Total 6 job vacancies by Acument Group Pte. Ltd.

The ideal candidate will have 4-6 years of experience working as a DevOps Engineer for a digital product team. Proficiency in programming and scripting (TypeScript or Node.js), AWS technologies, and tools like Terraform or CloudFormation is essential. Familiarity with CI/CD pipelines and container technologies is required. Experience in the Financial Services or Insurance industry is a plus. The role involves working in an Agile environment with a strong focus on collaboration and efficiency. English proficiency is a must, and Cantonese is a bonus.

Requirements:

• 4-6 years of experience as a DevOps Engineer for a sizeable digital product team.
• Strong programming and scripting skills, particularly in TypeScript or Node.js.
• Hands-on experience with AWS technologies, including EKS, Lambda, S3, RDS, and more.
• Proficient in Infrastructure as Code (IaC) tools such as Terraform or CloudFormation.
• Experience with CI/CD pipelines and tools like Jenkins or GitLab CI/CD.
• Familiarity with container technologies like Docker and Kubernetes for packaging and deploying applications.
• Worked in an Agile environment, understanding its principles and processes.
• Excellent communication skills in English; Cantonese is a plus.

Roles and Responsibilities:

• Design, implement, and manage scalable, secure, and reliable cloud-based infrastructure using AWS.
• Develop and maintain Infrastructure as Code (IaC) using tools like Terraform or CloudFormation.
• Collaborate with development teams to create, maintain, and improve CI/CD pipelines using Jenkins, GitLab CI/CD, or similar tools.
• Build and manage containerized applications using Docker and Kubernetes for deployment and scaling.
• Automate repetitive tasks and optimize workflows using scripting languages like TypeScript or Node.js.
• Monitor system performance, troubleshoot issues, and ensure high availability of applications and infrastructure.
• Work closely with cross-functional teams in an Agile environment to align DevOps practices with product development goals.
• Stay updated on emerging DevOps technologies and recommend improvements to existing systems.

The ideal candidate will have 8 to 10 years of experience managing sizeable digital product teams in matrixed and complex environments. A technical background is advantageous, as the role involves close collaboration with development teams and business stakeholders. Experience with Generative AI (GenAI) or real-world exposure to its applications is highly desired. Experience in the Financial Services or Insurance industry is a significant plus. The role requires excellent communication skills and proactive leadership. Proficiency in English is essential, while Cantonese is a bonus.

Requirements:

• 8 to 10 years of experience as a Product Owner, managing sizeable digital product teams.
• Proven experience working in matrixed and complex environments.
• Strong understanding of Agile methodologies and product lifecycle management.
• Technical background or ability to engage with development teams effectively.
• Hands-on experience or exposure to Generative AI (GenAI) is highly desired.
• Excellent communication skills, with the ability to articulate ideas and messages to stakeholders at all levels.
• Experience in Financial Services or Insurance is a significant advantage.
• KPI-driven with a results-oriented mindset.

Roles and Responsibilities:

• Define and prioritize the product backlog, ensuring alignment with business goals and stakeholder expectations.
• Collaborate closely with development teams to deliver high-quality digital products on time and within scope.
• Act as the bridge between business stakeholders and technical teams, translating business needs into actionable requirements.
• Drive product vision and strategy, ensuring alignment with organizational objectives and KPIs.
• Manage product roadmaps, ensuring transparency and effective communication with all stakeholders.
• Work within a matrix and complex environment, navigating multiple priorities and dependencies.
• Regularly engage with stakeholders at all levels, articulating key points and messages effectively.
• Monitor product performance, gather feedback, and identify opportunities for continuous improvement.
• Stay updated on industry trends, particularly within Financial Services or Insurance, to inform product direction.
• Explore and incorporate Generative AI (GenAI) solutions into product strategies, leveraging hands-on or real-world exposure to enhance digital products.

Seeking a Full Stack Developer with 3-5 years of programming experience. The ideal candidate is proficient in TypeScript, experienced with AWS, and eager to work with emerging technologies like Generative AI (GenAI). Hands-on experience with GenAI is a bonus, but a strong interest in this field is essential.

Requirements

• 3-5 years of professional programming experience.
• Strong proficiency in TypeScript and related frameworks/libraries.
• Solid understanding of AWS services, such as EC2, Lambda, S3, RDS, and CloudFormation.
• Experience with front-end technologies like React, Angular, or Vue.js.
• Strong understanding of back-end development and RESTful API design.
• Interest in Generative AI, with a willingness to explore and integrate GenAI solutions into projects.
• Familiarity with CI/CD pipelines and version control tools like Git.

Roles and Responsibilities

• Design, develop, and maintain full-stack applications, ensuring scalability, security, and high performance.
• Collaborate with cross-functional teams to gather requirements and deliver innovative technical solutions.
• Write clean, efficient, and maintainable code primarily in TypeScript.
• Develop and maintain APIs, databases, and server-side logic.
• Deploy, monitor, and troubleshoot applications on AWS cloud services.
• Stay updated on trends in GenAI and explore opportunities to integrate its capabilities into projects.
• Participate in code reviews, ensuring adherence to coding standards and best practices.
• Contribute to the design and architecture of software solutions, focusing on performance and reliability.
• Work in Agile environments, attending sprint meetings and delivering within set timelines.

The DBA - Lead will manage 2 offshore junior DBAs to help optimize database systems, data interfaces/ETL, and data warehouses. This role involves monitoring, troubleshooting, enforcing database standards, and performing backup and recovery drills. The DBA will need to provide support outside of normal working hours for emergencies and collaborate with developers and support specialists to ensure smooth operations.

Requirements:

• At least 5 years of database administration experience in a large organization.
• Proficiency in MS SQL and MySQL databases; knowledge of Oracle is a significant advantage.
• Experience with database provisioning, patch management, and monitoring tools.
• Understanding of data backup, recovery procedures, and compliance requirements.
• Familiarity with database security best practices and industry standards (SOX, ISO20000, ISO27001).
• Ability to work under pressure and respond to emergencies during off-hours.
• Excellent communication skills in English, both written and verbal; Cantonese is an advantage.
• Ability to work remotely with a self-driven attitude.

Roles and Responsibilities:

• Oversees 2 junior DBAs situated in offshore location.
• Manage and support database operations, data interfaces/ETL, and data warehouses, ensuring high availability and performance. Databases are located in SG, HK, PH and EU.
• Perform daily monitoring, analysis, and patch management of databases, including MS SQL and MySQL.
• Provision and deploy databases across Development, UAT, and Production environments.
• Collaborate with application support specialists and developers to troubleshoot issues and optimize database performance.
• Ensure compliance with database standards, guidelines, and operational policies based on SOX/ISO20000/ISO27001/ITIL standards.
• Regularly perform database backup and restoration drills to ensure compliance and data integrity.
• Prepare and maintain up-to-date documentation on database installation, configuration, and administration processes.
• Provide on-call support for emergency cases outside normal working hours as required.

Seeking to fill GenAI Developer role emphasizing the design and implementation of applications using Language Learning Models (LLMs) tailored to specific use cases and efficiency. The role involves a deep understanding of human cognitive factors, including decision-making and emotional responses, to develop AI applications that are both technologically sophisticated and emotionally attuned. The ideal candidate will have experience in AI development, especially in LLMs, and a background in psychology or cognitive science would be advantageous.

Key Responsibilities:

• Design and develop GenAI applications using LLMs for specific use cases, focusing on efficiency and effectiveness.
• Integrate insights from human cognitive processes, such as decision-making and emotional responses, into AI application development.
• Collaborate with teams to identify use cases for GenAI applications.
• Optimize the performance and user engagement of LLMs.
• Stay abreast of latest developments in GenAI, LLMs, cognitive science, and psychology.
• Test and refine applications based on user feedback and cognitive principles.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, AI, Cognitive Science, Psychology, or related fields.
• Proven experience in GenAI development, particularly with LLMs.
• Familiarity with cognitive science or psychology in decision-making and emotional response contexts.
• Strong problem-solving abilities and creative thinking.

Bonus Skills:

• Previous experience working on the design of LLMs, LangChain, and open-source solutions such as Falcon and Llama.
• Demonstrated ability in developing innovative AI solutions and contributing to open-source projects.

Work collaboratively with our engineers, product managers, and business analysts to design and implement a smart AI capable of interacting with our customers through natural language. You will be at the forefront of shaping the AI's personality and voice, ensuring its responses are accurate, informative, and personalized to each customer's needs.

Expertise In

• Architect Conversations: Design and craft effective prompts that guide LLMs to generate informative, empathetic, and contextually-aware customer interactions.
• Data Detective: Analyze user queries and conversation logs to identify patterns and optimize prompts for accuracy, efficiency, and intent understanding.
• Model Mentor: Collaborate with the ML team to fine-tune the LLM's performance through iterative prompt improvements and model adjustments.
• Domain Diplomat: Bridge the gap between the technical world of AI and the specific nuances of the insurance industry, ensuring compliance and addressing customer needs within legal and regulatory frameworks.
• Metrics Master: Design and track key performance indicators (KPIs) to evaluate the LLM's effectiveness and guide continuous improvement.

Requirements

• Masterful Storyteller: Possess exceptional writing skills and a knack for crafting natural, engaging, and precise language.
• NLP Ninja: Have a strong understanding of Natural Language Processing (NLP) concepts, including dialogue systems, intent recognition, and text analysis.
• Insurance Insider: Bring deep knowledge of the insurance industry, customer touchpoints, and regulatory landscapes.
• Technical Trailblazer: Thrive in a dynamic environment and have a passion for exploring the cutting edge of AI technology.
• Data Decoder: Enjoy diving into data, identifying patterns, and using insights to drive intelligent solutions.
• Team Player: Collaborate effectively with engineers, product managers, and business analysts to bring the AI vision to life.

Good to have

• Prior experience with prompt engineering or LLM development.
• Expertise in specific NLP libraries or frameworks (e.g., spaCy, Hugging Face Transformers).
• Understanding of conversational user interfaces (CUIs) and chatbot design principles.