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Senior Software Engineer, AI/ML, Google Cloud Platforms
Build and deploy large-scale AI/ML systems on Google Cloud, designing models and infrastructure for speech, reinforcement learning, or other ML domains to power Google’s products.
Data scientist
Build and deploy ML/AI models to extract insights and predict outcomes from large datasets using Python/R, then integrate them into business processes.
Senior generative ai engineer
Lead the design and implementation of enterprise-scale generative AI solutions using LLMs and prompt engineering, while mentoring teams and ensuring secure, compliant deployments.
Lead ai engineer
Lead AI Engineer designs and delivers enterprise-grade AI solutions, including LLM apps, RAG systems, and AI agents, while setting engineering standards and mentoring teams.
Data Scientist - Machine Learning and Generative AI - Full Time
Design, build, and deploy machine learning and generative AI models for enterprise clients, focusing on natural-language analytics, cloud platforms, and production workflows.
Lead AI Engineer (Generative AI)
Lead a team to integrate generative AI and LLMs into engineering practices, coach teams on safe AI use, and modernize SDLC with AI-first solutions.
Full-Stack Software Engineer
Builds the core conversational analytics platform for education, designing full-stack features that let non-technical users query data with natural language and AI-driven text-to-SQL.
AI & Data Science Consultant/Engineer (Japanese Speaking)
Design and build generative and agentic AI solutions (LLMs, RAG, agents) and data-science models for clients, then advise and demo them to stakeholders.
Urgent! Data Scientist (AI Enable-Products)
Build and evaluate AI models for government communications, focusing on NLP and generative AI to improve public services and policy outreach.
Senior Product Data Analyst, Shop Chatbot & AI Chat
Analyze chatbot interaction and user behavior data to improve AI-driven shopping assistant features, build dashboards, and collaborate with product and engineering teams.
AI/NLP Data Scientist for Public-Sector Platforms
Build and evaluate NLP and generative AI models for government platforms, writing production Python and collaborating with engineers and policy teams.
Data Scientist (AI / Machine Learning / Cloud)
Build and deploy production-grade AI/ML models and GenAI solutions on cloud platforms, collaborating with engineers to solve real-world business problems using Python, SQL, and modern ML frameworks.
Principal AI/ML Engineer (Computer Vision)
Lead AI/ML engineering for computer vision systems in a global supply-chain company, designing models, optimizing for production, and guiding teams to integrate vision solutions into products.
Machine Learning Engineer
Build and scale AI/ML systems for semiconductor manufacturing and analytics, combining classical ML with Generative AI on AWS Bedrock to deliver anomaly detection, predictive maintenance, and LLM-powered workflows.
AI Engineer (Azure AI Solutions)
Design and deploy AI-powered solutions using Microsoft Azure AI services, building scalable models and integrating them into enterprise applications.
AI Machine Learning Engineer - Predictive Maintenance focus
Build and deploy AI/ML models for predictive maintenance using time-series sensor data to reduce equipment downtime in industrial and smart-infrastructure settings.
Senior R&D AI Software Engineer
Build full-stack AI-powered applications integrating LLMs and inference services, using React/Vue for UIs and Python/Node.js for scalable backends on AWS.
Principal Software Engineer, AI & Data Platform (Xora Portfolio Company)
Principal engineer builds and owns the AI and data platform that turns scientific data into reusable assets for model training, evaluation, and automated workflows in a secure, scalable environment.
Applied ML / AI Engineer
Design and implement AI evaluation, orchestration, and verification workflows for a high-assurance agentic AI platform used in regulated industries.
Director, Data Scientist (Applied AI, AI Hub Singapore)
Lead a new Singapore-based applied AI team to build production-grade generative AI and ML solutions for BNY’s enterprise platform, Eliza, from problem framing to deployment and governance.