Job Description

Role :

AI Solutions Engineer (Dataiku & Advanced Analytics)

Location:

Singapore

Years of Experience:

8 Years in IT Field, 3+ Years in Dataiku DSS

Key Responsibilities

Data Pipeline Development in Dataiku: Design, build, and maintain scalable end-to-end data workflows using Dataiku DSS, leveraging both visual recipes and custom code (Python, SQL). Python Development for AI & Automation: Develop and optimize Python scripts for data transformation, feature engineering, and integration with external systems; implement reusable components for automation. Machine Learning & Modern Algorithms: Design, train, and deploy ML models using Dataiku ML recipes and advanced algorithms (e.g., Gradient Boosting, Neural Networks, Transformers); ensure model explain ability and performance optimization. AI SDLC Implementation: Apply best practices across the AI lifecycle--data preparation, model development, validation, deployment, and monitoring--ensuring reproducibility and governance. API Integration & Data Exchange: Consume and expose REST APIs for data ingestion and output; integrate with cloud/on-prem systems for seamless data flow. SQL & Data Source Management: Write and optimize SQL queries for data extraction, aggregation, and schema mapping; connect to diverse data sources (databases, APIs, cloud storage). Model Deployment & Monitoring: Operationalize models using Dataiku deployment features and CI/CD pipelines; implement monitoring for drift detection and retraining. Collaboration & Documentation: Work closely with data scientists, architects, and business teams; maintain clear documentation of workflows, models, and processes.

Mandatory Skills and Qualifications

Experience: 8+ years in IT, with at least 3 years hands-on in Dataiku DSS. Python Expertise: Strong proficiency in Python for data manipulation, ML model development, and automation within Dataiku. Modern Algorithms: Practical experience with supervised/unsupervised learning, deep learning, and optimization techniques. AI SDLC Knowledge: Proven ability to manage the full AI lifecycle, including version control, testing, deployment, and monitoring. SQL Proficiency: Advanced SQL skills for query development and performance tuning. Machine Learning Deployment: Experience deploying models in production environments, preferably using Dataiku's deployment capabilities. Data Source Integration: Ability to connect and map data from multiple heterogeneous sources. Reporting & Visualization: Familiarity with generating automated reports and dashboards within Dataiku or external BI tools.

Preferred Skills

Knowledge of MLOps tools (MLflow, DVC, Kubeflow)

Location

Singapore

Job Function

TECHNOLOGY

Role

Engineer

Job Id

373519

Desired Skills

Artificial Intelligence | SQL
Desired Candidate Profile

Qualifications

: Others