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Build and ship AI-native features for a product-analytics platform, including RAG pipelines, agentic workflows, and LLM-powered tools, from prototype to production while owning reliability and cost at scale.
Leads AI-driven SDLC modernization for enterprise clients, designing and deploying generative AI agents for code review, testing, and incident response while mentoring engineering teams.
Develops AI-driven neuromonitoring software integrating LLMs into medical devices, ensuring clinical reliability, performance optimization, and regulatory compliance for brain disorder diagnostics.
Develops and evaluates AI-powered visual editing tools (GemPix/Gemini) for Google Workspace, focusing on model quality, metrics, and automated evaluation systems for image generation/editing features.
Technical Product Manager bridges AI capabilities, user needs, and system constraints to design and refine AI-native email triage tools, ensuring reliable, high-quality workflow automation with agentic AI and permission-based actions.
Develop AI-driven automation frameworks and testing strategies, integrating Generative AI and LLMs to validate platform services and APIs for the convenience retail and petroleum industries.
Senior Product Manager for AI Risk Strategy at OKX, owning end-to-end risk control for Buy/Sell Crypto products using AI (LLMs, AI Agents) to prevent fraud and optimize review operations.
Mid Data Scientist crafting data-driven solutions, developing analytical and ML models using Python, SQL, ML tools (MLflow, W&B, Databricks ML), cloud ML platforms (Azure ML, AWS SageMaker, GCP Vertex AI), and data visualization tools (Matplotlib, Seaborn, Plotly, Power BI, Tableau).
The Product Manager for AI Entities will lead the development of scalable AI data infrastructure and extraction systems to convert unstructured legal documents into structured data. This role involves close collaboration with ML and backend engineering teams to optimize model performance, RAG services, and data pipelines.
Build backend platforms for model evaluation tooling that integrates robotics, generative AI, and data analysis using Python, Kubernetes, and cloud-native infrastructure.
Develops and deploys AI/ML models (classification, NLP, CV, time-series) for business use, using Python, TensorFlow/PyTorch, and cloud platforms like AWS SageMaker. Focuses on MLOps (Docker, MLflow, Kubernetes) and cross-team collaboration to solve real-world problems with automation and predictive analytics.
Lead AI and data science projects for a large insurer, building ML and generative AI solutions to drive business insights and strategic decisions while mentoring junior team members.
Build and deploy Generative AI systems for RBC Capital Markets sales teams, focusing on client intelligence, deal summarization, and real-time conversation analysis using Python, LLMs, and RAG.
Design and implement AI/ML features for cybersecurity solutions, focusing on autonomous systems, multi-agent workflows, and production pipeline management for the Trend Vision One platform.
Summary The Senior Machine Learning Engineer, AI Evaluation builds and operates the measurement and engineering infrastructure supporting the organization's Applied AI Research (AAIR) function, a continuous…
Higgsfield AI is seeking a Machine Learning Engineer to build and optimize advertising systems that integrate generative AI for creative generation and performance targeting. The role involves developing production-scale ML models for ranking, recommendation, and creative optimization while working in a hybrid capacity in San Francisco.
Product Manager owning the end-to-end product data ecosystem, ML evaluation frameworks, and A/B testing strategies for AI-driven enterprise products, working cross-functionally with Engineering and Data Science teams.
Own the AI Quality Platform roadmap: build LLM evaluation frameworks, observability tools, and benchmarks to measure and improve AI model performance and reliability for enterprise applications.
Intern building RPA pipelines and solutions, labeled datasets, monitoring dashboards, and deploying AI use cases including chatbot evaluation at a large insurance company.
Builds and deploys ML models (traditional, NLP, GenAI) for fintech/government clients, focusing on data pipelines, feature engineering, and model monitoring in Databricks/Azure.
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