Responsibilities:
- Proactively identify and engage with high-value business opportunities and potential clients who can significantly benefit from advanced AI and machine learning solutions.
- Deeply understand client business challenges, pain points, and strategic goals, translating them into clear, solvable AI/ML problems.
- Design end-to-end AI solutions, articulating compelling value propositions and the strategic roadmap for adoption.
- Conduct in-depth assessments of client data infrastructure, data governance, data quality, and overall data maturity.
- Make expert judgment calls on data AI-readiness and provide actionable recommendations for data improvement, gap identifi cation, and strategic data capitalization opportunities.
- Rapidly develop functional AI prototypes and Proof-of-Concepts (POCs) that are architecturally sound, adhere to best practices for maintainability, and are designed for production.
- Continuously research and evaluate the latest AI advancements, including Generative AI, Large Language Models (LLMs), Deep Learning, and MLOps methodologies.
Requirements:
- Minimum Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a related quantitative field.
- At least 5+ years of progressive experience in AI/ML solution design, data science, or AI engineering, with a signifi cant portion in a client-facing or consulting capacity.
- Proven experience in designing, developing, and deploying functional AI/ML prototypes that demonstrate business value and are engineered for production.
- Expert proficiency in Python and extensive experience with core AI/ML libraries (e.g., scikit-learn, TensorFlow, PyTorch).
- Demonstrated hands-on experience with Generative AI and Large Language Models (LLMs), including frameworks like LangChain, for designing and prototyping novel applications.
- Strong practical experience with Google Cloud Platform (GCP) services relevant to AI/ML (e.g., Vertex AI, BigQuery, Cloud Storage, Datafl ow, Cloud Functions).
- Proficiency with Docker for containerization and a foundational understanding of container orchestration (e.g., Kubernetes concepts for GKE).
Interested applicants, please Email , and look for
Jensen Fang Lifa
Recruit Express Pte Ltd
EA License No. 99C4599
EA Personnel Registration Number: R2197080
We regret that only shortlisted candidates will be contacted.
