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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.
Build vision-language-action and reinforcement learning models for real-world robotic systems, training policies that generalize across hardware and deployments.
Build and optimize large language models for insurance workflows, focusing on post-training, evaluation, and inference performance to improve underwriting and claims processing.
Build and fine-tune LLMs and agentic AI systems that power Lyft’s safety and customer-care workflows, using post-training, agent frameworks, and evaluation pipelines to handle millions of interactions.
Build and maintain scalable ML systems for enterprise commerce clients, focusing on reliability, low-latency inference, and MLOps best practices using Python, PyTorch, AWS, and Kubernetes.
Build and deploy production-grade ML systems using PyTorch/TensorFlow, LangGraph/LangChain, and GCP for a retail-focused AI product team.
Lead the design and deployment of production-grade AI/ML solutions, including generative AI, LLMs, and agentic systems, to drive measurable business impact in Johnson & Johnson’s MedTech supply chain.
Build and deploy AI solutions (ML, generative AI, agentic workflows) in Python, integrating with enterprise systems to solve business problems and move prototypes to production.
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