, RAG pipelines, and vector databases, while engineering robust MLOps and data pipelines in Python.
MLOps & AI Data Engineer — Cloud-Native ML Expert
Build and maintain cloud-native ML pipelines and automation for AI model deployment using tools like MLflow, Kubeflow, and AWS SageMaker.
MLOps Engineer / AI Data Engineer
Build and maintain AI/ML pipelines, deploy models, and manage lifecycle with tools like MLflow, Kubeflow, or cloud platforms (AWS SageMaker/Azure ML).
Data Engineer [M/F]
Builds and maintains data pipelines and ML workflows in Python, using Airflow/Kubeflow and Docker/Kubernetes on GCP to process large datasets.
Data Engineer: Pipelines, ETL & Cloud (Python)
Builds and maintains data pipelines and ETL workflows in Python, running on Google Cloud, to process large datasets efficiently.
Senior DevOps Engineer
Build and operate a sovereign European cloud platform using Kubernetes, GitOps, and CNCF tools; design lifecycle, CI/CD, and observability for a PaaS stack powering science and Earth Observation.
AI/ML Associate Engineer
Build and deploy secure, production-grade AI/ML systems including LLM workflows, RAG pipelines, and agentic AI for enterprise use at a global bank.
Artificial intelligence engineer (ai engineer) – build ai products in online gaming – cape town[...]
Build and deploy AI products for online gaming, including recommendation engines, LLM apps, and player-assistant agents using Python, AWS, and ML tools.
Lead AI Agents & Generative AI Architect
Lead the design and implementation of scalable GenAI, LLM, and AI-agent architectures, including RAG and MLOps/LLMOps pipelines, to deliver enterprise solutions and accelerate client adoption.
Data Scientist (AI/ML) | Contract | Financial Services
Design and deploy AI/ML models (Generative AI, NLP, recommendations) for financial services, building scalable pipelines and driving end-to-end solutions from modeling to production.
Lead Machine Learning Engineer
Lead the design and delivery of end-to-end scalable machine learning systems using Python, TensorFlow, and cloud platforms, while mentoring teams and shaping ML strategy for high-stakes client projects.
Senior Machine Learning Engineer
Design and build production-grade AI/ML platforms and MLOps pipelines for clients, using Python, cloud (GCP/AWS/Azure), Terraform, and tools like Vertex AI and Kubernetes.
Senior AI/Machine Learning Engineer
Build and deploy production-grade AI/ML models, including LLMs with RAG and AI agents, using Python, PyTorch/TensorFlow, and cloud MLOps tools.
Machine Learning Engineer
Build and deploy ML models and LLM-based apps for beauty ecommerce, including recommendation engines and NLP, using PyTorch, FastAPI, and GCP VertexAI.
Software Engineer - AI MLOps Engineer
Build and deploy AI-driven tools to automate code generation, testing, and CI/CD workflows, using Python, ML frameworks, and MLOps pipelines.
Data Engineer (AI/ML) Contract
Design and deploy AI/ML systems (Generative AI, NLP, vision, recommendations) using Python, TensorFlow/PyTorch, and cloud tools to solve business problems at scale.
Software Engineer, AI Infrastructure & Operations, AI Practice
Build and maintain secure, scalable AI infrastructure for Singapore’s government, automating ML pipelines, optimizing LLMs, and enforcing compliance standards.
Data Science & AI Engineer
Build and deploy AI models (computer vision, ML) and data pipelines to automate avionics workflows and deliver data-driven insights for Thales’ flight systems.
Data Engineer (AI/ML) Contract
Design and deploy AI/ML systems (Generative AI, NLP, vision, recommendations) end-to-end on cloud infrastructure, mentoring junior engineers and leading cross-functional projects.