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Build and scale Nuance Labs’ RL/post-training stack for real-time, full-duplex AI avatars, focusing on policy optimization, reward modeling, and multimodal interaction systems.
Optimize and deploy real-time AI avatars by accelerating LLM, audio, and diffusion model inference to sub-500ms latency using quantization, KV cache tuning, and custom kernels.
Optimize and deploy real-time AI avatar models for sub-500ms latency, focusing on KV cache, quantization, and kernel-level acceleration across LLMs, audio, and diffusion components.
Build and optimize large-scale data pipelines for multimodal AI training data (video, audio, text) to power real-time, emotionally intelligent avatars.
Designs and maintains cloud-based data pipelines and Snowflake transformations to support ML/AI model training and deployment, using Python, SQL, and AWS-native services.
Build and optimize Datadog's referential data platform (REDAPL), a high-scale graph engine tracking infrastructure resources and relationships for observability and security products.
Builds and maintains high-throughput, mission-critical data pipelines for billing, cost attribution, and revenue systems at scale using Spark, Airflow, and related tools.
Why Keyrus, Why Now! Keyrus is an international group of 2,800 consultants and experts across 28 countries, built on a single conviction: AI does not transform businesses. Architected intelligence does. For more than…
Data Engineer – Azure / AWS / Databricks / Microsoft Fabric About the Role We are looking for a Data Engineer with 2–3 years of experience to join our Data & Analytics team and contribute to the development of…
On behalf of our client, we are seeking an experienced Data Solutions Architect to join their team in Riyadh. The role is responsible for designing and leading the implementation of an on-premises Data Lakehouse on…
On-site DevOps engineer in McLean, VA (active TS/SCI with polygraph required) supporting enterprise mission systems for a government-facing team. Day to day: building CI/CD pipelines (Jenkins), managing AWS infrastructure with Terraform, containerizing apps, scripting in Bash/Python, self-hosting PostgreSQL/MySQL, and running monitoring/alerting with Prometheus and CloudWatch.
YOUR ROLE We're seeking an Analytics Engineer to help shape the future of data-driven decision-making at our rapidly growing insurance technology company. As a key member of our data team, you'll architect and…
YOUR ROLE As a Platform Engineer, you will help build and automate foundational services and workflows that support our engineering team and multiple other teams across the organization. You'll streamline internal…
Read this first You're probably already doing most of this job without the title. People bring designs to you before they build, your review is the one that catches things, and when something breaks late at night…
A hands-on senior manager role at Walmart Global eCommerce China: architect and operate the end-to-end data layer (batch and streaming pipelines, lakehouse, feature store, governance) behind a large e-commerce platform, while leading and mentoring a team of senior data engineers. Core stack includes Spark, Kafka/Flink, CDC, dbt, and China-local clouds, plus AI/LLM-powered data automation.
Build and maintain scalable data pipelines and backend systems to power AI/ML features for a mental-health platform, ensuring reliable, high-performance data infrastructure for clinicians.
Clurgo to firma stworzona przez developerów dla developerów. Nasze zespoły łączą pełne spektrum kompetencji - od rozwoju oprogramowania i infrastruktury, przez analizę oraz testy, aż po strategiczne zarządzanie…
A Senior Developer Advocate at Databricks engages with the Bay Area AI community to promote Databricks' AI/ML platform, creating demos, tutorials, and content around agentic systems (e.g., Genie Agents, MLflow) while bridging community feedback to product teams.
Lead Databricks’ open-source Developer Advocates, deepen engagement with Apache/Linux Foundation communities, and drive adoption of projects like Apache Spark™, Delta Lake, and MLflow through technical storytelling and community programs.
Build and grow the open-source Omnigent project, a meta-harness for AI agents, by creating demos, docs, and community programs that help developers integrate and contribute to the tool.
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