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Responsibilities: Handle production incidents and post-mortem analysis for system stability improvement Designing, deploying, monitoring, and troubleshooting Kafka and Redis clusters in PROD environment, ensuring…
Build and optimize Rust-based AI systems for real-time military tracking and sensor fusion, using advanced algorithms and probabilistic modeling to deliver mission-critical defense technology.
Owns the full ML lifecycle for physical AI, from sensor data pipelines to deploying optimized models on constrained hardware, collaborating with embedded teams to ensure reliability and performance in real-world devices.
Analyze insurance performance data using Power BI, Python, SQL, and R to build dashboards and ML models that guide business decisions and risk management.
Lead a team to run and improve enterprise Identity & Access Management services, including SSO/MFA, access workflows, and audit compliance for a large bank.
Build and deploy ML/AI models (classical, deep learning, LLMs) with MLOps/LLMOps pipelines, focusing on production-grade solutions and API integration for enterprise use.
Builds and deploys ML/DL models (classical, deep learning, LLMs) for structured/unstructured data, focusing on MLOps/LLMOps pipelines, model monitoring, and AIOps automation in a telecom/enterprise context.
Builds and deploys AI/ML models (anomaly detection, predictive modeling, generative AI) to extract insights from Swift’s financial transaction data, driving strategic and customer-facing innovations in global payments.
Build and deploy NLP classification models for customer communications using Python, PySpark, and SQL, focusing on intent, topic, sentiment, and multi-label classification.
Build and maintain observability, automation, and reliability practices for cloud-native systems using Python, Ansible, Kubernetes, and tools like Dynatrace and Datadog.
Builds secure data pipelines and transformations for a UK government client, focusing on geospatial and official datasets using SQL, Python, and modern tooling.
Senior Business Analyst at Finkraft.ai builds AI-augmented workflows to analyze GST claims, automate reports, and drive insights for enterprise clients in travel and expense data.
Design and secure Azure cloud-native architectures with API Management, AKS, and DevSecOps pipelines, focusing on zero-trust security and automated governance.
Leads Azure cloud architecture and DevSecOps for secure, scalable cloud-native systems, focusing on API modernization, CI/CD pipelines, and security automation using Azure services like APIM, AKS, and DevOps tools.
Design and deploy AI/ML solutions—LLM-powered HR tools, semantic search, pricing analytics, and anomaly detection—using Python, MLflow, and Databricks to drive data-driven decisions.
Lead the design and deployment of AI/ML models and advanced analytics to solve business challenges, mentor a data-science team, and drive enterprise-wide AI adoption.
Designs and runs hardware tests for next-gen defense systems, from benchtop rigs to full vehicle trials, and feeds results back into rapid design iteration.
Build and scale an agentic AI platform for the global hospitality industry, designing multi-agent workflows, LLM pipelines, and a data lake to automate MICE processes and power predictive revenue tools.
Builds and maintains scalable ELT pipelines for Spirii’s EV charging data, ensuring reliable data ingestion into Amazon Redshift and supporting analytics on charging events, subscriptions, and transactions. Focuses on infrastructure-as-code, data reliability, and collaboration with engineering/product teams to shape a robust data platform.
Who We Are As Singapore's longest established bank, we have been dedicated to enabling individuals and businesses to achieve their aspirations since 1932. How By taking the time to truly understand people. From…
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