- Singapore
ICON OUTSOURCING Hiring! Full Time Databricks Engineer (Contract) in , Earn up to SGD 10,000 - Ricebowl
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Job Description
Responsibilities
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)
ICON OUTSOURCING
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)
ICON OUTSOURCING
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