1 month ago
Singapore, SingaporeMid Level
Responsibilities
- Design and architect AI solutions for knowledge assistants, document intelligence, workflow automation, decision support, and predictive analytics.
- Write clean, maintainable, production-quality Python code using best practices and design patterns.
- Develop end-to-end AI pipelines covering data preprocessing, model development, prompt engineering, retrieval workflows, and API design.
- Partner with business, product, engineering, data, and architecture stakeholders to translate requirements into AI-enabled solutions.
- Prototype, test, and refine AI models, prompts, and workflows to improve performance, reliability, and business value.
- Ensure AI solutions meet security, privacy, governance, and responsible AI requirements.
Requirements
- At least 4 years of experience in AI/ML development, data science, or AI engineering.
- Hands-on experience deploying AI/ML solutions in production enterprise environments.
- Strong Python proficiency and at least one additional language such as Java, TypeScript, Scala, or Go.
- Hands-on experience with generative AI and LLM-based applications, including prompt engineering, fine-tuning, and RAG.
- Familiarity with OpenAI, Hugging Face, or Anthropic and vector databases such as Pinecone, Weaviate, or Milvus.
- Experience deploying AI solutions on at least one cloud platform: AWS, Azure, or GCP.
- Understanding of enterprise security, data governance, and responsible AI principles.
- Preferred qualifications include a master's degree or advanced certification in Machine Learning, AI, Data Science, or Computer Science; regulated-industry experience; document processing or intelligent search experience; and experience with MLOps, multi-agent systems, or scaling AI solutions from prototype to production.
Benefits
- Professional development opportunities, interesting work, and supportive leaders.
- Inclusive and flexible work environment with opportunities to create solutions and have impact.
- Career opportunities and benefits and rewards supporting employee well-being.
- Hybrid work in Singapore requiring at least three days per week in the local office or onsite with clients, with office-based teams identifying at least one weekly anchor day.
Tech Stack
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