| Position | Machine Learning Engineer |
| Posted | 2025 August 01 |
| Expired | 2025 August 31 |
| Company | Inspira Multi Technology |
| Location | Jakarta | ID |
| Job Type | Full Time |
Latest Job Information from Company Inspira Multi Technology as position Machine Learning Engineer. If Job Vacancy Machine Learning Engineer in Jakarta matches your criteria, please send your latest application/CV directly through the latest and most updated job site Jobkos.
Every job may not be easy to apply for, because as a new candidate / prospective employee must meet several qualifications and requirements according to the criteria sought by the Company. Hopefully the career information from Inspira Multi Technology as the position Machine Learning Engineer below matches your qualifications.
Responsibilities:
- Design, train and productionise supervised, unsupervised and deep-learning models that power fraud detection, risk scoring and personalised client experiences.
- Build repeatable ML pipelines in Python (TensorFlow / PyTorch / scikit-learn) and Java/Scala, orchestrated in Vertex AI, Azure ML and on-prem GPU clusters.
- Implement full-cycle MLOps—version control, automated testing, CI/CD, model registry, drift monitoring and rollback—using Git/Bitbucket, Terraform, Docker and Kubernetes (GKE ).
- Serve low-latency inference via containerised micro-services and streaming engines (Flink, Spark Structured Streaming, Pub/Sub / Kafka)
- Engineer and manage a cross-cloud feature store, integrating BigQuery and on-prem RDBMS to guarantee consistent training/serving features.
- Conduct robust experimentation (A/B, champion-challenger) and hyper-parameter tuning to optimise model performance and business KPIs.
- Embed responsible-AI controls—bias detection, explainability, encryption, role-based access—aligned with UU PDP & OJK AI governance.
- Produce audit-ready documentation, model cards, and lineage artifacts for regulators and internal risk committees.
- Partner with product, data engineering and compliance teams to translate complex ML outputs into actionable insights and secure APIs.
- Track emerging techniques (LLMs, Gen AI, vector databases) and recommend adoption paths that fit latency, cost and compliance constraints.
Qualifications:
- 3-5 years building and deploying ML solutions at scale; experience in regulated finance a plus.
- Bachelor's in Computer Science, Statistics or related field; Master's/PhD welcomed.
- Advanced Python plus proficiency in Java/Scala; expert SQL for feature engineering on big-data platforms.
- Hands-on with Vertex AI, BigQuery ML, and on-prem GPU or Hadoop ecosystems.
- Proven MLOps skills—GitOps, CI/CD pipelines, Docker/K8s, Terraform Helm charts, model monitoring (Prometheus/Grafana).
- Solid grasp of statistics, optimisation and experimental design; able to tune and validate models against drift and performance KPIs.
- Familiarity with data-ethics frameworks, bias mitigation, and privacy-preserving ML techniques demanded by UU PDP & OJK regulations.
- Experience integrating real-time scoring services with Spark or Flink streams and REST/gRPC endpoints.
- Excellent communication skills to bridge technical depth with executive, product and regulatory stakeholders.
After reading and understanding the criteria and minimum qualification requirements explained in the job information Machine Learning Engineer at the office Jakarta above, immediately complete the job application files such as a job application letter, CV, photocopy of diploma, transcript, and other supplements as explained above. Submit via the Next Page link below.
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