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Staff Data Scientist
Build and deploy deep-learning models in Python (PyTorch/TensorFlow) that generate billions of supply-chain predictions daily, collaborating with engineering and product teams.
DevOps Engineer
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.
Senior machine learning engineer
Build and deploy ML models using Python, TensorFlow/PyTorch, and cloud tools; engineer features, optimize pipelines, and productionize AI systems with MLOps.
Senior Machine Learning Systems Engineer (Remote)
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.
Data Scientist
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.
Senior Specialist Machine Learning Engineer
Design and deploy scalable ML systems in production, owning MLOps pipelines, real-time inference, and model monitoring across Vodafone’s markets.
Hybrid Data Scientist: AI Pipelines, Cloud & Kubeflow
Build AI-driven data products and scalable pipelines using Cloud Build, Docker, and Kubeflow, deploying GPU-accelerated endpoints for domain insights.
Desenvolvedor de Software Sênior (ML Engineer)
Senior ML Engineer at SiDi in Manaus to develop and optimize ML models for edge devices (mobile, embedded) using TensorFlow Lite, PyTorch, and MLOps pipelines.
Python & Kubernetes Data Platform Engineer
Builds open-source data platforms using Python and Kubernetes, integrating ML tools like Kubeflow and MLFlow for cloud and private infrastructure.
Machine Learning Engineer
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.
AI Platform DevOps Engineer | MLOps & CI/CD
Designs and operates scalable AI infrastructure, automates ML deployment pipelines, and implements DevSecOps for secure AI-enabled software in homeland security.
Senior Machine Learning Engineer
Build and scale enterprise-grade ML and GenAI platforms, hardening research code into production services, and enabling hundreds of practitioners to deploy and monitor models securely and cost-effectively.
Data Engineer
Senior Data Engineer builds secure, scalable pipelines and cloud data infrastructure to power real-time analytics and ML models for a cleantech firm optimizing energy storage and costs.
Senior Machine Learning Engineer
Build and maintain an internal AIOps/ML/LLM platform, including Kubernetes infrastructure, ML workflows, and production deployment for cybersecurity use cases.
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.