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Senior engineer designing and building scalable backend infrastructure for Coupang’s e-commerce platform using Java, AWS, Kubernetes, and Kafka.
The Senior Software Engineer will lead the migration of clients from a legacy Java/Groovy/Oracle stack to a modern Python-based architecture on AWS. The role involves building scalable data pipelines, managing cloud infrastructure, and integrating AI/analytics capabilities using tools like Snowflake and Mage AI.
About World Labs World Labs is a frontier AI research and product company advancing spatial intelligence, the next frontier beyond large language models. Co-founded by Dr. Fei-Fei Li, Justin Johnson and Ben Mildenhall,…
The Data Engineer will design and implement data architectures and automation tools to support U.S. Army GEOINT intelligence requirements. The role involves working with Python, R, Java, and other languages to manage data integration and analysis for mission-critical operations.
Build and scale ML systems, MLOps, and agentic AI workflows for a leading Thai food platform, integrating models into production via APIs and microservices.
Build and productionize ML and GenAI solutions for Manulife's actuarial, finance, and treasury functions, translating business problems into predictive models, retrieval-based GenAI systems, and agentic workflows using Python, SQL, Spark/Databricks, and modern ML frameworks.
Build and deploy enterprise-grade Agentic AI systems, LLMs, and Generative AI solutions for autonomous workflows in investment banking and global markets.
Builds AI-powered full-stack applications by integrating ML models into scalable cloud-based systems, bridging frontend, backend, and DevOps workflows.
Designs and scales AI-native systems (LLMs, agentic workflows) as a senior architect, defining architecture standards and leading technical delivery for healthcare clients.
Design and deploy AI models that process high-frequency sensor data from IoT devices to enable real-time automation in physical infrastructure systems.
The Senior AI/ML Engineer will work within an MLOps team to deploy, monitor, and optimize machine learning models in production environments. The role involves building CI/CD pipelines and collaborating with data scientists using cloud platforms like AWS, GCP, or Azure.
Senior AI/ML Engineer on an MLOps team, deploying and monitoring machine learning models in production on cloud platforms using Python, CI/CD pipelines, and ML frameworks like TensorFlow and PyTorch.
Lead a team to design, build, and deploy AI/ML systems including LLMs, RAG, and agentic workflows, setting engineering standards and ensuring production-grade reliability and governance.
Oversee facility and personnel security for a government-focused tech firm, ensuring compliance with NISPOM and handling clearance processing, audits, and classified material controls.
The Lead Machine Learning Engineer will build and maintain distributed training pipelines, model monitoring systems, and ML frameworks to support digital banking services. The role focuses on scaling machine learning workflows using technologies like Python, PyTorch, TensorFlow, Ray, and Spark.
Lead Software Engineer on JPMorgan Chase's AIML Data Platforms team, designing and operating cloud-native infrastructure (AWS, Kubernetes, Terraform) that enables data scientists and ML engineers to train and deploy models at scale.
Leads a GenAI team to develop fraud detection models and AI-driven solutions, blending technical expertise in Python, LLMs, and MLOps with leadership to scale data science initiatives in fintech.
Designs and implements scalable data science algorithms to drive business insights for P&G’s consumer-focused products, collaborating with cross-functional teams to translate data into actionable recommendations.
Designs and deploys AI/ML solutions using Python, statistical modeling, and frameworks like TensorFlow/PyTorch, covering data analysis, model development, and productionization.
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