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On-site Applied ML Scientist at Eli Health developing and improving ML, signal processing, and statistical models on noisy hormone-monitoring data, then investigating production performance and failures—primarily using Python.
Data Scientist focused on Computer Vision & AI developing, training, and optimizing ML/DL models for image-based road infrastructure analysis using Python, PyTorch, and related CV libraries at an AI-driven SaaS startup.
Product area Google Research is building the next generation of intelligent systems for all Google products. To achieve this, we’re working on projects that utilize the latest computer science techniques developed by…
The Assistant Manager (Data Science) will develop predictive models, AI/ML solutions, and automation tools to improve patient care and hospital operations. The role involves managing complex healthcare datasets and leading digital strategic initiatives using Python, R, SQL, and various AI frameworks.
Lead a team building scalable, high-performance admin interfaces and services for Adobe’s enterprise platforms using React, Node.js, and cloud infrastructure, while driving engineering standards and mentoring engineers.
Design and deploy enterprise-scale ML systems and knowledge graphs for Dell, building agentic AI applications, RAG pipelines, and semantic data layers using Neo4j/Stardog and distributed data tech.
The Director of Computational & AI Biologics Design leads in silico drug discovery efforts by applying generative AI and structural modeling to antibody and large-molecule programs. This role bridges the gap between AI/ML platform capabilities and experimental drug-hunting teams to accelerate candidate optimization and clinical delivery.
Build and deploy agentic and generative AI solutions using Python, LLMs, and ML models to solve real business problems in a cross-functional team.
Design and deploy LLM-powered validation pipelines and AI integration solutions within NVIDIA's Silicon Co-Design Group, using Python, static languages (C/C++/Java), and AI/ML frameworks to modernize semiconductor design and automation infrastructure.
The Senior/Lead Data Scientist will design and build agentic AI solutions, including RAG databases and AI agents, to automate data analysis and solve complex business problems. The role requires deep expertise in GenAI, LLMs, and Python, with a focus on deploying scalable analytical solutions on Google Cloud Platform.
This role involves developing and deploying advanced AI and machine learning models to drive commercial analytics and business effectiveness within a healthcare context. The analyst will utilize Python, SQL, and Snowflake to process healthcare datasets and provide actionable insights for cross-functional teams.
The Senior Data Scientist will lead a high-performance team to modernize insurance risk functions using a code-first approach. The role involves building automated pipelines, predictive models, and LLM-based agents to enhance risk monitoring and governance.
The Senior Data Scientist will design, develop, and implement AI models and algorithms while mentoring junior staff. The role focuses on leveraging advanced analytics and machine learning to solve complex business challenges for global enterprises.
The Senior Field Specialist acts as a technical advisor and pre-sales expert, helping enterprise customers design and deploy data and AI platforms using Cloudera's technology stack. This role involves leading Proofs of Concept, troubleshooting complex deployments, and bridging the gap between customer requirements and product development.
NVIDIA Inception is our free global programme for start-ups building with AI, data science and accelerated computing — now more than 40,000 companies worldwide, with over 2,000 of them based in India alone. South Asia…
Build and deploy AI/ML models using healthcare datasets to optimize commercial strategies, patient targeting, and forecasting for a biopharma company.
Senior Data Scientist building and deploying predictive ML models for collections and customer engagement analytics. Day-to-day work involves feature engineering, model training/validation, and production ML pipelines using Python, SQL, and frameworks like XGBoost, LightGBM, and TensorFlow.
Design, develop, deploy, and support production-grade AI/ML solutions using Python, PyTorch, scikit-learn, and Azure, working across the full machine learning lifecycle at State Street in Bangalore.
Senior AI Learning Experience Designer on a W2 contract, combining learning science strategy, hands-on UX/UI design, and AI prototyping to build interactive learning solutions for enterprise clients—fully remote within the US.
Radar Systems Engineer Ursa Space Systems is building ground-breaking solutions to deliver global intelligence to organizations around the world. Through our SAR/EO/RF satellite network, and data fusion expertise, Ursa…
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