Senior AI Engineer - (AI, ML, Data Scientist)

Sciente Consulting; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Sciente Consulting in Singapore seeks a Senior AI Engineer to design, build, and deliver next-generation AI solutions for enterprise banking projects. You will collaborate with business stakeholders, data teams, and platform engineers to develop scalable, secure, and responsible AI systems.

You will lead ML initiatives across data processing, model development, deployment, and monitoring, work with LLMs and orchestration tools, ensure governance and compliance, and contribute to reusable AI

Qualifications

• Bachelor's or Master's degree in AI, ML, DS, CS, or related field.
• 8+ years of experience in software development, data science, or ML engineering.
• 3+ years in dedicated AI engineering roles.
• Proven experience across the full ML lifecycle: data processing, model development, deployment, monitoring, and optimization.
• Experience with Python and AI/ML frameworks such as pandas, scikit-learn, TensorFlow, PyTorch.
• Hands-on experience with Large Language Models and orchestration frameworks such as LangChain, LangGraph, vLLM, or LMDeploy.
• Solid understanding of NoSQL databases.
• Experience with MLOps platforms such as MLflow, Airflow, Kubeflow, or similar.
• Familiarity with cloud platforms (GCP or AWS) for AI development and deployment.
• Knowledge of supervised/unsupervised learning, NLP, time-series modeling.
• Experience with CI/CD, Docker, and Kubernetes.
• Strong understanding of AI governance, model risk management, and related regulatory frameworks.

Responsibilities

• Collaborate with business stakeholders to understand use cases, define AI solution approaches, and build PoCs when required.
• Engineer, deploy, and maintain ML models in production using MLOps practices (versioning, CI/CD, observability, monitoring).
• Build and maintain scalable data pipelines and monitor model performance across environments.
• Ensure all AI solutions comply with organizational AI policies and audit/regulatory requirements.
• Support data exploration, feature engineering, and hands-on model development when necessary.
• Automate model retraining, testing, evaluation, and performance monitoring workflows.
• Document ML workflows, governance controls, and model risk assessments.
• Partner with CloudOps, DevOps, IT, and Security teams to integrate AI solutions into enterprise platforms.
• Contribute to continuous improvement of engineering standards, automation, and reusable AI components.

Skills

8+ years experience in software/dev/ML

3+ years in AI engineering

Python programming

ML lifecycle expertise

CI/CD practices

Docker & Kubernetes

Cloud platforms (GCP/AWS)

NoSQL databases

LLMs & orchestration tools

AI governance & risk management

Data privacy & compliance awareness

Education

Bachelor's or Master's in AI/ML/DS/CS

Tools

Pandas

scikit-learn

TensorFlow

PyTorch

LangChain/LangGraph/vLLM/LMDeploy

MLflow/Airflow/Kubeflow

Docker

Kubernetes

Job description

Job Summary

We are seeking a Senior AI Engineer to join a growing engineering team to design, build, and deliver next-generation AI solutions for enterprise projects in banking industry. In this role, you will collaborate with business stakeholders, data teams, and platform engineering groups to develop scalable, secure, and responsible AI systems.

Mandatory Skill-set

• Bachelor's or Master's degree in Artificial Intelligence, Machine Learning, Data Science, Computer Science, or a related field;


• Must have 8+ years of experience in software development, data science, or ML engineering,


• Must have 3+ years in dedicated AI engineering roles;


• Proven experience across the full ML lifecycle: data processing, model development, deployment, monitoring, and optimization;


• Must have experience in Python and widely used AI/ML frameworks such as pandas, scikit-learn, TensorFlow, PyTorch, and others;


• Hands-on experience working with Large Language Models (LLMs) and orchestration frameworks such as LangChain, LangGraph, vLLM, or LMDeploy;


• Solid understanding of NoSQL databases;


• Experience with MLOps platforms such as MLflow, Airflow, Kubeflow, or similar;


• Familiarity with modern cloud platforms (GCP or AWS) for AI development and deployment;


• Knowledge of supervised/unsupervised learning, NLP, time-series modeling, and related data science techniques;


• Experience with CI/CD, Docker, and Kubernetes;


• Strong understanding of AI governance, model risk management, and related regulatory frameworks.

Desired Skill-set

• Experience with Responsible AI frameworks, fairness/bias assessment, and model explainability tools;


• Exposure to graph databases;


• Exposure to feature stores, model registries, and data/version management tools;


• Understanding of data privacy, anonymization, and compliance requirements in regulated industries.

Responsibilities

• Collaborate with business stakeholders to understand use cases, define AI solution approaches, and build Proofs of Concept (PoCs) when required;


• Engineer, deploy, and maintain machine learning models in production using best-in-class MLOps practices (model versioning, CI/CD, observability, monitoring and others;


• Build and maintain scalable, maintainable data pipelines and monitor model performance across environments;


• Ensure all AI solutions comply with organizational AI policies, responsible AI guidelines, and audit/regulatory requirements;


• Support data exploration, feature engineering, and hands-on model development when necessary.


• Automate model retraining, testing, evaluation, and performance monitoring workflows;


• Document ML workflows, governance controls, and model risk assessments;


• Partner with CloudOps, DevOps, IT, and Security teams to successfully integrate AI solutions into enterprise platforms;


• Contribute to continuous improvement of engineering standards, automation, and reusable AI components.

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

EA Licence No. 07C5639