System Analyst

2 days ago

Singapore Accolite Digital Full time

**Job Title**: System Analyst (MLOps + Business Analysis)
**Location**: Singapore
**Experience**: 5+ years
**Notice Period**: Immediate to 30 days

**Key Responsibilities**:

- **Design, implement, and optimize MLOps pipelines** for deploying and monitoring machine learning models in production.
- Work closely with **data scientists, engineers, and business teams** to automate ML workflows and ensure seamless model deployment.
- Implement **CI/CD pipelines for ML models**, enabling efficient model retraining, versioning, and rollback strategies.
- Monitor model performance, handle drift detection, and automate retraining strategies.
- **Gather business requirements**, perform feasibility analysis, and translate them into **technical MLOps solutions**.
- Collaborate with IT and DevOps teams to integrate ML models with existing **cloud platforms (AWS, GCP, Azure)**.
- Optimize ML model serving using **containerization (Docker, Kubernetes)** and model hosting solutions (SageMaker, MLflow, TensorFlow Serving).
- Ensure compliance with data governance, security, and regulatory requirements.

**Required Skills & Experience**:

- **5+ years of experience** in **MLOps implementation** and **Business Analysis**.
- Strong hands-on experience with **MLOps tools** such as MLflow, Kubeflow, Airflow, or SageMaker.
- Proficiency in **CI/CD for ML models** using Jenkins, GitHub Actions, or similar tools.
- Experience with **containerization and orchestration** (Docker, Kubernetes).
- Expertise in **Python, TensorFlow, PyTorch, Scikit-learn**, or similar ML frameworks.
- Familiarity with **cloud platforms** (AWS, GCP, Azure) and ML services.
- Strong knowledge of **data pipelines, model monitoring, and drift detection**.
- Experience working in a **business analysis role**, translating business needs into technical solutions.
- Excellent communication and stakeholder management skills.

**Preferred Qualifications**:

- Experience with **data engineering workflows** and ETL pipelines.
- Knowledge of **API development** for model serving and integration.
- Experience in **financial services, healthcare, or retail** industries is a plus.

**Why Join Us?**
- Work on cutting-edge **MLOps implementations** in a dynamic environment.
- Opportunity to bridge **business and AI-driven solutions**.
- Competitive salary and benefits package.

Pay: $8,500.00 - $12,500.00 per month

**Benefits**:

- Health insurance

Schedule:

- Monday to Friday

Work Location: Hybrid remote in Downtown Core

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