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Silicon Quantum Computing (SQC) is at the forefront of global efforts to build the world’s first commercial-scale quantum computer, while delivering quantum-enhanced AI and simulation products to customers today.…
Turn complex data into decisions that matter. Agile Bridge is looking for a Data Scientist who can move confidently from messy data and ambiguous business questions to reliable models, clear insight and measurable…
Build and deploy PyTorch-based ML models to predict marketing effectiveness for large advertisers, working with text, image, and video data in a product-focused team.
Role\: Gen AI & Agentic AI Architect Location \: Pan India Experience \: 6 to 15 Years Notice Period \: Immediate to 90 days Mode of Interview \: In Person Gen AI & Agentic AI Architect About The Role\: We are…
Design and lead AI-driven platforms, selecting frameworks like PyTorch and deploying models via MLOps pipelines to solve business challenges at scale.
Build and ship AI agents and LLM-powered services on Databricks and Azure, automating workflows in contracting, commissions, and distribution operations for an insurance company.
In this AVP-level role, you will be responsible for designing, implementing, and maintaining automated testing frameworks for AI systems. You will validate model accuracy, data pipelines, and software integrations to…
The Data Automation & AI Engineer will design and develop scalable software solutions using Python, Generative AI frameworks, and cloud technologies to drive digital innovation at Barclays. The role involves building AI/ML pipelines, managing model lifecycles, and collaborating across teams to deliver high-quality, secure software.
Designs and deploys AI/ML solutions (LLMs, RAG, predictive models) to optimize sales performance, forecasting, and operational efficiency using CRM/data analytics.
The AI Engineer will design, develop, and deploy AI-powered solutions, including machine learning models, intelligent agents, and copilots, using Python and Azure cloud platforms. This role involves collaborating with cross-functional teams to integrate AI into enterprise applications while adhering to responsible AI and security standards.
Develop and deploy machine learning models for fraud detection and risk prevention in ByteDance's e-commerce ecosystem, building data pipelines and analyzing security data to identify abnormal behavior patterns.
Validates and improves LLM/ML model outputs while building scalable systems for data quality and reliability in AI systems used by millions globally.
Build and deploy production-grade AI models for geospatial applications, leading ML system design, MLOps, and cross-team collaboration.
Senior AI & Full-Stack Engineer leading development and production deployment of AI/ML capabilities (LLMs, RAG, credit/fraud models) and full-stack features on a Singapore SME financing marketplace, using Python, SQL, and cloud platforms.
Forward-deployed data scientist at SAP designing and deploying advanced ML and statistical solutions directly in customer environments, using Python, SQL, and frameworks like TensorFlow/PyTorch on top of SAP data platforms.
Leads AI/ML system design, development, and deployment for geospatial applications, focusing on scalable production models, MLOps, and cross-team collaboration to integrate AI into platforms.
Lead the design and deployment of production-grade AI/ML solutions focused on geospatial applications, applying MLOps best practices and mentoring engineers using Python, PyTorch, scikit-learn, OpenCV, Docker, and API frameworks.
Designs and deploys AI/ML solutions (including generative AI) to optimize sales performance, forecasting, and operational efficiency using CRM/data analytics, with a focus on enterprise-scale MLOps and sales ops integration.
Designs, builds, and deploys AI/ML systems on Google Cloud to solve business problems, focusing on model optimization, MLOps pipelines, and agentic AI workflows for Crate & Barrel’s core products.
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