Lead Data & AI Solutions Architect

Summary :

Sciente Group is a multi-award winning, ISO9001 / Great Place to Work certified, Singapore headquartered technology focused organisation with business interest in Singapore (HQ), USA, Malaysia, Philippines and India.

We are looking for a hands-on Senior Data & AI Consultant with an aptitude for building Data pipelines, Data Products and AI / ML models . This role, based in Bangalore (India) , will focus on solutioning, pre-sales support and delivering scalable data pipelines, data products, enabling ML workflows, and ensuring platform governance for enterprise-grade Data & AI solutions proposed to APAC / USA clients.

Responsibilities :

• Participate in pre-sales support, client PoC development , solution demos, and project schedule / scoping of implementation rollouts.
• Design and implement enterprise-grade data pipelines, data products and ML workflows .
• Build and maintain SQL-based transformations , automated recipes, and flow orchestration with scenarios.
• Integrate external Python / R code into DSS projects for advanced analytics use cases.
• Collaborate with data scientists, analysts, and engineering teams for scalable solution delivery.
• Enable and maintain governance, access control , and compliance frameworks .
• Monitor performance of deployed models, pipelines, and Dataiku server resources.
• Overseas travels as required for short assignments / on-site client meetings.

Experience & Skills :

Data Management :

3 to 7 years of hands-on experience in designing, building, and managing end-to-end data pipelines, data products and ML workflows , including visual recipes, Python / R code recipes, scenario automation, and model deployment.

SQL & Data Pipeline Engineering :

Strong command of SQL for data transformation, preparation, and advanced joins / aggregation. Proven experience in building high-volume, optimized ETL / ELT pipelines across structured and semi-structured data.

AI / ML Model Building :

Experience in developing and deploying machine learning models , integrating with internal / external Python libraries, feature engineering, model performance monitoring, and retraining workflows.

Data Governance & Platform Management :

Understanding of governance best practices (project security, roles, versioning, lineage, audit logging, and reusable flow zones).

Cloud Ecosystem Experience :

Working knowledge of platform like AWS (S3 / EMR / SageMaker) / Denodo / Databricks / Snowflake.

Soft Skills :

Good communication skills with clients and stakeholders.

Educational Background :

Good To Have :

Only shortlisted candidates meeting mandatory pre-requisites shall be notified.

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Confidentiality is assured, and only shortlisted candidates will be notified for interviews.