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Builds AI-native drug-discovery software: data pipelines, APIs, MLOps, and lab-automation integrations that power scientists and autonomous agents.
Lead a team to deploy AI models onto embedded devices, optimizing software for hardware constraints and ensuring scalable, secure execution of AI workloads in real-world systems.
Designs AI/ML architectures and data pipelines for AWS SageMaker, collaborating with data scientists and DevOps teams to build scalable LLM and ML solutions, including training, deployment, and model management tools.
Designs and maintains an internal AI/ML/LLM platform, including Kubernetes infrastructure, and builds production ML workflows for security and compliance use cases.
Builds AI-enabled systems for semiconductor automation, integrating backend/full-stack development, data engineering, and machine learning to support intelligent manufacturing workflows.
Lead a team building scalable AI/ML pipelines and cloud-native services to extract financial insights from documents, using Python, LLMs, and AWS/Azure/GCP.
Design and deploy AI agents to enhance JD.com's e-commerce and logistics platforms using machine learning, NLP, and reinforcement learning.
Designs and builds autonomous AI-driven data systems using LLMs, agent frameworks, and AWS services to power scalable, self-orchestrating pipelines and decision-making applications.
Builds and integrates AI capabilities into wealth-management software, automating pipelines and collaborating with platform teams to deliver secure, scalable AI solutions.
Senior Data Science & AI Engineer builds and deploys AI-powered analytics and automation for aerospace manufacturing, integrating LLMs, RAG, and MLOps pipelines to improve operational decision-making and efficiency.
Designs and delivers enterprise-scale AI platforms for a major bank, focusing on cloud-native GCP solutions, MLOps/LLMOps, and secure generative AI deployments.
Build and deploy NLP and generative AI models to improve public services, focusing on evaluation, experimentation, and production integration using Python, SQL, and cloud AI services.
Build and deploy fraud-detection models and GenAI/LLM solutions using Python, Spark, and cloud platforms to protect credit data and financial transactions.
Senior engineer building and operating production-grade generative AI systems (RAG, agents, copilots) for a large investment firm, integrating with enterprise data and MLOps tooling.
Lead a team building and deploying production-grade AI systems—like copilots and agentic workflows—while coding end-to-end solutions that integrate with enterprise data and meet regulatory requirements in a large financial firm.
Designs and sells AI-powered software solutions for clients, estimating effort and guiding delivery while enabling teams to adopt AI-assisted development tools and practices.
Principal AI/ML Engineer defines enterprise-wide AI architecture, standards, and roadmap, leading large-scale LLM, Agentic AI, and MLOps/LLMOps platforms.
Build and maintain Snowflake-based data platforms and AI pipelines in Python/Azure to power analytics, automation, and ML-driven insurance products for a UK digital insurer.
Lead a team to build and deploy scalable ML models and analytics pipelines in AWS for media and entertainment use cases like audience analysis, content performance, and marketing optimization.
Build and deploy enterprise-scale AI/ML models to improve operational efficiency and customer outcomes, working with engineers and product teams to move solutions from concept to production.
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