Databricks Engineer (Contract)

ICON OUTSOURCING; Singapore; In loco; SGD 90.000 - 150.000; Tempo pieno

Descrizione del lavoro

ICON OUTSOURCING in Singapore seeks a data science/AI engineer to collaborate with business users, translating priorities into AI-ready solutions that deliver measurable value.

You will explore techniques such as LLMs, predictive models, text analytics, and fraud detection, integrate Databricks with cloud platforms, and build APIs and frontends to support AI applications. Strong Python, SQL and BI tool skills are essential.

Competenze

• Bachelor's degree in a CS/ML/AI field.
• Applied AI/ML techniques for regression and classification.
• Experience with Python data science libraries (pandas, scikit-learn, etc).
• Familiar with LLM concepts and prompt strategies.
• Proficient in Git and SQL.
• Experience with BI tools and dashboards.

Mansioni

• Collaborate with business users to understand priorities and translate into AI/ML solutions.
• Research and apply AI/data science techniques relevant to business needs.
• Data wrangling, preprocessing, and feature engineering.
• Develop backend APIs/services to deploy AI models.
• Build frontend interfaces for AI-powered applications.
• Maintain deployed models and monitor performance.
• Review security vulnerabilities and document changes.

Conoscenze

AI/ML techniques

Python packages

LLM concepts

Prompt optimization

Git

SQL

BI tools

Formazione

Bachelor's degree in Computer Science / ML / AI

Strumenti

Git

Databricks

Tableau

Power BI

Qlik

MicroStrategy

SQL

Descrizione del lavoro

Responsibility

• Collaborating with business users to understand their key priorities and use cases; proposing and developing solutions using data science and/or Generative AI techniques to drive business value
• Researching emerging AI/data science techniques and identifying relevant ones for EDB to explore and adopt (e.g., agentic, LLM, predictive, fraud/anomaly detection, text analytics, customer segmentation), Integrate Databricks with cloud platforms such as AWS, Azure or GCP and Implement CI/CD pipelines for Databricks projects.
• Data wrangling & analysis - preprocessing, cleaning and feature engineering
• Supporting daily operations and maintenance of deployed data science models and products, including assistants on PAIR/AIBots
• Developing backend APIs and services to support AI model deployment and integration
• Building frontend interfaces and user experiences for AI-powered applications
• Documenting changes to existing products
• Reviewing and implementing fixes for reported security vulnerabilities.

Requirements

• Minimum of a bachelor's degree in computer science, computer engineering, machine learning/data science/AI or related disciplines;
• Able to to understand and apply a range of AI/ML techniques for regression and classification
• Familiar with popular Python packages (e.g., pandas, matplotlib, scikit-learn, XGBoost, NLTK, spaCy)
• Understanding of LLM concepts (e.g. context windows, embeddings, chunking, token management) and architectures (e.g. RAG)
• Experience with context engineering techniques and prompt optimization strategies
• Proficient in git, SQL
• Proficiency in business intelligence tools (e.g., Tableau, Qlik, MS Power BI, Microstrategy)