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A Senior Applied ML/AI Scientist at Faire will design and optimize real-time search and recommendation systems for personalized product discovery, leveraging deep learning (transformers, GNNs) and multimodal signals (text, visual) to enhance retailer and user experiences on a global e-commerce wholesale platform.
Build data pipelines in PySpark/Pandas on Palantir Foundry, analyze data for insights, and create dashboards; prototype ML/LLM solutions with a student-friendly schedule.
Teach and lead research in AI/ML at the University of Manchester, advancing theory and applications while securing grants and publishing in top-tier venues.
Designs and deploys AI models (NLP, computer vision) using Python and frameworks like TensorFlow, then integrates them into scalable cloud services for financial-sector clients.
Experience – 5 to 10 years Work Location - Chennai Work Mode- Work from Office About the Role We are looking for an experienced Data Scientist to join our team and help build the next generation of data-driven…
Internship role designing, building, and deploying ML/AI solutions (LLMs, RAG, agents) for enterprise clients, using Python, cloud platforms, and MLOps tooling.
About Meesho Meesho is India's fastest-growing internet commerce company, on a mission to democratize e-commerce for everyone. We serve millions of customers and over 1.75 million sellers through technology-driven…
We exist to wow our customers. We know we’re doing the right thing when we hear our customers say, “How did we ever live without Coupang?” Born out of an obsession to make shopping, eating, and living easier than ever,…
Designs and builds an AI-driven autonomous supply-chain system that blends deep learning, graph neural networks, and operations research to automate procurement for millions of SKUs.
Lead machine learning initiatives to improve Coupang’s e-commerce search and recommendation systems using advanced algorithms, ML/DL, and large language models.
Leads data science projects, designing and deploying AI/ML models to solve business problems while collaborating with cross-functional teams and ensuring ethical AI practices.
Build and validate deep-learning models for cardiac device data to predict patient risks, using Python, PyTorch, and self-supervised learning in a medtech startup.
Develops backend systems and data pipelines for machine learning tools that optimize semiconductor design and manufacturing processes.
Senior engineer responsible for ensuring the quality of autonomous vehicle software releases by analyzing system-level risks, investigating failures, and driving validation strategies using data-driven insights.
Develops and optimizes C++ software for autonomous logistics vehicles, focusing on safety-critical systems and fleet deployment in a Linux environment.
Owns delivery of edge-AI vision systems for factory quality inspection, coordinating hardware, firmware, AI/ML, and cross-regional launches while making tradeoff calls between scope, quality, and schedule.
Senior ML Engineer builds and optimizes computer-vision models for QSR drive-thru analytics and loss prevention, deploying lightweight AI on edge hardware.
Build and deploy AI agents and multimodal models (text + vision) to modernize smart buildings and infrastructure, using Python, LLMs, and cloud-native pipelines.
Develops and integrates NVIDIA’s embedded software for camera and display systems on Tegra platforms, including driver porting, platform bring-up, and optimization for automotive or embedded use cases.
Design, build, train, and deploy predictive models using machine learning and deep learning to solve business problems, with a focus on regression, classification, NLP, and computer vision using Python, TensorFlow/PyTorch, and SQL.
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