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Build and maintain end-to-end data pipelines for reinforcement-learning systems, ensuring high-quality training data and collaborating with cross-functional teams.
Build and integrate application-level software for humanoid robots, connecting control, navigation, perception, and learning systems in C++/ROS2.
Evaluates and refines AI-generated educational content by analyzing datasets, verifying claims, and creating training scenarios to improve large language model accuracy.
Build AI agents that automate cybersecurity workflows by reasoning over enterprise data to prevent breaches, using LLMs and agentic systems.
Design and implement scalable data-science models (ML, optimization, simulation, generative/agentic AI) in cloud environments, then productionize them with engineering teams to drive business impact.
Lead Apple’s AI evaluation framework, defining metrics and methodologies to validate next-gen AI models across modalities and shape product roadmaps.
Build and deploy LLM-driven AI agents and generative solutions using Azure OpenAI, LangChain, and Hugging Face, focusing on RAG pipelines, multi-agent systems, and responsible AI.
Build and deploy enterprise-grade AI systems for clients, leading from prototype to production with LLMs, RAG, agents, and MLOps in regulated environments.
Senior AI engineer embeds and deploys enterprise-grade AI systems for clients, building LLM/RAG pipelines, agents, and ML models while navigating compliance and legacy systems.
Lead AI Engineer builds agentic AI systems, RAG pipelines, and fine-tuned language models while ensuring security and compliance for a banking-focused AI product.
Responsibilities About the Team We are dedicated to building the training infrastructure for ultra-large-scale language models, vision-language models, and frontier agentic models. Our mission is to provide a robust,…
Build and maintain AI-driven debt collection models using machine learning and reinforcement learning in Python, collaborating with cross-functional teams to deliver measurable business impact.
Build and ship production-grade AI systems—LLM apps, RAG pipelines, and multi-agent workflows—into Nexthink’s cloud platform while defining evaluation, MLOps, and scalable cloud architectures.
Education and Work Experience Requirements: · 5 to 8 years of experience as Data Scientist· 2 to 3 years of experience in Generative AI solution development· Strong understanding of AI agent collaboration, negotiation,…
Lead a team to build and deploy large language model applications, fine-tune models, and design RAG systems for mission-critical government use cases.
Technical Program Manager to lead cross-functional teams in automating manufacturing processes and improving product development using AI/ML and statistical analysis.
Builds recommendation algorithms and retrieval systems to improve user engagement and personalization for Walmart’s platform, leveraging applied ML, reinforcement learning, and information retrieval techniques.
Researcher builds and deploys time-series forecasting models for quant-finance strategies using reinforcement learning; core stack includes Python, PyTorch, and Scikit-Learn.
Build and deploy AI models and agents at scale using Python, GCP, and MLOps pipelines to improve JYSK’s operations and customer experiences.
Conductor Quantum is building quantum superintelligence. Quantum superintelligence is an AI that uses quantum computers to surpass the capabilities of humanity's greatest minds. We are closer to that inflection…
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