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Join us in a high-impact, high-visibility role where you will pioneer world-class Data & AI engineering solutions, building the next generation of intelligent, agent-driven systems that power real-time business…
Our team at Blackline Safety is growing! As a people-driven technology company, with a mission to make sure every worker returns home safely, we drive innovation, practice resiliency, demonstrate leadership, go the…
At cloudandthings.io, we are an engineering-led consultancy focused on building modern Data and AI Platforms for enterprise clients. We don't just design architectures; we build real systems that power analytics,…
Build and optimize large-scale ML systems for Coupang’s ad platform, focusing on ad targeting, relevance, and ranking using transformers, embeddings, and vector search.
Build and optimize large-scale machine learning systems for Coupang’s ads platform, focusing on ad targeting, relevance, and ranking using transformer models, embeddings, and vector search.
Payabli is a next-generation Payments Infrastructure and Monetization Platform purpose-built for vertical software companies. Through a single, developer-friendly API with low-code embedded payment components, Payabli…
Build and scale ML infrastructure for Roku’s recommendation engine, including feature stores, inference services, and vector databases to serve millions of users.
Job Title: Data Engineer II Location: Gurgaon, HR Experience Required: 3+ years Role Type: Contract-5 months Shift: general Work Mode: Hybrid CTC-18 LPA Mandate skills: • Python • PySpark / Spark • AWS – S3, SageMaker,…
Build and maintain the machine-learning infrastructure that trains and deploys autonomy and perception models for autonomous battery-electric rail vehicles, using cloud platforms and MLOps tooling.
Designs and leads AI/ML systems for player personalization, matchmaking, and social experiences in a live-service gaming platform, focusing on graph-based models, real-time inference, and fairness/equity in recommendations.
The Senior ML Engineer will develop and deploy surrogate models to accelerate physics simulations for autonomous air vehicle design. This role involves building training infrastructure, optimizing inference for engineering workflows, and collaborating with domain experts to integrate AI into hardware development.
Build and maintain Later’s cloud infrastructure, Kubernetes clusters, and MLOps pipelines to deploy AI models reliably using AWS, Terraform, and CI/CD tools.
Design and deliver enterprise-grade generative and agentic AI systems on AWS, leveraging Amazon Bedrock, Strands Agents, and related services to build scalable, secure AI platforms.
Designs and leads enterprise-grade generative and agentic AI systems on AWS, using Amazon Bedrock, Strands Agents, and related services to deliver scalable, secure, and production-ready AI platforms.
Principal engineer designing and shipping production-grade multi-agent AI systems on AWS, leading architecture across cloud, data, and AI/ML while mentoring teams and setting technical direction.
Lead end-to-end delivery of enterprise-grade AI agents, defining behavior, running evals, and shipping production solutions in 30–45 days using AWS AI services and modern agentic frameworks.
Lead end-to-end architecture for cloud, data, and AI systems, designing scalable, secure solutions and mentoring teams to ship production-ready AI in 30–45 days.
Lead the design of cloud, data, and AI systems for enterprise clients, setting technical direction and mentoring teams to ship production-ready AI in 30–45 days.
Senior engineer at Babylist solving ambiguous, high-impact problems across a Rails monolith, AI tools, and family-focused products like registries and financial services.
Staff Engineer at Babylist designs and builds core systems for family-focused products, using Rails, React, and AI tools to solve complex customer problems and scale platforms.
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