- Singapore
全职 Senior ML-AI Engineer 工作, 薪水, Tech Aalto Pte Ltd 公司招聘中 - Ricebowl
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职位描述
岗位职责
Singapore (Singapore)
Senior ML/AI Engineer
Technical & Professional Competencies: Essential (Must-Have)
When you apply, you voluntarily consent to the disclosure, collection and use of your personal data for employment/recruitment and related purposes in accordance with the Tech Aalto Privacy Policy, a copy of which is published at Tech Aalto’s website (*************)
Confidentiality is assured, and only shortlisted candidates will be notified for interviews.
- Education: Degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, Information Systems or a related technical discipline.
- Experience: Typically 4–7 years of relevant software, data or ML engineering experience, including hands-on delivery and operation of ML/AI systems beyond prototype stage. Candidates with fewer years but strong evidence of end-to end production ownership may also be considered.
Technical & Professional Competencies: Essential (Must-Have)
- Strong Python and software-engineering capability, including APIs, packaging, automated testing, Git, code review, debugging and modular design.
- Hands-on experience with Databricks and MLflow for experiment tracking, model registry, workflow orchestration or model serving.
- Strong hands-on experience with Spark/PySpark and SQL, including distributed data processing, query optimisation, partitioning, joins, incremental processing and troubleshooting data pipelines.
- Experience designing and implementing lakehouse or data-lake pipelines using Databricks, Delta Lake and AWS S3, including Bronze, Silver and Gold data-layer patterns.
- Experience with data modelling, schema design, data contracts, metadata, lineage, data-quality validation and reconciliation for production analytics and ML datasets.
- Experience orchestrating batch or streaming workflows using Databricks Workflows, AWS Glue, Step Functions, EventBridge, Apache Airflow or an equivalent enterprise orchestration tool. Hands-on AWS data and cloud engineering experience with a relevant mix of S3, Glue, Lake Formation, IAM, KMS, ECR, ECS/EKS, Lambda, Step Functions, EventBridge, CloudWatch, API Gateway, Secrets Manager, Redshift, MSK/Kinesis or equivalent approved services.
- Experience with Docker, infrastructure as code such as Terraform, and CI/CD platforms such as GitLab CI, GitHub Actions, Jenkins or Harness.
- Understanding of ML lifecycle controls covering data validation, feature engineering, training, evaluation, deployment, monitoring, drift, retraining and retirement.
- Ability to implement reproducibility and traceability across code, datasets, features, parameters, environments, prompts and model artefacts.
- Experience implementing system and model observability, alerts, runbooks, incident diagnosis and rollback or recovery procedures.
- Working knowledge of cloud security, least-privilege access, encryption, secrets management, vulnerability management and audit logging
When you apply, you voluntarily consent to the disclosure, collection and use of your personal data for employment/recruitment and related purposes in accordance with the Tech Aalto Privacy Policy, a copy of which is published at Tech Aalto’s website (*************)
Confidentiality is assured, and only shortlisted candidates will be notified for interviews.
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