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Build and maintain AI/ML integrations for ClickHouse, including Python connectors, vector stores for RAG, and feature stores, enabling developers to use ClickHouse in AI workflows.
Build and maintain the Kubernetes-based infrastructure and MLOps tooling that trains, validates, and deploys AI models for Intuitive Surgical’s medical devices, ensuring reproducible workflows and GPU cluster health.
Designs and advises on scalable AI solutions for clients, bridging business needs with technical architecture in LLMs, generative AI, and MLOps.
Leads a small team of ML/data engineers to design, build, and deploy production-ready AI models on Azure, owning the full lifecycle from problem framing to monitoring.
Lead AI Engineer builds and deploys scalable AI/ML models using Python/Java/C++ on AWS/Azure/GCP with MLOps pipelines.
Build and deploy production-grade AI solutions using Python, Java, or C++. Own MLOps pipelines, model versioning, and cloud deployments on AWS/Azure.
Build and maintain the AI platform infrastructure for TeamViewer Tia, including data pipelines, retrieval systems, vector databases, and production model deployment to power reliable, enterprise-grade AI experiences.
Solution Architect designs enterprise-scale GenAI/LLM systems, including RAG pipelines, agent orchestration, and secure on-prem deployments, while guiding clients through AI transformation and regulatory compliance.
Build and deploy ML models for time-series forecasting and statistical analysis using Python, PySpark, and Databricks to solve client problems in finance and energy sectors.
Career Category Sales & Marketing Operations Job Description Join our team at AMGEN Capability Center Portugal, consistently recognized among the top companies in the Best Workplaces™ ranking by Great Place to…
Lead a backend and MLOps team building AI-driven systems that power Nanit’s predictive parenting intelligence platform, including APIs, data pipelines, and model deployment.
Lead a team of AI/ML engineers to deploy bespoke GenAI solutions directly in customer environments, balancing technical mentorship with strategic alignment for Google Cloud.
Secure AI systems, LLM workflows, and agentic AI solutions by conducting threat modeling, red teaming, and risk assessments while embedding AI security into DevSecOps and MLOps pipelines.
Senior AI Security Engineer responsible for securing AI systems, LLMs, and GenAI workflows by defining standards, conducting threat modeling, and integrating security controls into DevSecOps/MLOps pipelines.
Build and deploy enterprise-grade ML systems using Python, Docker, Kubernetes, and MLOps tools like MLflow.
Build and deploy AI agents, ML models, and agentic workflows to automate FPGA testing and development using Python, LLMs, and RAG pipelines.
Design and build generative AI solutions using LLMs, agent architectures, and cloud platforms for enterprise clients, from ideation to production deployment.
Build and deploy data pipelines, ML models, and generative-AI solutions for a regulated financial firm, ensuring compliance and robust analytics.
Build and scale core ML systems from scratch for an AI data startup, training and deploying LLMs and reinforcement learning agents while shaping technical culture and infrastructure.
OPSWAT , a global leader in IT, OT , and ICS critical infrastructure cybersecurity, delivers an end-to-end platform that gives public and private sector organizations and enterprises the critical advantage needed to…
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