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Build and deploy ML models end-to-end in healthcare, from EDA to production on GCP, using Python, LLMs/GenAI, and MLOps pipelines.
Builds and scales the core infrastructure for AI platforms at Databricks, including MLflow, AI Gateway, and model serving systems, using Scala, Go, or Python.
Builds and scales the unified API layer for large language models at Databricks, enabling real-time and batch inference for enterprise customers using partner and self-hosted models.
Build and scale LLM inference infrastructure for enterprise AI workloads, enabling customers to serve and optimize frontier models with high reliability and performance.
Build and scale the backend infrastructure that powers Databricks’ AI platform, including MLflow, model serving, and vector search, using Scala, Go, or Python.
Data Engineer working on GCP to industrialize data pipelines, manage ML environments, and implement CI/CD and MLOps practices for a banking client.
Data Engineer working on GCP to industrialize data pipelines, manage MLOps and FinOps, using technologies like BigQuery, GCS, Python, and SQL for a banking sector client.
DevOps Engineer managing AWS production infrastructure, Terraform IaC, CI/CD with GitHub Actions and Argo CD, and observability via the Grafana LGTM stack, while supporting an AI platform on GCP Vertex AI.
Designs and builds AI-powered features for a work-management platform, focusing on large language models and machine learning to automate tasks and surface insights.
Senior engineer maintaining and improving production AI platforms on Kubernetes across on-premise, AWS, and GCP, using MLOps and Python to ensure reliability and scalability.
Lead a team to verify Google’s TPU silicon, defining advanced verification flows and methodologies to ensure functional correctness and performance of AI hardware accelerators.
Leads AI/ML engineering teams to design and deploy production-grade AI solutions (LLMs, classical models, agent systems) for consulting clients, focusing on architecture, context engineering, and fine-tuning pipelines while supporting pre-sales and strategy.
Build and scale the machine learning platform that powers AI-driven behavioral health tools, including LLM serving, GPU inference, and multimodal data pipelines, for a fast-growing virtual care provider.
Build and scale the machine learning platform that powers AI-driven behavioral health tools, including model serving, GPU inference, and multimodal data pipelines.
Develops and maintains emulation infrastructure for Google Cloud’s TPU hardware, focusing on verifying complex digital designs and debugging emulation platforms to accelerate AI/ML hardware acceleration.
The Data Center team designs and operates some of the most sophisticated electrical engineering, mechanical engineering and HVAC systems in the world. Facilities Technicians at Google data centers operate, monitor and…
Designs and develops backend applications on Google Cloud Platform (GCP) to migrate on-premise systems and build a scalable data platform for credit decisioning, focusing on performance, scalability, reliability, and cost optimization.
Google isn't just a software company. The Hardware Operations team is responsible for monitoring the state-of-the-art physical infrastructure behind Google's powerful search technology. As a Hardware Operations…
Build and maintain MLOps/LLMOps infrastructure on GCP to deploy and scale AI/ML models, collaborating with researchers and engineers to bring experiments into production.
Leads software engineering for Google Compute Engine’s fleet deployment platform, designing and maintaining tools that manage VM and host software updates at massive scale to improve deployment velocity, reliability, and uptime.
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