该职位来源于猎聘 Development (80%)
- Conduct research in AI/ML and explore novel models, tools, and techniques.
- Prototype and experiment state-of-the-art approaches.
- Collaborate with data scientists and engineers to translate research findings into practical solutions.
- Develop and execute rigorous evaluation methodologies and metrics.
- Tune AI model accuracy, efficiency, and robustness.
- Evaluate technical viability, risks, and resource requirements of integrating AI/ML components to solutions.
- Design, implement, test, and deliver AI engines as microservices.
- Contribute to software architecture design and drive improvements.
- Develop enterprise-scale MVP and subsequent roll-out to future areas.
- Ensure highest technical quality of deliverables and ensure they are cost-effective to maintain by incorporating automated product testing for functions, performance, and security.
- Contribute relevant, clean, concise, and quality documentation to AIA knowledge base to support/increase information sharing within the organization.
- Work across multiple projects simultaneously. Able to multi-task and manage multiple assignments in a fast-paced environment.
- Process bug reports and release fixes.
- Participate in code reviews.
- Participate in Agile processes.
- Think critically and innovatively to solve problems.
- Keep up to date with industry developments, new systems, AI technology, trending solutions, etc. Governance (20%)
- Collaborate with software architects to compile and maintain AI engineering guidelines.
- Provide technical leadership in AI engineering.
- Guide development teams in implementing AI services, ensuring best practices and adherence to engineering standards. Must Qualifications
- Bachelor's degree or higher in computer science, engineering, science, or related fields, or equivalent in experience and evidence of exceptional ability.
- Minimum 6 years of hands-on experience in AI/ML engineering.
- Proficiency in Python, TensorFlow, PyTorch, or similar frameworks.
- Proven experience in at least 1 popular database, preferably Azure SQL, Microsoft SQL, MySQL, PostgreSQL, Oracle, MongoDB.
- Experience in cloud platforms, e.g., AWS, Azure, GCP.
- Customer focus.
- Good team player.
- Strong communication skills in English, Mandarin, or Cantonese. Preferred Qualifications
- Knowledge/experience in generative AI such as large language models and image generators is a strong plus.
- Experience in DevOps, ML Ops and LLM Ops.
- Experience in distributed system tools, such as Docker, Kubernetes, OpenShift, Redis, Kafka, etc.
- Experience in Agile/Scrum software development process.