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Design and deploy AI/ML systems (Generative AI, NLP, vision, recommendations) end-to-end, from data pipelines to cloud production, and mentor engineers.
Company Overview Vinova is an award-winning development company founded in 2010, specializing in mobile, web, and enterprise applications. Serving global clients across IoT, blockchain, fintech, and ecommerce, Vinova…
Build and deploy large language models for Alexa’s conversational AI, from research to production systems.
Senior Backend Engineer designs and scales AI-driven data platforms in Python/Go, focusing on graph databases, real-time pipelines, and enterprise-grade APIs for autonomous intelligence.
Builds and maintains NLP models and data pipelines for a recruitment-focused AI product, collaborating with engineering teams to deliver data-driven solutions.
Design, build, and deploy AI models (NLP, LLM, RAG) and data solutions end-to-end, from business needs to production, using Python, MLOps, and cloud platforms.
Builds full-stack web apps with MERN/MEAN and Python, integrates AI chatbots and NLP, and optimizes performance for secure, responsive platforms.
Builds governed data pipelines, semantic models, and Power BI reports using Python, SQL, and Microsoft Fabric to modernize supply-chain analytics and enable AI-assisted self-service insights.
Build and refine AI-powered leadership coaching systems using LLMs and NLP to deliver personalized, enterprise-grade guidance at scale for Fortune 500 clients.
Design and build agentic AI systems using GenAI, ML, and systems engineering for domains like healthcare, finance, and retail; implement RAG, multi-agent workflows, and full-stack Python applications on Azure.
Lead the architecture of AI and data platforms, defining scalable GenAI/Agentic AI systems and Lakehouse data pipelines on Azure while enforcing governance and mentoring teams.
Build and deploy AI/ML models and analytics pipelines in Azure to drive data-driven decisions for a retail bank, using Python, PySpark, and Power BI.
Build and deploy AI/ML models and analytics pipelines to drive data-driven decisions in banking, using Python, PySpark, Azure, and Power BI.
Develops and maintains ML models (tabular and NLP) to detect phone spam and fraud, focusing on feature engineering, pipeline optimization, and collaboration with business stakeholders to improve detection accuracy and latency in production.
Build and refine LLM models for fintech clients, using prompt engineering, OCR, NLP, and multimodal approaches to power industrial systems.
The Opportunity Adobe is seeking to add Applied Scientists in Generative AI to our world-class AI Platform team. We are specifically looking for scientists with expertise in preparing data, training, fine-tuning and…
Company: 1011 United Overseas Bank Ltd About UOB United Overseas Bank Limited (UOB) is a leading bank in Asia with a global network of more than 500 branches and offices in 19 countries and territories in Asia Pacific,…
Product area Whether it is paying online with Autofill, using tap and pay in stores, or using the Google Pay app, the Payments team at Google is focused on making payments simple, seamless, and secure. In addition to…
Build AI-powered clinical tools that transcribe visits, automate notes, and assist doctors in real time using LLMs and fullstack Python/TypeScript on a healthcare AI platform.
Lead the 0-1 build of an AI-native data infrastructure platform, defining architecture, hiring the team, and shipping production-grade ML/GenAI systems that power core platform capabilities.
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