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Oversee Corporate Affairs operations for an enterprise AI company, aligning policy, communications, and impact initiatives with business goals while streamlining processes and cross-functional workflows.
Solution Architect for data platforms at Obungi, a Microsoft-focused consultancy: designing and delivering cloud-based data, analytics and AI solutions for enterprise and mid-market clients across industries (e.g. real-time analytics for energy trading, BI for retail), self-organized in agile teams.
Senior Software Engineer builds and scales a high-performance network observability platform for RDMA, RoCE, InfiniBand, and TCP/IP networks, using distributed systems and Linux networking tools.
Builds and maintains automated tests and CI/CD pipelines for a startup developing software-driven fabrics to optimize GPU cluster performance for AI workloads.
Builds and optimizes AI compilers and programming abstractions for Microsoft’s AI supercomputers and Maia-200 accelerator using LLVM, MLIR, and Python.
Build and lead Toast’s data platform: real-time streaming, Iceberg lakehouse, and ML feature serving that power analytics and AI-driven features for 170,000+ restaurants.
A senior engineer/researcher in the company's Algorithms group designs, develops, and deploys advanced deep learning algorithms — including CNN architectures, computer vision, and physics-based approaches — for real-world scenarios. Core stack is Python and PyTorch.
Adastra is hiring a contract Lead AWS Data Engineer (3 months, hybrid 3 days onsite in NYC or Toronto) to build secure, scalable AWS data lake solutions for a global institutional investment client. Core stack: Lake Formation, Glue, Athena, Apache Iceberg, Python/PySpark, SQL, and Terraform.
Backend-heavy senior full-stack role owning Python/FastAPI APIs, PostgreSQL data modelling, AI/LLM integrations, Airflow data pipelines, and AWS infrastructure for an Israeli AI startup that analyzes books and manuscripts for the publishing industry; occasional work on the existing React/Material UI frontend.
This role involves building an enterprise Retrieval-Augmented Generation (RAG) platform using Go and Python. The engineer will work on end-to-end full-stack development, integrating AI models and collaborating with NVIDIA to deliver scalable data retrieval solutions.
Guide customers through implementing an AI-powered proposal platform, configuring it to their workflows, and training teams to use it effectively for competitive bids.
A program manager role at Google's AI and Infrastructure team, driving governance and execution of long-term supply chain contracts. Day to day: building governance frameworks, tracking agreement milestones and clauses, coordinating legal and sourcing workflows, mitigating supply risks, and creating executive dashboards for spend approvals and leadership syncs.
Design and deploy ML systems, including GenAI solutions, for global clients in a remote-first consultancy. Lead projects, mentor juniors, and optimize models using Python, PyTorch, and AWS.
Design and deploy ML systems (classical, deep learning, and GenAI) for clients in climate, healthcare, and education, using Python, PyTorch, and AWS.
Fullstack engineer building core features of an enterprise AI and data platform — spanning data preparation, ML/LLM integrations, visualization, MLOps, and AI governance. Work spans backend (Java, Python) and frontend (Angular, React), plus Kubernetes, Spark, and cloud platforms. Junior to senior candidates welcome; based in Spain.
A hands-on, customer-facing engineering role at an Industrial AI startup: the Forward Deployed Engineer works directly with factory customers to discover use cases, integrate industrial data (PLCs, OPC UA, SCADA, MES, ERP), and build and deploy AI agents and workflows, primarily with Python and APIs. Based in Munich with regular travel to customer sites.
Build and optimize large-scale data pipelines for multimodal AI training data (video, audio, text) to power real-time, emotionally intelligent avatars.
Build and ship deep-learning computer-vision models for AI-powered recycling robots, from research to production in PyTorch.
AI Research Engineer at Prolific AI Research (PAIR) leads independent research on LLM/agent evaluation grounded in human data, alignment techniques, and synthetic data generation, building scalable evaluation frameworks and tooling while publishing papers. Requires 5+ years of AI/ML-focused engineering experience and deep knowledge of LLM evaluation, fine-tuning, and optimization.
Principal Solution Architect builds and evangelizes AppViewX’s agentic identity security platform, designing demo environments and reference architectures while engaging CISOs and analysts to shape the AIS market narrative.
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