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Hands-on cluster administration engineer owning and operating high-performance GPU/HPC compute infrastructure for an AI inference company, leveraging Linux, SLURM/Kubernetes, and automation tooling.
Hex Technologies is hiring an AI Research Engineer to build and scale AI-powered features like the Notebook Agent for their data science platform. The role involves running experiments, fine-tuning models, and managing AI infrastructure using Python, TypeScript, and modern cloud technologies.
Software engineer optimizing TPU/GPU performance for Gemini model training and serving across the JAX stack—custom kernels, model sharding, profiling, and compiler optimizations.
The Customer Engineering Manager leads a team of technical experts to drive data analytics and AI transformation for Google Cloud customers. This role involves managing talent, influencing product roadmaps, and providing strategic technical advice to accelerate cloud adoption and modernization.
Encord is looking for a Senior Backend Engineer to join their Foundations team, focusing on building and scaling the distributed systems and data infrastructure that power their AI platform. The role involves end-to-end ownership of backend services using technologies like Python, Kubernetes, and GCP.
Senior Product Manager leads mission planning software for autonomous unmanned systems, bridging operator workflows with technical constraints to enable real-time mission execution across air, sea, land, and space domains.
The Analytics Engineer will own the finance data domain, ensuring data accuracy and reliability for financial models and reporting. The role involves building data products, managing reconciliation processes, and utilizing technologies like Python, SQL, Snowflake, Airflow, and dbt.
Build and secure Ketryx’s AI platform for regulated industries, automating compliance workflows and cloud infrastructure while maintaining SOC 2 and ISO 27001 certifications.
Senior Solution Engineer advises clients on Boomi’s integration/AI platform, designing tailored solutions for enterprise automation, API management, and AI-driven workflows. Bridges technical and business needs, mentors teams, and drives deals through demos/PoCs.
Manual QA engineer tests government and AI-driven software products, writing test cases, running functional/API tests, and documenting bugs in Jira.
The Senior Data Engineer will work within the Data & AI hub to design data models, manage ETL pipelines, and develop Power BI dashboards using Azure and Microsoft Fabric for international enterprise clients.
Designs scalable data pipelines and AI applications using Python, SQL, and Langchain to collaborate with data scientists on cloud-based solutions while ensuring data quality and security.
Procedo is seeking a Full-Stack Developer in Milan to build and scale their AI platform. The role involves working across the full stack to translate business requirements into robust solutions in collaboration with the founding team.
Full-stack developer building an AI-powered Vision Intelligence platform for manufacturing, working across Angular 20+Tailwind frontend and Python/Flask backend with PostgreSQL on AWS.
Liablix is seeking a Founding DevOps/Platform Engineer to design cloud infrastructure, manage CI/CD pipelines, and establish MLOps foundations for their AI-driven road accident analysis platform.
The Senior Cloud/DevOps Engineer will design and operate the private cloud infrastructure for AI and HPC workloads, managing OpenStack, Kubernetes, and distributed storage systems.
Product Manager owning retention, monetization and growth metrics for a B2C AI product, using SQL and product analytics to optimize funnels, onboarding, paywalls, and trigger communications in-office in Moscow or St. Petersburg.
The Machine Learning Engineer will design, develop, and deploy scalable ML models for Capital Markets applications using Python, PySpark, and various ML frameworks. The role involves managing the full ML lifecycle, including pipeline development, model optimization, and production integration.
This role involves developing data pipelines, streaming architectures, and AI/ML solutions for a company's internal product. The position requires strong experience in Big Data technologies, cloud infrastructure, and a high level of English proficiency.
This role involves evaluating and improving AI-generated frontend code and user interfaces to enhance the capabilities of next-generation AI systems. Engineers will use JavaScript, TypeScript, and modern frameworks to review code quality, performance, and accessibility.
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