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Build real-time data pipelines and feature stores for AI agents that automate Kraken’s internal workflows, using streaming tech like RisingWave or Flink.
Develops robust AD/ADAS software for automated driving systems, integrating sensors, path planning, and motion control to enhance vehicle safety and performance.
Design, build, and deploy enterprise-scale AI/ML solutions using Python, SQL, and frameworks like TensorFlow/PyTorch, with cloud deployment on Azure/AWS/GCP.
Build and deploy predictive models for healthcare analytics using Python, SQL, and ML tools to drive data-driven decisions and optimise business outcomes.
Lead a fraud-detection team building ML models to protect an affiliate-marketing platform from attribution fraud, lead fraud, and emerging threats like browser-extension abuse.
Make an impact with NTT DATA Join a company that is pushing the boundaries of what is possible. We are renowned for our technical excellence and leading innovations, and for making a difference to our clients and…
Build and operate production-grade ML pipelines on Databricks, implementing MLOps practices like CI/CD, model monitoring, and secure deployment while collaborating with data science and engineering teams.
Build and deploy ML models, predictive analytics, and optimization algorithms to solve business problems across DKSH’s supply chain and markets, using Python, SQL, and cloud platforms.
Build and deploy data-science models and analytics pipelines for R&D projects, using Python/SQL and cloud/big-data tools to drive insights and scalable solutions.
Design, build, and deploy AI/ML models and scalable data pipelines for predictive analytics and business optimization using cloud and MLOps practices.
Lead a team building production-grade GenAI and multi-agent AI systems for a major bank, owning architecture, prototyping, evaluation and deployment to deliver measurable customer and business outcomes.
Build and optimize generative AI systems, focusing on RAG pipelines, LLM evaluation, and enterprise-scale deployments to improve retrieval quality and reduce hallucinations.
Build and maintain enterprise-grade communication surveillance apps for a bank using Java/Spring Boot, React, Node.js, and cloud tools; integrate AI/ML for detecting compliance breaches across emails, chats, and voice transcripts.
Leads a team to build, deploy, and monitor ML models for customer analytics and credit risk, translating business needs into data-driven solutions and embedding insights into operations.
Designs and maintains scalable data pipelines and ML-ready datasets for analytics and AI use cases in a global payments company.
Build and deploy production-grade agentic AI and LLM applications for APAC enterprises, including RAG pipelines, multi-agent systems, and ML services across cloud and air-gapped environments.
Job Title : Data Scientist 2 Location :Bangalore About Kotak Mahindra Group: Established in 1985, the Kotak Mahindra Group is one of India’s leading financial services conglomerates. In February 2003, Kotak Mahindra…
Build and deploy AI/ML models and generative AI workflows for clients across ASEAN, using Python, cloud platforms, and modern frameworks.
Lead the design, fine-tuning, and evaluation of LLMs and generative AI models for healthcare, ensuring safety, explainability, and production readiness while mentoring junior data scientists.
Build and deploy GenAI/NLP pipelines for Elsevier’s life-science products, orchestrating ML workflows on AWS/Azure, managing vector/graph search, and enforcing content rights and confidentiality.
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