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Build and deploy LLM-powered multi-agent systems using Google ADK or LangGraph, focusing on RAG, tool use, orchestration, and production-grade reliability.
Oversee multi-billion-dollar semiconductor construction projects across South Asia, coordinating EPCM delivery, cost controls, and commissioning while driving global best practices and AI-enabled process optimization.
Develop Python tools and libraries to optimize, deploy, and benchmark neural networks for embedded and mobile devices, contributing to open-source AI frameworks like PyTorch or TensorFlow.
Design and build AI-driven applications using cloud and on-prem pipelines, integrating generative AI models like LLMs into production-ready solutions.
Build and deploy AI/ML applications using cloud AI services, generative models, and deep learning. Design production-ready pipelines and integrate solutions like chatbots and image processing.
Build production-ready AI systems using cloud AI services, generative models, deep learning, and neural networks for enterprise applications.
Build production-grade AI systems using LLMs, deep learning, and cloud AI services, including GenAI models, chatbots, and image processing.
Build and deploy generative AI models, NLP systems, and deep-learning pipelines on cloud platforms to power business decisions and conversational AI.
Build and deploy AI/ML applications using cloud services like Amazon SageMaker, integrating generative models and deep learning into production pipelines.
Design and deploy AI/ML applications using cloud services and GenAI models, including deep learning, neural networks, and chatbots, in a production environment.
Role Purpose The Assistant Manager – AI & Machine Learning will support the development of advanced analytics and AI-driven solutions to enhance digital banking performance, customer engagement, and marketing…
Build fraud-detection models and analytics using Python, R, and SQL to uncover patterns in structured/unstructured banking data and advise business leaders on risk strategies.
Lead a team of Data Scientists and ML Engineers building AI-powered financial-market solutions using LLMs, Generative AI, and advanced ML, from concept to production.
Builds and maintains AI data infrastructure for Figure’s humanoid robotics, handling large-scale data pipelines, storage, and compute across on-prem and cloud environments.
Lead the development and optimization of AI/ML models (CNNs, Vision Transformers, LLMs) for AMD’s next-gen compute platforms, including compiler toolchains and performance tuning.
Principal engineer building scalable digital applications for a healthcare company, leading architecture decisions and mentoring teams using modern stacks like Java, Python, React, and cloud platforms.
Develops advanced AI models for clinical simulations and drug development, focusing on transformers, foundation models, and biomedical data analysis to predict patient outcomes and optimize trial design.
A junior consultant builds and deploys AI/ML models (e.g., recommender systems, GenAI agents) for clients, bridging data science and business strategy. Core tech: Python, cloud platforms (AWS/Azure/GCP), ML frameworks (PyTorch/TensorFlow), and data visualization tools.
Advise clients on data challenges, design scalable AI solutions, and build production-ready ML pipelines using cloud platforms and frameworks like PyTorch.
Design and build AI-powered applications using generative models, deep learning, and cloud pipelines. Integrate GenAI into production-ready systems while collaborating with cross-functional teams.
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