AI Engineer – Associate Director
Accenture · Singapore
Full-timeonsitemidEngineeringAIMachine LearningMLOpsPythonData Engineering
รายละเอียดงาน / Description
Based in Singapore, this role involves delivering enterprise-grade machine learning solutions and intelligent applications within client-facing delivery teams. You will design, train, and deploy sophisticated predictive models while building scalable data pipelines and robust model serving architectures. The position combines hands-on software development with modern operational practices to solve complex organizational challenges at scale.
หน้าที่ความรับผิดชอบ / Responsibilities
- Design, build, and deploy production-level AI applications and REST or event-driven APIs.
- Train and fine-tune machine learning models across supervised, unsupervised, and time-series domains.
- Architect and maintain scalable data pipelines, ETL workflows, and data quality checks.
- Integrate ML models into enterprise systems using robust serving infrastructures.
- Implement MLOps practices, including CI/CD automation, experiment tracking, and model monitoring.
- Collaborate with clients and technical leaders to translate business objectives into engineering specifications.
คุณสมบัติ / Qualifications
- At least 3 years of production software engineering experience utilizing Python.
- Proven track record of building and deploying machine learning models to production.
- Solid understanding of core machine learning concepts, feature engineering, and evaluation techniques.
- Minimum 2 years of experience developing data pipelines, SQL queries, and ETL workflows.
- Familiarity with major cloud platforms such as AWS, Azure, or GCP alongside containerization.
- Hands-on expertise with MLOps methodologies, model versioning, and testing pipelines.
ทักษะที่ต้องการ / Required skills
- Python
- Machine Learning
- PyTorch
- TensorFlow
- scikit-learn
- SQL
- ETL
- MLOps
- CI/CD
- Cloud Computing
ทักษะเพิ่มเติม / Nice to have
- FastAPI
- MLflow
- Deep Learning
- NLP
- Computer Vision
- BentoML
- KServe
- Weights & Biases