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Senior Data Scientist at DAZN's Hyderabad office, owning end-to-end ML/AI solutions from problem framing through production deployment, monitoring and model lifecycle. Works on GenAI/LLM, NLP, recommendation or forecasting use cases using Python, SQL, cloud and MLOps tooling.
Senior backend engineer at HealthJoy (US healthcare benefits navigation) building and scaling an AI-first, multi-agent recommendation pipeline already in production. Day to day: Python microservices on AWS and Kubernetes, event-driven data pipelines, and AI-first engineering practices to cut healthcare costs for members.
Senior product lead for Just Eat Takeaway's home-page ranking and recommendation systems, shaping ML-driven algorithms that match customers with restaurant and grocery partners. Day to day: own vision, roadmap and KPIs, govern A/B testing strategy, and partner closely with data science and engineering.
Monee, a Southeast Asian digital payments and financial services company under Sea Limited, seeks a machine learning engineer in Singapore to build graph deep learning models (GAT/RGAT via PyTorch, DGL/PyG) over large-scale user relationship and transaction data to improve credit risk scoring, covering graph construction, training, evaluation, and production deployment.
A 2027-graduate Credit Risk Data Scientist at Monee (Sea Limited) in Singapore who builds, validates, deploys, and monitors credit risk models — statistical, ML, and LLM-based — that drive consumer and SME lending decisions, with heavy feature engineering on large-scale datasets. Core stack: Python, SQL, PySpark, XGBoost/LightGBM.
WME is looking for a Head of Data & Data Products to build the next generation of our data capability. WME sits at the center of entertainment, representing leading artists, creators, athletes, brands, and…
Software Engineer on a growth-infrastructure team at an AI startup, owning end-to-end systems for expert acquisition, onboarding, and expert-to-project matching (including an AI interviewer), with a path toward ML-driven recommendation systems. Core stack is Node.js or Python with Kubernetes, working onsite in San Francisco.
Software engineer on Google's Core team in Singapore building content-safety systems — classifiers, vector databases, and multimodal models — to detect abuse and protect Google's products and GenAI experiences. Day-to-day involves training and productionizing ML models and building high-throughput distributed pipelines using Python, Java, or C++.
Senior back-end developer in Kuala Lumpur designing, building and maintaining web and application solutions on a MEAN-style stack (TypeScript, NestJS, Node.js, MongoDB, Express, AngularJS) with Rust, participating in the full SDLC, architecture, code reviews and mentoring other engineers. Mandarin and English are required for client-facing work.
Lead a team of data scientists building and deploying large-scale machine learning models for travel search, pricing, and personalization using Python, PySpark, and deep learning frameworks.
Lead a team of data scientists building ML models for travel search ranking, pricing, and personalization using Python, PySpark, and large-scale infrastructure in Singapore.
Lead a team to design and build scalable full-stack applications for private-market software, using Python/FastAPI or Java on the backend, React/TypeScript on the frontend, and AWS cloud services.
Senior Product Manager at Just Eat Takeaway.com owning the Partner recommendations product — home-page ranking and recommendation algorithms. Day to day: setting vision and roadmap, collaborating with data scientists and engineers on ML ranking systems, and using A/B tests and KPI analysis to shape demand and optimize customer experience and revenue.
Senior hands-on AI/ML engineer and first member of ISACA's new internal AI implementation team. Day to day: writing production Python/Azure code for RAG, knowledge-graph, and LLM-powered member-facing systems, building data/retrieval pipelines, running MLOps/LLMOps, and reviewing vendor work to bring AI engineering in-house.
Translate customer and business problems into clear analytical and machine-learning objectives. Work with large datasets, event data and feature stores to identify useful signals and build predictive features. Develop,…
Early-careers Data Scientist on the Binance Square team, improving recommendation and community systems for a Web3 content/financial community — analyzing user behavior, optimizing feed ranking and cold-start strategies, running A/B tests, and exploring LLMs for content understanding. Core stack: SQL, Python, ML/statistics, recommendation systems.
Data science intern in Binance's Accelerator Program (Singapore) building user-growth algorithms for the world's largest crypto exchange: user segmentation, LTV/churn prediction models, incentive strategies, and A/B tests. Core stack is Python (NumPy, Pandas, Scikit-learn) plus SQL and classical ML models.
Storytelling is, and will always be, the heart of what we do at Skydance. Our vision is to build a thriving entertainment ecosystem where stories and worlds are imagined, brought to life and experienced. We create for…
Product area The Core team builds the technical foundation behind Google’s flagship products. We are owners and advocates for the underlying design elements, developer platforms, product components, and infrastructure…
