Senior Ai Engineer

2 days ago

Singapore SAGL CONSULTING PTE. LTD. Full time

**Main Responsibilities**:

- **Collaborate cross-functionally**with data scientists, product managers, and software engineers to identify, define, and implement AI use cases.
- **Drive the full model lifecycle**: from data preprocessing and feature engineering to training, tuning, and production deployment.
- **Architect and implement robust MLOps pipelines**, including CI/CD workflows, model versioning, monitoring, and automated retraining.
- **Mentor junior team members**and contribute to best practices across the AI/ML function.
- **Continuously optimize and scale**AI systems for performance, reliability, and cost-efficiency in production environments.
- **Contribute to architectural decisions**around data and ML infrastructure.

**Job Requirements**:
**Academic Qualifications**:

- Bachelor’s or Master’s in Computer Science, Data Science, AI, Engineering, or related fields

**Experience & Technical Skills**:

- 5-10 years of hands-on experience in machine learning and AI solution development, with at least **3+ years working on models in production**environments.
- Strong track record of **building, deploying, and maintaining ML systems at scale**.
- Expert-level Python skills and deep familiarity with ML/DL frameworks such as **TensorFlow, PyTorch, Scikit-learn**.
- Solid grasp of machine learning algorithms, data engineering workflows, and software development best practices.
- Experience working with **cloud platforms**(AWS, GCP, Azure) for training, experimentation, and deployment of ML models.
- Hands-on experience with **MLOps tools and practices**: Docker, Kubernetes, Git, CI/CD, model monitoring.
- Strong understanding of **data pipelines**, including use of orchestration tools (e.g., **Airflow**, **Kafka**).

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