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Data Analyst at Mercedes-Benz analyzes business data to drive decisions, build visualizations, and support data-driven products in mobility-focused teams.
Embed within client teams to design and deploy scalable data platforms, ML pipelines, and GenAI workflows using Python, Spark, and cloud-native tools.
Build and optimize generative AI systems, focusing on RAG pipelines, LLM evaluation, and enterprise-scale deployments to improve retrieval quality and reduce hallucinations.
Design and test defenses for AI systems against adversarial attacks and data poisoning, using PyTorch and LLM architectures while collaborating with cybersecurity teams.
Build and deploy production-grade agentic AI and LLM applications for APAC enterprises, including RAG pipelines, multi-agent systems, and ML services across cloud and air-gapped environments.
Build and optimize an AI-powered German translation system for Joybuy’s cross-border e-commerce platform, ensuring accurate, culturally adapted product and marketing content.
Build and scale AI-driven features for iGaming, including generative AI, voice AI, agentic systems, and RAG pipelines using Python, LLMs, and cloud infrastructure.
Build and deploy NLP/LLM models to automate customer support tasks like intent detection, chatbots, and agent routing for Zendesk’s AI-powered CX platform.
Build and deploy AI/ML models and generative AI workflows for clients across ASEAN, using Python, cloud platforms, and modern frameworks.
Principal Architect at JPMorganChase designs and evolves cloud-based platforms that power the firm’s AI capabilities, ensuring scalable, resilient, and secure foundations for model training and inference across hybrid environments.
Build and optimize AI systems for customer service automation using LLMs, prompt engineering, and RAG pipelines to improve interactions and efficiency.
Build and run a full-stack AI platform: React/TypeScript web app, Postgres telemetry, LLM fine-tuning and vLLM serving, plus MQTT/BMS integrations for heat-network decarbonisation.
AI Applications Engineer – Remote Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. This is a…
Designs and leads prompt engineering strategies, reusable patterns, and evaluation frameworks for building scalable LLM-powered applications and agentic workflows.
Build cloud-native life-sciences apps with AI at their core, leading full-stack React/Django development, AI integrations, and DevOps on AWS/Azure/GCP.
Build and deploy computer-vision models using deep learning frameworks like PyTorch/TensorFlow to classify images, detect objects, and segment scenes for AI applications.
Lead generative AI and LLM projects for JPMorgan Chase, building retrieval-augmented systems, evaluations, and production pipelines using Amazon Bedrock and Cortex to improve banking operations.
Develop and optimize AI models for customer service automation using prompt engineering and fine-tuning, integrating them into production systems to improve interactions and satisfaction.
Security Engineer at Amazon Stores builds secure applications, reviews code (Java/Python/JavaScript), and implements automated security tools to protect critical systems and customer data.
Build and own the AI platform powering legal AI agents and accelerators, including retrieval, orchestration, evaluation, and observability for large-scale document processing in a regulated environment.
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