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Designs and deploys evaluation frameworks to measure, improve, and monitor LLM systems in production, focusing on response quality, robustness, and operational reliability. Specializes in constrained/local models, adversarial testing, and predictive analytics for IT operations.
Builds secure, high-performance backend services and APIs that deliver AI-driven insights to clients in critical industries like healthcare, utilities, and infrastructure.
BURNT Member of Technical Staff AI/ML Engineer (MLOps-Focused) Location On-site, San Francisco · Experience 5–7 years · Compensation $150,000–$275,000 + equity About Burnt Burnt isn't building software on top of…
Build and productionize predictive models to forecast shrink and damages for a large retail chain, using Python, SQL, and PySpark to automate analytics workflows and deliver insights to business stakeholders.
Senior Quantitative Analyst at Ohme designs and builds energy-trading models, forecasts demand, and optimizes EV-charging strategies using Python and market data to drive commercial decisions in the UK/EU electricity market.
Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing…
Build and optimize large-scale deep learning models and data pipelines, focusing on sequence and time-series architectures, using Python, PyTorch/TensorFlow, and MLOps practices.
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.
Product Data Analyst transforming complex data into actionable insights to shape strategy using SQL, Snowflake, Metabase, dbt, Evidence, and AI tools in healthcare/wellness.
Join RBC Borealis as a Machine Learning Researcher, developing novel AI solutions (generative AI, NLP, time series analysis) using Python and deep learning tools, with access to massive datasets and computational resources.
Lead a team of ML engineers to architect and deliver AI solutions for financial services, focusing on Gen AI and ML systems while providing technical direction and hands-on support.
Build and improve classical ML models for anomaly detection and classification in physical measurement data using Python and scikit-learn.
Build and scale an AI-powered conversational investment research platform (Floyd) using LLMs (OpenAI, Google Gemini, Anthropic Claude) to automate complex workflows for pension fund analysts. Own end-to-end development, from agentic system design to production deployment, while collaborating closely with investment teams to refine and adopt AI tools.
The Staff AI Platform Engineer will design and maintain a secure, scalable platform for deploying autonomous AI agents across multi-cloud environments like AWS, Azure, and OpenShift. The role involves building platform capabilities for observability, identity, and runtime orchestration while mentoring engineering teams.
As a Machine Learning Research Engineer at RBC Borealis, you’ll build ML-based software solutions, collaborate with stakeholders, prototype algorithms, and integrate them into products using Python 3.x, PyTorch, JAX, or Tensorflow, focusing on generative AI, NLP, and time series analysis.
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.
The Algorithm Expert will design and implement foundation models for financial behavior sequences to power risk-control systems for DiDi's global fintech business. The role involves building pre-training pipelines, multi-source sequence modeling, and deploying models for fraud detection and credit scoring.
Designs and builds metadata and lineage integration systems to enable AI agents to securely access and analyze regulated financial data. Core focus: Python-based data pipelines, event-driven architectures, and AI-assisted metadata management in a global investment firm.
DevOps IoT Engineer – M2M ¿Tiene su CV preparado? Si es así y confía en que este es el puesto ideal para usted, asegúrese de enviar su solicitud lo antes posible. Verisure, operating under two brand names (Securitas…
Build modern web dashboards and workflow UIs for MUFG’s automation platform, replacing manual Excel processes with secure, scalable front-end solutions using JavaScript and Node.js.
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