Senior Data Scientist: AI/ML Pipelines & Production

Epergne Solutions; Singapore; On-site; SGD 180,000 - 240,000; Full time

Job summary

Epergne Solutions is seeking a Senior Data Scientist (AI/ML) to design and build data pipelines and production ML models for analytics and business use cases. You will collaborate with data engineering on pipeline design, validate models, and ensure outputs are usable by downstream applications.

Ideal candidates have a Bachelor's in CS/Engineering/Data Science and 8+ years’ experience, with strong Python/SQL and cloud experience (Databricks, AWS). The role is based in Singapore on-site.

Qualifications

• Bachelor's degree in CS/engineering/data science or related field.
• 8+ years of data science and ML experience in production.
• Proven ML model development and deployment experience.
• Strong Python and SQL skills; experience with cloud data platforms.

Responsibilities

• Design and build data pipelines and backend services for ingestion and processing.
• Develop, deploy, and maintain production ML models.
• Analyze data to identify analytics, AI, and ML use cases.
• Collaborate with data engineering on pipeline design.
• Support hypothesis testing and model validation for business use cases.
• Ensure data models and outputs are accessible for downstream apps.
• Document model development, pipeline architecture, and decisions.
• Share knowledge and contribute to team capability development.

Skills

Python

SQL

Databricks

AWS

ML model deployment

MLOps

GenAI

LLM

Data pipelines

Communication

Education

Bachelor's degree in Computer Science, Engineering, Data Science, or a related field

Tools

Databricks Platform

AWS Cloud

Job description

Epergne Solutions is seeking a Senior Data Scientist (AI/ML) to design and build data pipelines and production ML models for analytics and business use cases. You will collaborate with data engineering on pipeline design, validate models, and ensure outputs are usable by downstream applications.

Ideal candidates have a Bachelor's in CS/Engineering/Data Science and 8+ years’ experience, with strong Python/SQL and cloud experience (Databricks, AWS). The role is based in Singapore on-site.