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Design and build scalable data pipelines and models for an AI-focused GPU cloud platform, using Palantir Foundry and Python to enable real-time analytics and customer insights.
Designs and builds scalable data pipelines and models for Nscale’s GPU cloud platform, transforming operational signals into reliable data products using Palantir Foundry and Python.
Design and build scalable data pipelines and models for an AI-focused GPU cloud platform, using Palantir Foundry and Python to enable real-time insights and operational reliability.
Develops AI/ML models to analyze multimodal datasets (text, imagery, geospatial) for national security intelligence, collaborating with teams to solve complex problems under government constraints.
The Senior Machine Learning Engineer will manage the end-to-end lifecycle of ML and LLM-based solutions, focusing on model optimization, deployment, and MLOps infrastructure. The role involves developing agent systems and collaborating with cross-functional teams to integrate scalable machine learning models into production.
About Us Veeda AI is building the next generation of multimodal foundation world models for Physical AI. We're a small, fast-moving team of engineers and researchers from leading AI labs, tackling some of the most…
Australian Citizens residing in Australia only respond. Remote work permitted Essential criteria 1. In-depth understanding, knowledge and demonstrated technical experience maintaining and securing bespoke technical…
Australian Citizens with ability to obtain Baseline Clearance residing in Australia only respond. Contract start 14 August 2023 to 12 months, 12 months extensions. Australian Citizen, Ability to obtain Baseline…
DataEngineer London|Hybrid|Full-time…
Build and stress-test Tower’s internal AI/ML research platform by running large-scale models, identifying bottlenecks, and guiding infrastructure improvements for trading research teams.
Job opportunity for Data Engineer at PT Sigma Global Teknologi in Kota Jakarta Barat, DKI Jakarta, Indonesia. Kualifikasi 1. Programming language a. Phyton b. Advance SQL (subquery, ROW_NUMBER, RANK, PARTITION BY,…
Build cloud-native data platforms and MLOps workflows, designing ETL/ELT pipelines, data lakes/warehouses, and feature stores for AI/ML and analytics.
Build and maintain clean, trading-ready financial datasets by automating ingestion, validation, and enrichment of exchange and vendor data using Python, SQL, and Pandas/Polars.
Who You'll Work With Driving lasting impact and building long-term capabilities with our clients is not easy work. You are the kind of person who thrives in a high performance/high reward culture - doing hard…
Lead a team to design and build advanced analytics solutions using Python, SQL, and big-data tools like Spark, while mentoring junior engineers and applying predictive analytics.
Builds and optimizes the core components of Daft, a distributed data engine for multimodal AI workloads, focusing on query planning, execution, distributed scheduling, and storage integrations (e.g., Parquet, Iceberg). Works with a small team to design and implement systems for high-performance data processing at scale.
Lead a team building a knowledge graph that maps scientific experts from publications and clinical trials using graph databases, vector embeddings, and LLM workflows to power expert discovery and AI-driven insights.
Build and scale MLOps infrastructure to deploy, monitor, and maintain AI models in production, collaborating with data scientists and engineers to ensure reliable, high-performance AI-driven services.
Build and maintain scalable data pipelines for the South African Reserve Bank, enabling Data as a Service and advanced analytics using Python, Spark, and cloud platforms.
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