Senior AI ML Engineer (JD#10825)

Role - Senior AI ML Engineer (JD#10825)

Job Summary

We are seeking a Senior AI/ML Engineer in Singapore. In this role, you will design, build, and deploy end-to-end AI/ML solutions that combine traditional machine learning with cutting-edge Generative AI (LLMs, agentic frameworks).You will collaborate with business stakeholders to translate complex use cases into scalable AI systems, while ensuring compliance with Responsible AI practices, governance standards, and regulatory requirements.

Mandatory Skill-set

• Degree/Master’s in AI/ML, Data Science, or Computer Science;
• 8+ years in software/ML, with 3+ years in AI engineering;
• Strong Python programming; ML frameworks (TensorFlow, PyTorch, scikitlearn);
• Experience with LLM orchestration (LangChain, LangGraph, vLLM, LMDeploy);
• Knowledge of NoSQL/Graph databases;
• Hands on with MLOps tools (MLflow, Airflow, Kubeflow);
• Familiarity with AWS/GCP for ML deployment;
• Proficiency in CI/CD, Docker, Kubernetes;
• Solid understanding of AI governance, risk management, compliance.

Desired Skill-set

• Experience with Responsible AI frameworks and bias/fairness testing;
• Exposure to feature stores, model registries, and data versioning;
• Knowledge of data privacy, anonymization, and compliance in regulated industries (banking, healthcare, etc.);
• Familiarity with graph databases and advanced NoSQL solutions;
• Strong awareness of risk management and governance in AI deployments.

Responsibilities

• Collaborate with business stakeholders to understand use cases and define AI/ML solutions; build Proof of Concepts when required;
• Design, engineer, and deploy ML models into production using MLOps best practices (versioning, monitoring, CI/CD);
• Build and maintain scalable data pipelines and ensure model performance over time;
• Automate model retraining, testing, and monitoring to maintain accuracy and reliability;
• Ensure all models comply with Responsible AI practices, governance policies, and audit requirements;
• Support data exploration, feature engineering, and occasional model building;
• Document ML workflows, governance checkpoints, and risk assessments;
• Partner with CloudOps, DevOps, IT, and Security teams to integrate AI solutions into enterprise platforms;
• Work autonomously while maintaining close communication with stakeholders in a multicultural environment.

Should you be interested in this career opportunity, please send in your updated resume to [email protected] at the earliest.

When you apply, you voluntarily consent to the disclosure, collection and use of your personal data for employment/recruitment and related purposes in accordance with the SCIENTE Group Privacy Policy, a copy of which is published at SCIENTE’s website (https://www.sciente.com/privacy-policy).

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

EA Licence No. 07C5639