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Amazon Principal Data Scientist, AWS Analytics Engineering (AAE)
Principal Data Scientist at AWS leading multi-year AI/ML analytics strategy to drive product growth across Compute, GenAI, Database, and Storage services.
Associate Director, Data Scientist
Lead AI initiatives for drug discovery and clinical operations, designing and deploying generative AI, RAG systems, and agentic workflows while managing contractors and ensuring responsible, production-ready AI systems.
Associate Director, Data Science
Lead data-science strategy and execution for drug development, applying AI/ML and advanced analytics to clinical, omics, and biomarker data to inform clinical decisions and regulatory strategy.
Associate Director, Data Scientist
Lead AI initiatives for drug discovery and clinical operations, designing generative AI systems, RAG pipelines, and agentic workflows to accelerate research and development in a regulated healthcare environment.
Senior HPC DevOps Engineer, NCS
Build and maintain large-scale HPC/AI clusters, automate deployments with IaC and CI/CD, and optimize GPU computing workflows for NVIDIA’s cutting-edge systems.
Senior Product Manager – AI Inference Performance
Own the AI inference performance roadmap at NVIDIA, turning deep optimization techniques into products that improve latency, efficiency, and cost per token across the inference stack for LLM deployments.
RPA Analyst II
Designs, builds, and maintains RPA bots and AI-driven automations using Python, VBA, and ML techniques to streamline workflows and cut costs.
AI/ML Compliance Lead
Lead AI/ML compliance and validation in a regulated pharma environment, ensuring GMP-aligned systems meet quality and security standards while collaborating with data science and IT teams.
Sr Data Scientist, Pricing (Deep Learning & Demand Forecasting)
Lead pricing and demand-forecasting models using deep learning and time-series techniques to optimize product pricing and promotions for a large retail chain.
Data Scientist
Designs and builds data models and algorithms to improve NXP’s semiconductor operations, using Python, C/C++, and ML techniques to analyze manufacturing and business data.
Data Scientist
Build ML models to optimize semiconductor manufacturing quality and detect issues early using Python, PyTorch, and SQL.
Staff AI Engineer- (Global Security)
Build AI-powered security tools using LLMs and Python to automate cyber incident response workflows and integrate bank systems with agentic AI.
Senior Software Engineer, AI
Build and deploy production-grade AI systems, including LLM-powered agents and analytics, to enhance customer experience and workforce productivity.
Senior Data Scientist
Design and implement AI/ML solutions for pharmaceutical manufacturing, integrating real-time data with cloud MLOps and ensuring regulatory compliance while mentoring teams.
Senior AI Engineer
- Design, build, test, and deploy robust and scalable AI/ML models and applications. Take ownership of features from initial concept through to production and ongoing maintenance. - Contribute to the technical and…
Staff Machine Learning Engineer
Develops and optimizes 2D traffic sign detection models for autonomous driving using PyTorch, TensorRT, and ONNX, from data curation to edge deployment.
Staff Research Scientist, AI Safety
Biohub is the first large-scale initiative bringing frontier AI models, massive compute, and frontier experimental capabilities under one roof. We're building a general-purpose system to accelerate scientific…
Principal Computer Vision Engineer: AI Vision&MLOps Leader
Lead AI vision and MLOps projects for automated agriculture and industrial solutions, designing deep learning models and end-to-end data pipelines for edge and cloud deployment.
Senior Data Scientist, AI & Smart Manufacturing
Build AI/ML models and data pipelines to optimize semiconductor manufacturing quality, yield, and efficiency using terabytes to petabytes of production data.
Senior Data Scientist (Gen AI & Machine Learning)
Design and deploy GenAI and ML models for enterprise/public-sector projects using Python, Spark, LLMs, Docker and Kubernetes.