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Full-stack R&D engineer building end-to-end web applications with React/Vue frontends and Python/Node.js/Java backends on AWS, integrating AI/ML capabilities like LLM APIs into production systems at Keysight Technologies in Singapore.
Design, build, deploy, and optimise AI/ML solutions for global clients as a Forward Deployed AI Engineer at a top-tier consultancy, working with Python, cloud platforms (AWS/Azure/GCP), and MLOps workflows with 50% travel across APAC.
Full Stack AI Engineer at an InsurTech startup building and deploying GenAI/LLM solutions including RAG applications, AI agents, copilots, and intelligent document processing using Python, Azure, and various LLM frameworks.
Develops and deploys generative AI and deep learning solutions for Citi’s Treasury & Trade Services, extracting insights from unstructured data (emails, call transcripts) to drive client experience and revenue growth. Core focus: end-to-end AI product delivery, LLM fine-tuning, RAG systems, and MLOps for production-grade GenAI.
Career Category Engineering Job Description About Amgen At Amgen, if you feel like you’re part of something bigger, it’s because you are. Our shared mission—to serve patients living with serious illnesses—drives all…
Lead Data Science Engineer at Sabre, designing AI-driven systems for travel optimization, agency automation, and real-time itinerary personalization using advanced ML, optimization, and MLOps.
Hands-on senior AI/ML engineer leading the design, development, and production deployment of LLM, RAG, and agentic AI solutions for life sciences and healthcare applications using Python, PyTorch, LangChain, and Azure OpenAI.
Leads end-to-end AI/ML development for scientific workflows, deploying LLMs, RAG, and agentic systems in healthcare/genomics to improve customer outcomes and innovation.
Build AI-driven agents to autonomously detect, diagnose, and remediate issues across CrowdStrike’s large-scale distributed infrastructure, integrating with monitoring and telemetry stacks.
The Data Scientist will design and deploy machine learning models and predictive frameworks to optimize business value within Hitachi Energy's Transformers business unit. The role involves collaborating with cross-functional teams to build robust data pipelines using Azure, Databricks, and Python while ensuring model transparency and performance.
The Cybersecurity Solutions Architect/Engineer will design and implement AI/ML-driven analytic solutions to detect cybersecurity threats and fraud for the United States Postal Service. The role involves leveraging Databricks, Python, SQL, and R to analyze large datasets and lead cross-functional teams in secure environments.
Embedded engineer who writes production-grade AI/ML code, deploys on-site with customers, and solves real-world infrastructure problems using Analog Devices’ edge/AI tech.
The Associate Data Scientist will develop predictive models and machine learning solutions to enhance pricing strategies for Personal Auto and Home insurance lines. The role involves collaborating with cross-functional teams using Python, R, SQL, and AWS to transform large datasets into actionable business insights.
At Signature Aviation, we are modernizing operations and customer experiences through advanced data platforms and artificial intelligence. We are seeking a Principal Engineer – AI Agentic Systems to design, architect,…
Lead the design and development of full-stack applications and AI-driven infrastructure platforms using Java, Python, Node.js, and modern frameworks, while automating CI/CD, DevOps, and cloud-native systems.
The Data Governance & AI Consultant will deliver data governance frameworks, policies, and AI assurance strategies for UK Central Government and Defence projects. The role involves managing data quality, metadata, and responsible AI practices while working in a hybrid capacity in Bristol.
Role: Databricks Engineer Experience: 9-12 Years Location: ALL EXL Locations Work Mode: Hybrid Key Role and Responsibilities: Design, build, and maintain Databricks workspaces, clusters, and compute pools across…
Builds predictive models and data products to drive customer lifetime value (CLV) by developing churn/retention models, segmentation strategies, and personalized CRM campaigns. Owns end-to-end ML workflows, including feature engineering, validation, deployment, and production monitoring in Databricks, while collaborating with CRM, Marketing, and Merchandising teams.
The Pre-Sales Engineer acts as a technical bridge between TD SYNNEX and its partners, designing data, analytics, and AI/GenAI solutions. The role involves conducting technical discovery, building architectures, executing POCs, and supporting the sales process for complex data ecosystems.
McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable.…
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