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We are seeking an experienced E-Procurement ( Ivalua) Solution Architect to join our team in Singapore. This role will primarily focus on delivery and billable project work while providing pre-sales solution design and…
As an AI Engineer who bridges traditional machine learning and modern generative / agentic AI. This role involves designing, building, and deploying end-to-end AI solutions including classical ML models, RAG-based…
The Project Manager is responsible for leading and delivering medium-scale IT projects from initiation to completion, ensuring quality outcomes within defined scope, timeline, and budget. This role oversees daily…
As a Sales Director for the Homeland Security Tribe, you will be responsible for driving sales and business development initiatives within the Homeland Security sector. This role involves leading a team of sales…
Design, test, and refine LLM prompts and AI interaction patterns, applying PromptOps practices and collaborating with product/engineering teams to ensure safe, accurate outputs for enterprise and public-sector clients.
Cloud Platform Engineer responsible for developing, implementing, and managing AWS cloud infrastructure—including CI/CD pipelines, Infrastructure as Code via CloudFormation, and production maintenance—within an agile, cross-functional team supporting a large customer cloud environment.
Data Scientist applying statistical modelling and classical ML to validate and benchmark Gen AI solutions within NCS AI Central's Forward Deployed Engineering model, primarily using Python and SQL.
The AI Delivery Project Manager / Scrum Master leads the end-to-end delivery of AI and Gen AI projects, managing the lifecycle from proof-of-concept to production. They facilitate Agile ceremonies, manage stakeholder expectations, and ensure technical feasibility and governance compliance across multidisciplinary engineering squads.
Bridge between business stakeholders and technical teams, gathering requirements and translating them into user stories and specs to deliver AI-driven financial solutions.
Forward Deployed Engineer designing, building, and supporting AI applications on multi-cloud platforms (GCP, AWS, Azure), using services like Bedrock, Gemini Enterprise, Kubernetes, and Terraform with strong emphasis on LLMOps and Agentic Workflows.
Manages end-to-end technology/digital transformation projects, coordinates stakeholders and teams, and uses AI tools (e.g., Copilot, ChatGPT) to accelerate reporting, planning, and documentation. Core technologies include AI assistants, project management tools (JIRA, Confluence), and Agile/Waterfall methodologies.
Designs and delivers enterprise network solutions (SD-WAN, SASE, NaaS) that connect multi-site branches, data centers, and clouds, ensuring high availability, security, and business alignment.
Are you Passionate about Technology and Talent? As our NCS Talent Acquisition Intern , you’ll join us in attracting top tech minds to NCS. This hands-on internship offers you the opportunity to understand the hiring…
Build and secure cloud infrastructure on AWS, automate deployments with CI/CD, and maintain reliability for a DevSecOps team supporting hundreds of servers.
Designs and governs enterprise-scale data platforms using Databricks, GenAI, and cloud technologies, providing technical leadership for complex projects and advising stakeholders on scalable solutions.
Designs and maintains scalable data pipelines on Databricks and cloud platforms, integrating diverse sources to support analytics and ML workloads in a collaborative enterprise environment.
Owns secure-by-default Azure and Kubernetes infrastructure, automating everything-as-code while partnering with teams to enable fast, secure deployments.
Designs and leads cloud-native data platforms, AI systems, and agentic architectures for enterprises and public agencies using hyperscaler ecosystems like Google Cloud, AWS, and Azure.
Designs, automates, and secures cloud infrastructure on AWS/Azure, using IaC and CI/CD pipelines to maintain reliable, scalable systems for enterprise clients.
Junior Data Scientist builds and deploys machine learning models to solve business problems, working with stakeholders to translate needs into technical solutions using Python, ML frameworks, and MLOps tools.