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Build and optimize AI-driven simulation models for engineering and manufacturing, scaling deep learning and distributed training across cloud and on-premise systems.
Build AI-driven simulation models to predict physical system behavior for engineering and manufacturing, using deep learning and probabilistic methods in Python.
Design and build enterprise-scale Generative AI systems using LLMs, RAG, and vector databases; lead cross-functional teams to deploy models like GPT-4 and Llama3 on AWS/Azure.
Lead a team building and deploying enterprise-scale ML pipelines and data platforms for JPMorgan Chase, using AWS, PySpark, TensorFlow, and responsible AI practices.
Build and maintain a bioinformatic web platform and cloud infrastructure for a biopharma company, using Python, JavaScript (Svelte), PostgreSQL, Docker, GCP, and CI/CD pipelines.
Develops and optimizes inference software for large language models using TensorRT-LLM, focusing on performance and scalability across platforms.
Researches and evaluates emerging AI models and technologies to guide enterprise strategy, producing benchmarks and recommendations on adoption and deployment.
Build and deploy ML systems for sports-tech products, including recommender engines, NLP, LLM apps, and semantic search, using Python, PyTorch, and SQL at scale.
You’ll mentor developers and researchers on NVIDIA’s AI stack, run hackathons, and create training materials to help teams adopt accelerated computing for generative and agentic AI workloads.
Intern researching and implementing AI/ML algorithms for embedded systems and edge devices using C/C++ and Python, with a focus on time-series models.
Build and deploy deep learning models in Python/PyTorch, integrate them into cloud-hosted software pipelines, and assist with data ETL for healthcare applications.
Build and maintain Python-based web scrapers and OCR pipelines to extract structured data from retail and CPG portals, deploying on AWS.
Senior ML Engineer builds and scales recommendation systems, productionizing models with PySpark, Airflow, and AWS SageMaker for real-time and batch inference.
Own the AI product vision for Covestro’s R&D platform, translating chemistry expertise into AI tools that ideate, recommend, and execute alongside scientists to accelerate materials innovation.
Lead AI-driven time-series modeling and Agentic AI deployments for semiconductor manufacturing and facilities operations, building anomaly detection and forecasting systems at enterprise scale.
Build and maintain low-level drivers and firmware for NVIDIA’s Deep Learning Accelerator hardware, optimizing performance for AI workloads in self-driving cars, gaming, and content creation.
Build and deploy production-grade AI systems using LLMs, RAG, and multi-agent workflows to power enterprise applications at a major retailer.
Build and deploy AI-driven travel systems: optimize airline pricing, automate agency workflows, and enhance GDS operations using ML, generative AI, and MLOps on GCP.
Lead AI-driven drug discovery for low molecular weight therapeutics, designing and deploying ML models to accelerate molecular design and lab-in-the-loop experiments.
Build and deploy large-scale AI/ML models to optimize Amazon Prime’s customer experience using GenAI, LLMs, and reinforcement learning on TB-scale data.
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