Responsibilities

Collaborate with business stakeholders to understand use cases and define AI solution; work on Proof of Concepts wherever needed
Engineer and deploy ML models into production using MLOps best practices (model versioning, monitoring, CI/CD, etc.)
Build & maintain data pipelines and model performance for scalability and maintainability.
Ensure all models adhere to organizational AI policies, responsible AI practices, and audit requirements.
Support data exploration, feature engineering, and occasional model building where needed.
Automate model retraining, testing, and monitoring to ensure performance over time.
Document ML workflows, governance checkpoints, and risk assessments.
Partner with CloudOps,DevOps, IT, and security teams to integrate solutions into enterprise platforms.

Skills & Experience

Have degree or master’s degree in the field of AI / ML and data science with proven ability to design and develop models
8+ years of experience in software development, data science and ML, with at least 3+ years in AI engineering roles.
Proven experience in end-to-end ML lifecycle: data wrangling, model development, deployment, and monitoring.
Strong programming skills in Python with Solid knowledge of AI/ML, including LLMs and data science libraries like pandas, scikit-learn, TensorFlow/PyTorch, etc
Experience with LLM Orchestration frameworks like Langchain, LangGraph, vLLM, LMDeploy
Strong knowledge in NoSQL databases (any experience in Graph database is desirable)
Experience with MLOps tools: MLflow, Airflow, Kubeflow, or similar.
Familiarity with either of cloud platforms (GCP, AWS) for AI Solutioning and ML deployment.

Ikas International (Asia) Pte Ltd

“Sanderson-iKas” is the brand name for iKas International (Asia) Pte Ltd

EA License No: 16S8086 | EA Registration No. R1988468

We regret to inform you that only shortlisted candidates will be notified /contacted.

AI/ML Engineer