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Build and own production ML/AI components for Amgen’s AI Studio, including GenAI, RAG, and retrieval systems, using Python, SQL, and cloud services.
Senior ML engineer building and scaling enterprise-grade AI/ML platforms, MLOps pipelines, and GenAI services for a global biotech company.
Build and deploy production ML and GenAI components—models, RAG systems, agents, and pipelines—using Python, SQL, and cloud services to power Amgen’s healthcare-focused AI products.
Senior ML engineer building and scaling enterprise-grade AI/ML and GenAI platforms, including MLOps pipelines, model services, and full-stack applications for Amgen’s healthcare data needs.
Build, deploy, and monitor ML models and MLOps pipelines on AWS for forecasting and GenAI apps in a biotech setting.
Principal Software Engineer at Northrop Grumman designing, developing, and modernizing secure messaging and cross-domain solutions for national defense using C, C++, Java, and DevSecOps practices.
Build and maintain secure, AI-powered tools for application security at a major bank, using Python, REST APIs, and cloud platforms to automate security processes and mentor teams.
Builds and maintains scalable data pipelines, feature stores, and ML infrastructure for RBC’s AI-driven underwriting; specializes in PySpark, cloud (AWS/Azure), DevOps, and data governance to support risk analytics and regulatory compliance.
Lead a team to build and maintain scalable data pipelines, feature stores, and MLOps solutions for AI-driven credit underwriting at a major bank, using Python, PySpark, and cloud platforms.
Senior AI Engineer designs and deploys LLM agents and AI/ML pipelines for enterprise clients, leading full-stack integrations and mentoring teams while bridging technical and business domains.
Senior AI Engineer designs and deploys AI-powered solutions for clients, leading integrations, architecture, and mentoring teams while bridging technical and business needs.
Build and deploy agentic AI, LLM, and NLP systems for CPG use cases, including RAG workflows, ontologies, and evaluation pipelines.
Build and operate ML infrastructure for drug-discovery models, deploying GPU-backed services, LLMs, and agentic workflows on AWS/Kubernetes while ensuring reliability, observability, and lifecycle management.
Build, train, and deploy AI models (ML, DL, generative, RAG, agents, computer vision) in Python, then wrap them in APIs for production use.
Lead data science and AI initiatives to enhance Merck’s quality oversight systems, focusing on analytics and technology-driven solutions.
NexTex AI is a Berlin deep-tech startup building an AI intelligence layer for textile manufacturing. Join the founding team to build scalable backend, cloud and edge-to-AI infrastructure. Tasks • Design and develop…
Designs and deploys production-grade generative AI systems on Databricks for enterprise clients, focusing on RAG pipelines, LLM orchestration, and vector search while leading technical delivery.
Design and build scalable GenAI and AI agent solutions in Python/Java/JavaScript, deploying on GCP to solve complex business problems end-to-end.
Builds and deploys autonomous AI agents, multi-agent systems, and generative AI solutions using frameworks like LangChain, AutoGen, and Azure OpenAI to automate enterprise workflows, enhance decision-making, and deliver scalable AI-driven business value.
Build and deploy AI-driven products to accelerate clinical trials and improve patient outcomes using LLMs, NLP, and MLOps on AWS.
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