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MLOps Engineer (Databricks & AWS) | Gov| Contract

NEXBRIDGE RECRUITMENT PTE. LTD.

Pay
SGD 7,000 – SGD 8,000 a month
Where
Singapore
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Your applicationOpen nowMLOps Engineer (Databricks & AWS) | Gov| ContractNEXBRIDGE RECRUITMENT PTE. LTD. · Singapore

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The clock on this job

Early applications get read.

12.4% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.4%7 days
  4. 20.0%14 days
  5. 35.5%30 days
  6. 58.6%60 days
This job: posted today

The posting

Key Responsibilities

  • Design and implement MLOps/AIOps platform components for experiment tracking, model deployment, monitoring and retraining using Databricks, MLflow and AWS.
  • Productionise ML/AI prototypes into scalable, tested and maintainable pipelines, APIs and model-serving services.
  • Build and maintain feature engineering pipelines using Databricks, PySpark, SQL and AWS.
  • Develop automated CI/CD/CT workflows for code, data, models and infrastructure deployment.
  • Implement model versioning, experiment tracking, data lineage, reproducibility and governance controls.
  • Monitor system health, model performance, data quality, drift, resource utilisation and cloud costs.
  • Optimise Spark workloads, data pipelines and model-serving infrastructure for performance and reliability.
  • Establish model evaluation, regression testing, A/B testing and deployment rollback processes.
  • Implement cloud security, access controls, audit logging and Responsible AI safeguards.
  • Support recommendation and search systems through model maintenance, retraining, experimentation and performance optimisation.
  • Maintain technical documentation, operational runbooks and deployment records, and support knowledge transfer across teams.

Requirements & Qualifications

  • Degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, Information Systems or a related field.
  • Typically 4–7 years of relevant software, data or ML engineering experience, with hands-on experience deploying and operating production ML/AI systems.
  • Strong Python programming and software engineering skills, including API development, automated testing, Git and modular design.
  • Hands-on experience with Databricks and MLflow for experiment tracking, model registry, workflow orchestration or model serving.
  • Strong proficiency in PySpark, Apache Spark and SQL, including distributed data processing and pipeline optimisation.
  • Experience with Databricks, Delta Lake and AWS S3 for production data pipelines and lakehouse architectures.
  • Experience with feature engineering, data validation, model evaluation, deployment, monitoring and retraining.
  • Familiarity with AWS services such as Glue, IAM, Lambda, Step Functions, CloudWatch and related cloud services.
  • Experience with Docker, CI/CD tools and infrastructure-as-code solutions such as Terraform.
  • Knowledge of model monitoring, drift detection, reproducibility, rollback procedures and cloud security.
  • Strong problem-solving, communication and cross-functional collaboration skills.

Preferred Skills

  • Experience with Unity Catalog, Delta Live Tables, Lakeflow or feature stores.
  • Familiarity with Kubernetes, Airflow, Kafka, AWS MSK/Kinesis or event-driven architectures.
  • Experience productionising generative AI or agentic AI applications.
  • Knowledge of OpenTelemetry, Prometheus, Grafana, A/B testing or champion-challenger deployment.
  • Experience supporting recommendation engines, search systems or high-volume AI services.
  • Familiarity with Singapore public-sector security, governance and Responsible AI requirements.

Interested candidates are invited to apply via the “Apply Now” button.

We regret that only shortlisted candidates will be notified.

By submitting your personal data and CV, you consent to Nexbridge Recruitment Pte Ltd collecting, using and disclosing your personal data for recruitment purposes.

Nexbridge Recruitment Pte Ltd|26C3616

EA Personnel: Guan Jiayi|R22109847

Posting text belongs to the employer. Removal requests: contact us.

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