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Build, train, and deploy AI/ML models for defense and national security use cases using Python, TensorFlow/PyTorch, and deep learning.
Build and deploy AI/ML models to extract insights from structured and unstructured data for government clients, using Python, TensorFlow, and cloud platforms like AWS or Azure.
Build and tune ML models (LLMs, CV) to turn complex data into actionable insights for special operations intelligence, using Python, TensorFlow, and PyTorch.
Teach data science fundamentals and mentor students via live sessions, 1:1 calls, and project reviews using Python and ML libraries.
Build and deploy Python-based data models and workflows for sales compensation planning, territory design, and quota setting, working directly with customers to turn messy data into actionable insights.
Lead a Data Science team to transform pharmacy data into predictive models and business insights, using Python, SQL, and ML to optimize sales, marketing, and inventory for pharma brands.
Build and deploy production-grade AI models using PyTorch and LLMs to power analytics from NielsenIQ’s global retail data, collaborating with engineers and business teams.
Leads machine learning initiatives for an online gaming platform, designing and deploying scalable models to enhance security, user experience, and data-driven decisions for hundreds of thousands of users.
Build pricing, forecasting, and recommendation models for a B2B wholesale marketplace using Python, SQL, and econometric techniques.
Lead a data science team at S&P Global to build predictive models and analytics solutions for financial data and market insights.
Jeden Abend wirft der Handel Ware weg, die niemand bestellt hat. Und gleichzeitig steht jemand vor einem leeren Regal. Beides sind Planungsfehler und beide lassen sich rechnen. Genau das machen wir bei Circly:…
Build, deploy, and scale AI applications using GenAI, LLMs, RAG, and classic ML on Google Cloud and Azure, while automating data pipelines and model monitoring for enterprise clients.
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.
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.
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…
Leads a Risk Data Science team at a bank, building credit-risk models (PD, LGD, scoring), fraud detection, and early-warning systems using Python, ML, and SQL.
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.
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