Senior Python AI/ML Engineer - Time-Series & Databricks

RECRUIT EXPRESS PTE LTD; Singapore; On-site; SGD 150,000 - 190,000; Full time

Job summary

RECRUIT EXPRESS PTE LTD is seeking a senior Python/AI engineer to develop and maintain Python-based applications and AI/ML solutions in a data-driven environment. You will build predictive models, perform forecasting, and deploy ML pipelines using Databricks and PySpark.

Applicants should have 5+ years of Python development, strong AI/ML experience, and proficiency with Databricks, SQL and ML libraries. Collaboration with data scientists and business stakeholders is essential.

Qualifications

• Bachelor’s degree in Computer Science, Data Science, AI, Engineering or a related discipline.

Responsibilities

• Develop and maintain Python-based applications and AI/ML solutions.
• Build and deploy machine learning and predictive models to solve business problems.
• Perform time-series forecasting, including data preparation, feature engineering, model development, validation and optimisation.
• Develop data processing and ML pipelines using Databricks.
• Work with large datasets using Databricks, PySpark and SQL.
• Integrate AI/ML models into applications and business workflows.
• Develop APIs and backend services using Python frameworks such as FastAPI, Flask or Django.
• Collaborate with data scientists, engineers and business stakeholders to translate business requirements into scalable technical solutions.
• Monitor, troubleshoot and optimise deployed AI/ML solutions.
• Any other ad-hoc duties as assigned by supervisor

Skills

Python

AI/ML development

Time-series forecasting

REST APIs

Git

Education

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

Tools

Databricks

PySpark

SQL

Scikit-learn

TensorFlow

PyTorch

FastAPI

Flask

Django

Git

Docker

CI/CD

Cloud platforms

Job description

RECRUIT EXPRESS PTE LTD is seeking a senior Python/AI engineer to develop and maintain Python-based applications and AI/ML solutions in a data-driven environment. You will build predictive models, perform forecasting, and deploy ML pipelines using Databricks and PySpark.

Applicants should have 5+ years of Python development, strong AI/ML experience, and proficiency with Databricks, SQL and ML libraries. Collaboration with data scientists and business stakeholders is essential.