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Master Thesis Application of Physics-Informed Machine Learning for Grid-Tied Inverter Control
Master thesis role developing a physics-informed AI controller for grid-tied inverters, comparing linear/predictive baselines and researching AI-based implementations.
Associate Machine Learning Engineer
Build and deploy ML models for finance datasets using Python, Spark, and cloud platforms; collaborate with data scientists to deliver scalable AI solutions in healthcare.
Senior AI / Machine Learning Engineer
Build and deploy large-scale AI models (LLMs, diffusion, GNNs) for biomedical discovery, owning end-to-end training pipelines and distributed systems.
Member of Technical Staff - Low Level & Kernels Capabilities
Build low-level reinforcement learning environments targeting hardware features like GPUs, FPGAs, and vector ISAs to stress-test AI models, using C/C++/CUDA and Python.
Machine Learning Engineer
Build and optimize ML models to enhance Altera’s FPGA compiler, focusing on timing closure, resource utilization, and power efficiency using PyTorch/TensorFlow.
Executive Director, Machine Learning & Gen AI Platforms (Home Lending)
Lead the architecture and delivery of ML and GenAI platforms for JPMorganChase’s Home Lending, turning prototypes into production systems and mentoring AI engineers.
Product Manager - Fraud AI/ML
Leads the development of AI/ML-driven fraud prevention platforms at JPMorgan Chase, defining strategy for fraud models, graph intelligence, and MLOps to detect fraud rings and reduce losses while maintaining customer experience.
Data Scientist
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.
Lead Full Stack Developer
Lead a team building full-stack APIs and UIs for ML infrastructure using Python, FastAPI, React, and Kubernetes, integrating with MLOps and deploying to cloud platforms.
Senior Software Engineer, Simulation & World Models
Build and optimize high-performance simulation systems in C++ to test and validate autonomous trucking software, integrating AI-driven scenario generation and reinforcement learning for scalable virtual environments.
AI Platform Engineer
Build the full-stack platform, SDK, and UX for enterprise AI agents, including sandboxing, workflow capture, and observability tools.
Applied AI Engineer
Build AI-driven cybersecurity tools by developing agentic systems, LLMs, and ML models to detect and respond to threats for SOC/SIEM/SOAR platforms.
Software Engineer, Content Safety, AI Transformation Enablement
Build and deploy AI-driven content safety systems that protect users from harmful content using ML pipelines, agentic flows, and robust validation gates across Google’s products.
Senior Software Engineer, Operations Research and Gemini
Build optimization tools and evaluation frameworks to improve Google’s Gemini AI model, including datasets, reward functions, and agentic harnesses.
AI Backend Software Engineer II - AI Application Platform
Build and scale the backend platform that powers AI-driven travel experiences, integrating LLMs, vector search, and agentic systems for millions of users.
Machine Learning Engineer, Motion Planning, Self-Driving
Develop machine learning models for self-driving car motion planning using Python, deep learning frameworks, and C++, and deploy them to Tesla's vehicle fleet.
Principal Machine Learning Engineer - Applied AI & LLMs (x/f/m)
Principal Machine Learning Engineer at Doctolib in Paris designs and standardizes AI/ML systems across healthcare applications, focusing on LLMs, agentic solutions, and regulatory compliance.
Senior Staff Machine Learning Engineer - Clinical - AI Teams (x/f/m)
Leads the technical direction of AI systems for clinical decision-making and patient care, including LLM-powered tools and evaluation frameworks, in a regulated healthcare environment.