Leads data analytics, ETL pipelines, and AI/ML solutions (including LLMs) for healthcare data, focusing on clinical research, predictive modeling, and stakeholder-facing dashboards to improve patient outcomes and care workflows.
Are you a motivated and creative individual eager to gain hands-on experience in sales, marketing, and business development? Do you have a passion for AI, content creation, and digital marketing? If so, we want YOU to…
Architect, train, and deploy ML models and GenAI applications for predictive maintenance, anomaly detection, and manufacturing process optimization, integrating with IoT/MES systems.
Main Responsibilities Application monitoring responsibilities Define and implement in coordination with the build team the needed application monitoring. Supervise and monitor daily and monthly chains and handle user…
As a team lead, you will oversee a team of quantitative professionals, driving research and analysis on a diverse range of external fund managers and investment strategies in delivering high-impact insights and tools…
The Machine Learning Engineer will collaborate with stakeholders to develop and deploy ML models into production using MLOps best practices. The role focuses on building scalable data pipelines, ensuring AI governance compliance, and automating model monitoring and retraining.
Key Responsibilities Executive Office and Calendar Management Provide full administrative support to the Executive Director, including complex calendar scheduling, travel planning, and meeting preparation. Act as the…
Responsibilities: Primary (80%) Lead planning, upgrades, and implementation of clinical IT systems in coordination with users and vendors. Manage annual IT workplans, procurement processes, and project execution.…
Responsibilities Planning and driving of newly set-up office, developing necessary approval papers and documents, establishing new department processes, including timeline management, stakeholder engagement, tracking…
Position: Manager, Innovation, Quality Improvement and Training Company: GMP Group Contract Details: Full-time, Lean, Six Sigma We are seeking a highly motivated and experienced Manager to join our clients. As the…
The Java Solutions Engineer will design, develop, and support banking applications while managing technical requirements and system deployments. The role focuses on Java-based web development, containerization, cloud infrastructure, and process automation.
The Intermediate Java Developer will design, build, and maintain high-quality software solutions using Java, Spring Boot, and AWS cloud infrastructure. The role involves full-stack development, L3 application support, and continuous improvement of systems within a financial context.
Responsibility: Support and assist clinical departments in identifying, designing and building models where data analytics can be applied to generate insights and facilitate decision making for business operations. To…
The Full Stack Engineer will design and build AI-native product features, integrating LLMs, RAG, and intelligent agent workflows into production systems. The role involves full-stack development using technologies like Next.js, Python, Node.js, and Kubernetes to create reliable, low-latency AI interactions.
The Full Stack Java Developer will design, implement, and deploy complex enterprise banking applications using Java, Spring Boot, and Hibernate. The role involves collaborating with technical leads and product owners to integrate DevSecOps practices and mentor junior team members.
Payroll & HRMS Management Hands on approach to prepare and oversee end-to-end payroll processing, ensuring accuracy and timely salary disbursement for Singapore & Regions. Ensure compliance with statutory requirements…
Tasked as Application Consultant, System Engineer, or Developer, with the responsibilities as below: Collaborate with clients to identify, define, and optimize business and IT requirements. Deliver end-to-end…
This role involves leading the research, design, and deployment of LLM-powered and Agentic AI solutions to address clinical and operational challenges in a healthcare setting. The position requires expertise in building automated data pipelines, RAG systems, and multi-agent orchestration frameworks.
The Data Analyst will support digital transformation projects by analyzing operational requirements, managing project implementation, and performing statistical analysis. The role utilizes tools such as Microsoft Power Platform, PowerBI, MS SQL, and Python to improve operational efficiency.
The Data Analyst will manage healthcare datasets, create dashboards, and support service operations through data analysis and process improvement projects. The role involves utilizing tools like Tableau and Power BI to optimize patient experience and care quality.