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Lead a machine-learning team building Sponsored Offers scoring models (pCTR/pCVR) for a top Polish e-commerce marketplace, using Python, PyTorch/TensorFlow, and GCP.
Build and deploy ML models to detect and prevent fraud in global payments, using Python, SQL, and frameworks like TensorFlow/PyTorch.
Build and deploy AI/ML models for Singapore’s energy regulator, focusing on MLOps pipelines, model governance, and translating technical insights for stakeholders.
Designs and optimizes Neo4j graph models for banking data, applies Graph Data Science algorithms to detect fraud, and builds real-time investigation dashboards for AML and Risk teams.
Designs and optimizes Neo4j graph models for banking data to detect fraud and money-laundering patterns using GDS algorithms and Bloom dashboards.
Build and optimize the MLOps platform powering Revolut’s AI products, focusing on GPU workloads, PyTorch performance, and scalable backend services for regulated finance.
Develop perception software for autonomous drone infrastructure, including computer vision algorithms for precision landing and sensor integration using Python, PyTorch, and OpenCV.
Researcher to design and run ablation experiments that shape the pretraining data mix for a frontier LLM, turning hypotheses into measurable gains on public benchmarks.
Build and deploy deep-learning models for 3D vision and robot perception, turning transformer-based research into production-ready grasping and manipulation systems for industrial robots.
Build and maintain the software stack for an autonomous tile-grouting robot using ROS2, integrating AI models and embedded firmware while calibrating sensors and testing in real-world construction sites.
Senior engineer building backend systems for AI agent orchestration and distributed training at Lightning AI, the creators of PyTorch Lightning.
Field Solutions Architect driving AI/analytics adoption by enabling sales teams, partners, and customers with technical content, demos, and strategic guidance on high-performance data pipelines.
Build and scale generative and predictive ML models for cellular behavior using PyTorch and distributed training, bridging research prototypes to production-grade systems in a TechBio company.
Build and evaluate generative and predictive models for high-content cell imaging to uncover disease mechanisms and guide drug discovery, using deep learning and multi-omic data.
Intern designs and implements computer-vision models for embedded systems, optimizing object detection and AI inference on edge devices like NVIDIA Jetson.
Job Title: Senior Manager, Data Science - Instamart Team: Data Science Years of Exp: 8 - 12 Location: Bangalore, India About the Team & The Role The Swiggy Data Science team is a vibrant group of scientists,…
Build predictive maintenance and fleet-optimization models from mining-equipment sensor data using Python, ML, and time-series techniques; create dashboards to guide operational decisions.
Build offline perception models for autonomous trucks, using deep learning and sensor fusion to auto-label data for training and simulation.
Lead the design and deployment of agentic AI systems for Citi’s banking operations, using Python, Google ADK, LangChain, and LLMs to automate workflows and reduce risk.
Build and deploy ML models for Apple News, Books, and Stocks to power recommendations, search, and AI features using Python, PyTorch, and TensorFlow.
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