Data & Machine Learning Engineer

2 weeks ago


Singapore Percept Solutions Full time

**Key Responsibilities**:

- Build, automate, and optimize ETL/ELT pipelines to ensure smooth data flow and availability across the Lakehouse platform.
- Ensure data quality by implementing monitoring mechanisms to guarantee consistency, reliability, and compliance.
- Continuously monitor ML models, retrain and adjust them as necessary to maintain high performance.
- Design and implement CI/CD pipelines for seamless model deployment and ensure reliable delivery of models into production environments.
- Provide guidance and mentorship to junior engineers, supporting their growth and enhancing project delivery capabilities.

**Skills & Experience**:

- Strong teamwork skills, able to align data solutions with business needs, and communicate effectively across technical and non-technical teams.
- Expertise in analyzing data-driven insights and translating them into technical solutions.
- Proficient in designing and implementing data pipelines using Databricks and Spark.
- Advanced skills in SQL and Python for querying, modeling, and transforming data efficiently.
- Expertise in deploying machine learning models and creating APIs for serving predictions.
- Skilled in processing large-scale datasets and supporting machine learning workflows on Databricks.
- Experience in building CI/CD pipelines for automated deployment, testing, and validation of data pipelines and ML models using GitHub and GitHub Actions.
- Proven ability to monitor ML model performance, track key metrics, and maintain accuracy.
- Experience with automating cloud infrastructure using tools like Terraform for consistent deployment and scaling.
- Basic knowledge of Power BI for visualizing model performance and metrics.

**Qualifications Required**:

- 5+ Years in Data Engineering: Solid experience building and maintaining data infrastructure, including best practices in data pipeline development.
- 3+ Years in Machine Learning Engineering: Demonstrated experience managing the lifecycle of ML models from deployment to monitoring and retraining.
- Business & Data Transformation: Proven track record in supporting business transformation and process improvements by leveraging data-driven solutions.
- Agile Methodologies: Comfortable working in Agile environments with the ability to adapt and respond quickly in fast-paced settings.

EA Licence No.:18S9405 / EA Reg. No.:R1330864

Pay: $8,000.00 - $14,000.00 per month

Schedule:

- Day shift
- Monday to Friday

Work Location: In person


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