AI/ML Senior Engineer - Singapore - ADECCO PERSONNEL PTE LTD

    ADECCO PERSONNEL PTE LTD
    ADECCO PERSONNEL PTE LTD Singapore

    1 day ago

    Full time
    Description

    Job Summary
    Adecco is partnering with one of the most well-established and respected financial institution with a strong track record of success. They have a culture of innovation and continuous improvement, constantly looking for ways to improve their services and offerings. Our client is looking for a AI/ML Senior Engineer to design, build and deploy end-to-end machine learning solutions. Candidates would have the hands-on opportunity to build models, build engineer scalable, production-grade ML systems.

    Main 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 across multiple teams to integrate solutions into enterprise platforms.


    Qualifications and Profile

    Mandatory:

    • 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.
    • Knowledge of data science techniques including supervised/unsupervised learning, NLP, time series, etc.
    • Experience with CI/CD pipelines and containerization (Docker, Kubernetes).
    • Strong understanding of AI governance, model risk management, and regulatory requirements in AI.
    • Ability to communicate technical concepts to non-technical stakeholders.

    Preferred skills:

    • 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.

    Next Step

    • If interested, you can click on 'Apply here' or write an e-mail to [HIDDEN TEXT] with your updated resume.
    • NOTE: - Only shortlisted candidates will be contacted back.

    Dimple Jain

    EA LIcence No.91C2918

    Personnel Registration No. R


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