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.
