Job Opportunities API

Activate Interactive Pte Ltd (“Activate”) is a leading technology consultancy headquartered in Singapore with a presence in Malaysia and Indonesia. Our clients are empowered with quality, cost-effective, and impactful end-to-end application development, like mobile and web applications, and cloud technology that remove technology roadblocks and increase their business efficiency. We believe in positively impacting the lives of people around us and the environment we live in through the use of technology. Hence, we are committed to providing a conducive environment for all employees to realise their full potential, who in turn have the opportunity to continuously drive innovation. We are searching for our next team members to join our growing team. If you love the idea of being part of a growing company with exciting prospects in mobile and web technologies that create positive impact on people’s lives, then we would love to hear from you. This posting is part of our Talent Pipeline Initiative—we’re proactively connecting with talent who are interested in future opportunities with us over the next 3–6 months. While this is not for an immediate opening, strong candidates will be prioritised as roles become available. What You’ll Likely Work On and depending on project needs, you may: What will you do? As a Data Scientist, you will use data science and Generative AI techniques to develop models and products that support a range of divisions across investment promotion, industry development and corporate functions. You will have the opportunity to partner closely with key stakeholders to identify business challenges, translate requirements into technical solutions, and deliver AI and Machine Learning products that drive measurable outcomes. Collaborating with business users to understand their key priorities and use cases; proposing and developing solutions using data science and/or Generative AI techniques to drive business value Researching emerging AI/data science techniques and identifying relevant ones for EDB to explore and adopt (e.g. Agentic, LLM, Predictive, Fraud/Anomaly Detection, Text Analytics, Customer Segmentation) Data wrangling & analysis - preprocessing, cleaning and feature engineering Supporting the daily operations and maintenance of deployed data science models and products, including Assistants on PAIR / AIBots Developing backend APIs and services to support AI model deployment and integration Building frontend interfaces and user experiences for AI-powered applications Documenting changes to existing products Reviewing and implementing fixes for reported security vulnerabilities Requirements What are we looking for? Minimum of Bachelor’s Degree in Computer Science, Computer Engineering, Machine Learning / Data Science / AI or related disciplines; Able to understand and apply a range of AI/ML techniques for regression and classification Familiar with popular python packages ( e.g. pandas, matplotlib, scikit-learn, XGBoost, NLTK, spaCy ) Understanding of LLM concepts (e.g. context windows, embeddings, chunking, token management) and architectures (e.g. RAG) Experience with context engineering techniques and prompt optimization strategies Proficient in git, SQL Proficient in Business Intelligence tools (e.g. Tableau, Qlik, MS PowerBI, Microstrategy) Proficient in modern programming languages (e.g. typescript, C#) Experience in cloud platform and services preferably in AWS Experience in Docker/Kubernetes Experience with web frameworks and full-stack development, including backend frameworks (e.g. FastAPI, Flask, Express.js) and RESTful API development, and frontend technologies (e.g. React, Vue.js, HTML/CSS, TypeScript) Experience with LLM frameworks (e.g. LangChain, LlamaIndex, Hugging Face Transformers) Knowledge of vector databases and embedding techniques (e.g. Pinecone, Chroma, FAISS) Understanding of AI agent frameworks and multi-a