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About Us Ropedia is a Singapore-based, early-stage AI startup focused on building the data infrastructure for spatial and physical intelligence. Our core team brings together expertise from Tsinghua, Meta, Google, and…
Builds and maintains predictive models, dashboards, and analyses using Python, R, SQL, and visualization tools to drive business decisions in a safety-focused product company.
Lead AI initiatives for banking clients, designing GenAI chatbots and automation workflows using Microsoft AI tools and LLMs, while setting governance and upskilling teams.
Build and deploy multi-agent AI systems, multimodal pipelines, and RAG/Graph-RAG for fintech use cases using Python, PyTorch, and Databricks.
Maintain and optimize core ML systems for a large FTSE 100 company, debugging data flows and forecasting models using Python, GCP, and Vertex AI.
Lead a team of engineers to design, build, and deploy AI and automation solutions for Amgen’s AI Studio, turning business challenges into scalable, production-ready products with measurable impact.
As a Senior Associate Data Scientist at Capital One, you’ll work on operational risk management, using Python, AWS, Spark, and machine learning to analyze large datasets, build predictive models, and deliver insights to senior executives to improve risk management and operational efficiency.
Build and deploy AI-first contract intelligence features using LLMs, RAG, agentic workflows, and knowledge graphs to automate and accelerate deal-making for enterprise customers.
Build and deploy large language models for financial workflows, optimizing training and serving to improve agent efficiency and customer experience in banking systems.
Own the product backlog for AI-powered medical software that guides surgical workflows using image processing and deep learning, collaborating with cross-functional teams to deliver regulated healthcare solutions.
Build and optimize GPU kernels and inference frameworks (e.g., vLLM) to accelerate large language model serving, integrating research into production-grade, open-source software.
Leads AI/ML engineering for Accenture, designing and deploying large-scale LLM and deep-learning solutions on Azure using Python, .NET, and cloud-native architectures while mentoring teams and driving technical strategy.
A data scientist in early oncology R&D analyzes large-scale biological datasets (e.g., biobanks, genomics) to identify therapeutic targets, biomarkers, and immune system aging patterns using Python/R, ML, and statistical genetics.
Lead the architecture and delivery of ML and GenAI platforms for JPMorganChase’s Home Lending, turning prototypes into production systems and mentoring AI engineers.
Build and optimize large language models for financial services, focusing on LLM-based methods, training pipelines, and production deployment to improve customer workflows and agent efficiency.
Build and scale deep-learning infrastructure for autonomous-vehicle training, optimizing multi-thousand-GPU clusters, distributed training, and massive video datasets.
Postdoctoral Fellow in Imaging Data Science develops and applies advanced MRI techniques and deep learning for preclinical brain research, analyzing data and publishing findings in a multidisciplinary lab.
Lead AI/ML teams to design, build, and deploy scalable machine-learning models and agentic architectures for enterprise clients using cloud AI services.
Annapurna Labs stands at the forefront of hardware/software co-design, leading innovation not just within Amazon Web Services (AWS) but across the entire industry. We design and build every component of our hardware…
Lead the design and deployment of advanced AI/ML models and statistical solutions for government missions, working on-site to extract insights from complex datasets using Python, R, and SQL.
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