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Lead AI/ML strategy and teams at early-stage startups, defining product roadmaps and deploying generative AI systems using Python, PyTorch, and cloud MLOps stacks.
SignalFire connects Senior/Staff Data Scientists with VC-backed startups in AI, cybersecurity, healthtech, fintech, and devtools, focusing on experimentation, modeling, and data-driven product decisions.
Build and adapt AI models for early-stage startups, turning research into production systems and improving model performance, reasoning, and efficiency.
Principal AI/ML Engineer to architect and deploy cutting-edge models (LLMs, transformers) and lead AI strategy at high-growth startups in SignalFire’s portfolio.
Build and deploy AI models from scratch for early-stage startups, leading RAG pipelines, agent architectures, and LLM-powered systems in Python with PyTorch/TensorFlow.
Build and deploy AI/ML models (predictive, recommendation, deep learning) using Python, PySpark, and MLflow; optimize pipelines and collaborate with data engineers to drive business KPIs.
Senior Machine Learning Engineer - $170k + Bonus - Sydney (Hybrid 3 days in office) Nuage have recently partnered with a well established, long-standing technology organisation that has / is investing heavily in AI and…
About Us: Fireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and…
Design and deploy AI solutions like RAG systems and assistants, integrating them into enterprise workflows and owning projects end-to-end.
Secure AI systems by assessing LLM and generative AI security risks, implementing controls for training/inference pipelines, and hardening ML infrastructure against prompt injection, model poisoning, and data exfiltration.
Design and evaluate AI/ML models for VA healthcare, ensuring compliance with federal standards and translating technical findings for stakeholders.
Lead a team to design, build, and deploy AI-powered applications using LLMs, RAG, and vector databases, while mentoring engineers and enforcing engineering standards.
Builds and deploys predictive models and analytics to support financial data products and services at a global market-intelligence provider.
Lead Security Engineer at JPMorgan Chase designs and implements tamper-proof security solutions for enterprise software, leveraging Java/Python, AI/ML (PyTorch/TensorFlow), GenAI (LLMs, RAG), and threat modeling to harden systems against misuse and vulnerabilities in financial services infrastructure.
Build and operate the distributed orchestration engine for AWS SageMaker’s Model Factory, enabling scalable foundation-model training and customization workflows across thousands of GPUs and Trainium devices.
Research Scientist at NTU’s Alibaba-NTU Global e-Sustainability CorpLab, developing AI-driven sustainability metrics and vector-search systems to quantify ESG performance and reduce carbon footprints.
Build and deploy generative-AI solutions using LLMs, prompt engineering, fine-tuning, embeddings, and RAG pipelines for enterprise use cases like customer service and document automation.
Builds and deploys AI/ML models (NLP, vision, prediction) and data pipelines to automate decisions and workflows in a design-focused architecture firm.
An internship developing AI compiler technologies (MLIR) to optimize neural networks for NXP’s edge devices, bridging ML frameworks (PyTorch/TensorFlow) with hardware acceleration.
YOU ARE You lead the complete knowledge engineering scope on our most strategic and complex programs; lead creation of thought leadership, innovation, and assets for the discipline. You own how the most demanding…
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