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AI工程师

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Onsite

AI工程师

友邦科技

AI工程师

Skills

Google Cloud PlatformSQL QueriesMongoDBDockerPythonMicroservicesPyTorchTensorFlowPostgreSQLMySQLKafkaRedisMachine LearningAIAWSKubernetesOracleAzure

1 year ago

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Important information


Contract type:

Permanent

Location:

Chengdu, Sichuan, China

Work mode:

Onsite

Published on:

7 August 2026

What they need


该职位来源于猎聘 Roles and Responsibilities: 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. Minimum Job Requirements: 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.

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