Roles and Responsibilities Conduct requirements elicitation, translating these into clear and organized business requirement, and prioritizing development and delivery in close coordination with key stakeholders and management. Lead the design and implementation of AI/ML solutions using state-of-the-art large models (e.g., GPT, Llama, BERT), focusing on scenarios such as chatbot, intelligent Q&A, agent automation, semantic search, summarization, and decision support. Fine-tune, prompt-engineer, or customize pre-trained models on domain-specific data to improve task performance. Build and maintain pipelines for data collection, preprocessing, annotation, and model training/evaluation, ensuring robustness and scalability. Evaluate model performance through metrics, A/B testing, and human-in-the-loop validation to ensure alignment with business KPIs. Collaborate with data engineers and MLOps to deploy AI models into production environments with appropriate monitoring, feedback loops, and fallback mechanisms. Support the construction of enterprise knowledge graphs, domain-specific embeddings, and data augmentation strategies to enrich LLM outputs. Research, assess, and apply the latest developments in generative AI, retrieval-augmented generation (RAG), and multimodal AI to business scenarios. Prepare technical documentation, including system architecture, model specifications, API definitions, and user guidelines to support maintainability and knowledge transfer. Present insights, results, and opportunities to both technical and non-technical stakeholders through clear storytelling and visualizations. Drive internal AI innovation initiatives and support talent enablement through training, demo sessions, and workshops. Stakeholder Management : communicate and negotiate with key stakeholders and process owners to achieve a win-win solution given the constraints on costs, resources, skills, time, and other priorities. Project Managemen t: plan, initiate, and manage constraints and deliverables to successfully complete and deliver project results. Quality Assurance : proactively manage incidents, problems, issues, and risks by implementing various techniques, methods, and best practices. Training and Support: Coordinate resources to provide training and support to business users to ensure appreciation and proper use of system functions and capabilities. Documentation and Knowledge Management: organize and prepare documentation of knowledge materials, including requirements specifications, solution design, flow charts, user manuals, etc., to ensure that all relevant information are recorded, stored, accessible and reusable. Improvement Initiatives . Research, assess, and employ best practices in data management, analysis, and controls, and continually enhance system functions and capabilities. Job Skills & Qualifications Bachelor&aposs/College Degree in Computer Science, Artificial Intelligence, Data Science, Mathematics, Statistics, Information Management, Engineering (Computer/Telecommunication) or equivalent courses. Solid experience in building and deploying NLP/LLM applications using frameworks like Hugging Face Transformers, LangChain, LlamaIndex, OpenAI API, etc. Proficiency in Python and key ML libraries: PyTorch, TensorFlow, Scikit-learn, Numpy, Pandas. Familiarity with prompt engineering, instruction tuning, fine-tuning, and knowledge retrieval techniques (e.g., RAG, vector databases). Experience working with large-scale datasets, knowledge bases, or document corpora in enterprise settings. Strong grounding in ML/DL concepts and experience applying them to real-world problems, preferably in telecommunications, customer service, or enterprise workflow automation. Experience with relational and non-relational databases such as Hive, Spark, MySQL, and vector DBs (e.g., FAISS, Weaviate, Pinecone) is a plus. Excellent communication skills in English (both written and verbal); Mandarin proficiency is a plus. Self-driven, fast learner, with strong problem-solving and critical thinking skills. Willingness to work onsite in BGC, Taguig City. Mastery in at least one programming language, such as: Python/Java/Scala, etc., and proficiency in numpy, pandas, sklearn and other tools. Willing to work onsite in BGC, Taguig City Show more Show less