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Senior Full-Stack Developer builds AI-accelerated cloud applications on GCP, leading rapid MVP development and team mentorship in a fast-paced startup.
Senior Technical Program Manager leading complex, cross-functional programs for Google's AI and Infrastructure Data Centers team, driving ML delivery capacity and data center operations at scale.
Build low-level firmware and system-level controller software for Google’s custom AI hardware (TPUs), ensuring reliability, performance telemetry, and fault tolerance across the stack.
Designs fault-tolerant software and firmware for Google’s server fleet, bridging hardware/software boundaries to detect, diagnose, and mitigate failures while optimizing reliability and cost. Core tech: C++, distributed systems, hardware telemetry, and RAS frameworks.
Google will be prioritizing applicants who have a current right to work in Singapore, and do not require Google's sponsorship of a visa. Minimum qualifications: Bachelor's degree in Engineering, Computer…
The Full Stack Data Scientist will build, deploy, and maintain predictive models for customer lifetime value and marketing incrementality at Pet Circle. This role involves partnering with marketing teams to translate complex data into actionable business decisions using Python, SQL, and cloud-based data platforms.
Design and deliver enterprise-scale GCP data platforms using BigQuery, dbt and Airflow, focusing on scalable ELT pipelines and modern data architecture.
We’re looking for a tech leader ready to take their career to new heights. Join the ranks of top talent at one of the world’s most influential companies. As a Senior Principal Software Engineer at JPMorganChase within…
Turn complex data into decisions that matter. Agile Bridge is looking for a Data Scientist who can move confidently from messy data and ambiguous business questions to reliable models, clear insight and measurable…
The MLOps Engineer will design and implement automated pipelines for model deployment, monitoring, and retraining within Data Science projects. The role requires expertise in cloud-based ML platforms, CI/CD/CT practices, and container orchestration using tools like Kubernetes, AWS SageMaker, and Kubeflow.
Role\: Gen AI & Agentic AI Architect Location \: Pan India Experience \: 6 to 15 Years Notice Period \: Immediate to 90 days Mode of Interview \: In Person Gen AI & Agentic AI Architect About The Role\: We are…
Design and lead AI-driven platforms, selecting frameworks like PyTorch and deploying models via MLOps pipelines to solve business challenges at scale.
Become a part of our caring community Most AI engineering jobs are a thin wrapper around a model API. This role is different. We build the platform that transforms millions of clinical documents into trusted,…
Become a part of our caring community Every large organization is making critical decisions today about how it will leverage AI over the next decade. Few have leaders who can both define that vision and demonstrate its…
Become a part of our caring community You have shipped AI products before. You understand the difference between a demo and a production system. You have strong opinions about evaluation frameworks because you have…
The AI Engineer will design, develop, and deploy intelligent systems, focusing on machine learning, deep learning, and generative AI models. The role involves building scalable AI pipelines, implementing agentic platforms, and ensuring model performance and compliance within the healthcare domain using AWS technologies.
Design, develop, and deploy GenAI and agentic workflows across the HR hire-to-retire lifecycle at Revvity, building full-stack applications that integrate LLMs and RAG pipelines with enterprise HR systems like Workday.
SRE Compute role at S3NS (Thales/Google Cloud JV) operating and maintaining GCP-equivalent compute platforms (GCE, GKE, Vertex AI) with 24/7 on-call, incident management, SLI/SLO monitoring, and infrastructure automation in a SecNumCloud-certified sovereign cloud environment.
The Senior Security Engineer designs and maintains production-grade automation and AI-driven workflows to enhance Security Operations. The role focuses on building scalable, reliable platforms and integrations using Python and CI/CD pipelines to support incident response and threat intelligence teams.
Manages AI solution design and prototypes for enterprise clients, bridging sales and technical teams to demonstrate cloud-based AI value using hyperscaler tools like AWS Bedrock and Azure ML.
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