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AI Engineer designing and deploying AI/ML solutions on Azure (Azure ML, Cognitive Services, Synapse) to optimize tax, audit, and advisory workflows at a large CPA and advisory firm.
Builds and optimizes automated testing infrastructure, CI/CD tooling, and developer workflows to accelerate high-quality software delivery at scale, collaborating closely with DevOps and engineering teams.
The ML Developer will build and scale machine learning models and data pipelines for Sber's behavioral science laboratory. The role involves fine-tuning LLMs, designing RAG architectures, and deploying production-ready AI solutions using a stack including Python, FastAPI, and various MLOps tools.
Senior Product Counsel advises AI/ML product teams on legal risks, compliance, and regulatory matters for healthcare-focused AI models, ensuring responsible deployment while shaping company policy on emerging AI governance.
Builds and scales AI-powered fintech integrations at Plaid, focusing on backend APIs, LLM-driven features, and customer-facing AI agents to enhance financial data access and automation.
Builds, deploys, and integrates AI/ML models to analyze customer behavior, optimize operations, and enhance business workflows using Python, SQL, and MLOps/LLMOps frameworks.
Build AI-powered HR tools and automations to streamline people operations, integrating systems like Workday and Salesforce using Python and LLMs.
Build and deploy AI systems for edge and embedded environments, from R&D to production, focusing on model training, evaluation, optimisation, and MLOps to deliver real-world impact in demanding settings.
Designs and deploys advanced AI/ML systems (LLMs, agentic workflows, multimodal models) for government/commercial clients, optimizing for production, edge, and security.
Principal Architect performing consultative discovery with clients to translate business goals into enterprise architectures, driving adoption of AI services (including agentic AI workflows) and cloud migration. Core technologies include AWS (Bedrock, Amazon Q), generative AI platforms (Claude, ChatGPT, Gemini), and agentic frameworks (LangGraph, CrewAI).
Leads a team of ML scientists to develop advanced AI/ML methods for biological research, focusing on cell rejuvenation and disease reversal. Combines hands-on technical work with strategic direction to drive breakthroughs in computational biology.
Builds and maintains ultra-scalable data platforms for Apple’s cybersecurity solutions (anti-phishing, spam, network security), leveraging NoSQL, ML, and big data technologies to process massive volumes of critical data.
Build and productionize AI-powered workflows and ML models for IT management and cybersecurity products, integrating classification, recommendations, and automation into Kaseya’s platform.
Build and own the ML/LLM stack for Spectrum, JetBrains’ AI-powered semantic layer that extracts, organizes, and reasons over code, docs, and issues to keep software systems aligned.
Design and maintain MLOps infrastructure and pipelines to streamline ML model development, training, and deployment for AI-powered developer tools.
Research Engineer building and training large language models from scratch for coding tasks, deploying them into production to power JetBrains' AI platform.
Build and ship production-ready AI coding agents and agentic workflows for JetBrains' developer tools, integrating models like Mellum2 and open-weight models into real development environments.
Build and deploy generative AI and ML solutions for federal clients, from RAG pipelines to agentic workflows, while standardizing reusable recipes and best practices for Snorkel’s tooling.
Build and refine AI-driven security testing for cloud apps: write detection rules, simulate attacks, and reduce false positives to protect Fortune 100 infrastructure.
Senior Product Manager for 'New Bets' at Heidi, an AI-driven healthcare startup. Owns end-to-end product development for new healthcare solutions, from problem framing and prototyping to piloting and scaling. Works closely with clinicians to validate ideas, kill underperforming bets, and launch successful products in healthcare.
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