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Build scalable cloud-native microservices in Java/Python on Azure, using AI tools like TensorFlow and PyTorch to automate engineering workflows and boost productivity.
Leads a team of ML engineers and data scientists to design, deploy, and maintain machine learning systems for sports betting and gaming platforms using Python, TensorFlow/PyTorch, and AWS.
Praktikant:in entwickelt KI-Algorithmen für Qualitätskontrolle in der Serienproduktion, nutzt Python, TensorFlow/PyTorch und arbeitet mit Produktionsteams zusammen.
Internship advancing machine-learning algorithms for quality assessment in series production using Python, PyTorch, and TensorFlow. You will build prototypes and support digitalization teams in manufacturing.
Lead a data science team at S&P Global to build predictive models and analytics solutions for financial data and market insights.
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…
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.
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 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.
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