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Designs and builds AI/ML-powered cloud-native applications on Microsoft Azure, focusing on retrieval-augmented generation and LLM integration to solve internal business problems while establishing reusable AI/MLOps patterns and security guardrails for cross-functional teams.
Designs and commercializes end-to-end AI ecosystems, bridging infrastructure and AI Knowledge Layer to integrate models, data pipelines, and applications into scalable, global services using MaaS and Agentic AI frameworks.
Build AI-powered workflows and agent systems for HR, sales, security, and operations at a fast-growing voice-AI startup.
Who we are Foundation models transformed text and images. Structured data - the largest and most consequential data format in the world - stayed untouched. Tables run every clinical trial, every financial model, every…
About Us First impressions matter. TaskRay is on a mission to ensure businesses get off to a great start with a flawless customer experience once the opportunity is marked Closed Won. TaskRay is the leader in post-sale…
Builds modern React-based web apps and scalable backend services (Java/C++/Go) for a leading networking company, using AI tools to modernize legacy systems.
Senior Solutions Engineer builds and deploys AI-powered enterprise search and insights solutions using Python, Elasticsearch, and LLM integrations for regulated industries.
Lead a team building secure, scalable Java/Spring Boot microservices on AWS and Kubernetes, integrating AI tools and automating workflows while mentoring engineers.
Build and ship full-stack AI-driven applications using TypeScript and AWS, rapidly prototyping with GenAI tools in a hybrid Bristol role.
Build cloud-native cybersecurity microservices that unify asset discovery with risk assessment, integrating third-party security tools and applying LLMs to improve engineering velocity and code quality.
Position Overview The AI/ML Engineer is a hands-on technical specialist responsible for designing, building, and operationalizing AI and machine learning capabilities within the MDM platform and its surrounding…
Design and review secure AI/GenAI architectures, define security requirements, and mitigate risks like prompt injection and data leakage for clients.
Role Purpose The Assistant Manager – AI & Machine Learning will support the development of advanced analytics and AI-driven solutions to enhance digital banking performance, customer engagement, and marketing…
Build and maintain AI evaluation frameworks, optimize models for accuracy and latency, and deploy AI solutions while ensuring security and compliance.
Design and deploy AI-powered copilots and agentic solutions using Microsoft’s AI stack (Copilot Studio, Azure AI Foundry) and Python, integrating LLMs and RAG for enterprise clients.
Senior AI Engineer at PwC’s India Acceleration Center, designing and running experiments with LLMs and AI agents to evaluate tools and produce client-ready insights using Python and cloud platforms.
Build and deploy AI solutions for PwC’s Deals Advisory practice using Python, FastAPI/Streamlit, and cloud AI services like Azure OpenAI to solve client challenges in forensic accounting and compliance.
Lead a team of Data Scientists and ML Engineers building AI-powered financial-market solutions using LLMs, Generative AI, and advanced ML, from concept to production.
Advises banks and financial firms on AI strategy, governance, and transformation, translating business goals into AI solutions and roadmaps while engaging C-suite stakeholders.
Lead a team building full-stack legal applications in .NET, React/Next.js, and Azure, integrating AI features like RAG and agentic workflows while setting engineering standards and mentoring engineers.
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