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Data Scientist
Zee Learn, an education company, is hiring a Data Scientist in Mumbai (8-13 yrs experience) to translate business requirements into analytics solutions: building data pipelines, BI dashboards (Zoho Analytics/Tableau/Power BI), and delivering insights via trend analysis and ML models. Core skills: Python or R, statistical modeling, and data visualization.
Senior Data Scientist
Sber's Data Science team seeks a Senior Data Scientist to build GenAI initiatives for its bank-branch channel: taking multi-agent LLM systems, production RAG pipelines, model fine-tuning, evaluations and MLOps from prototype to production using Python, LangChain/LangGraph, Qdrant, Docker/k8s and vLLM/Triton inference.
Research Engineer/Senior Research Engineer (Computer Science / Data Science /...
Research engineer at NTU's Asian Centre for Digital Cultures supporting humanities and social science researchers with digital methods: Python-based data collection and analysis, web/mobile app development, cloud services, researcher training, and maintaining the Centre's website and portal.
Data Scientist: ML & Data Analytics Pipelines
Data scientist at Xiaomi Singapore supporting development and validation of predictive analytics and ML models. Day to day: statistical and exploratory analysis on large datasets, SQL/Python data extraction and feature engineering, building data pipelines and visualizations, and prototyping models under senior guidance.
Research Engineer/Senior Research Engineer (Computer Science / Data Science / Information Science / Digital Humanities)
Research Engineer at NTU's Asian Centre for Digital Cultures (CoHASS) supporting humanities and social-science researchers with digital methods: Python-based data collection/cleaning, cloud services, web and mobile app development, training, and maintaining the centre's website and research portal.
AI/ML Engineer (Agentic AI & Data Science) – 12-Month Contract | Banking Client | MBFC
12-month contract AI/ML Engineer with NTT Singapore, placed with a banking client at MBFC, Singapore. Day to day: build agentic AI platforms (Dify, RAG, LLM apps), recommendation and predictive models, and production Python REST services deployed on OpenShift/Kubernetes for financial markets use cases.
contract AI/ML Engineer (Agentic AI & Data Science) #IAC
Contract AI/ML engineer in Singapore building agentic AI and RAG systems plus predictive ML models (propensity, ranking, behavioural analytics) for what appears to be a financial-services client. Core stack: Python/SQL, Dify and agent frameworks (LangChain/LangGraph), Docker/Kubernetes/OpenShift, with hands-on model training and LLMOps.
Machine Learning Engineer - Risk Data Experienced (Individual Contributor) Singapore Data Science
Machine Learning Engineer building data and ML infrastructure for credit risk systems at Monee (part of Sea Limited). Day to day: productionizing ML models into real-time and batch risk decisioning, maintaining large-scale data pipelines, and improving monitoring and observability using Python, Spark, Flink, and Airflow.
Senior Data Scientist
Senior Data Scientist at Sberbank building GenAI initiatives for the branch channel: designing end-to-end pipelines from research and prototyping to production, including multi-agent systems, production RAG, LLM fine-tuning, MLOps (Docker/k8s, CI/CD, MLflow) and inference optimization with vLLM/Triton.
Data Scientist (ML)
Привет! Познакомься с командой, которая стремится улучшить показатели бизнеса с помощью машинного обучения и точного анализа данных. Ждём специалиста, готового превратить бизнес-потребности в эффективные решения! Чем…
sr Data Scientist
Senior Data Scientist at Kinara.ai in Bengaluru who develops, tests, and refines machine-learning models in an R&D context — running experiments, building features, evaluating model performance, and documenting AI methodologies.
Lead Data Scientist
Lead Data Scientist at Zorba AI in Bengaluru who leads end-to-end AI and analytics client engagements: designing predictive ML models with Python, R, Spark, and TensorFlow, mentoring data scientists, and driving delivery, client stakeholder management, and pre-sales across retail, pharma, banking, and insurance.