Machine Learning Ops
PT Bumi Amartha Teknologi Mandiri
- Central Jakarta, Indonesia9, RT10/RW01, Jalan Jenderal Sudirman, Karet Kel., Setia Budi, Central Jakarta, DKI Jakarta, IndonesiaCentral JakartaDKI JakartaIndonesiaIndonesia
- ContractualCONTRACTOR
Posted 7 days ago and deadline of application is on 7 Dec
Recruiter was hiring an hour ago
2024-11-08T07:05:02.258142+00:002024-12-07T17:00:00+00:00Job Description
- Work closely with Data Scientists, Data Engineers and Backend Engineers to deploy, manage, and optimize machine learning models in production environments, ensuring smooth integration and efficient operations.
- Implementing:
- Model hyper parameter optimization
- Model evaluation and explain ability
- Model training and automated retraining
- Model version tracking & governance
- Data archival & version management
- Model and drift monitoring
- Creating and using benchmarks, metrics, and monitoring to measure and improve services.
- Providing best practices and executing POC for automated and efficient model operations at scale.
- Designing and developing scalable MLOps frameworks to support models based on client requirements.
Minimum Qualifications
- Bachelor's degree of Computer Science or related field.
- Checking deployment pipelines for machine learning models.
- Collaborate with ML Engineer and Data Scientists to streamline model development and deployment process.
- Triggers CI/CD pipelines after code approvals.
- Monitors pipelines and ensures all tests pass and model artifacts are generated/stored correctly.
- Deploys updated models to prod after pipeline completion.
- Works closely with the software engineering and DevOps team to ensure smooth integration.
- Containerize models using Docker (if applicable, depending on the model) and deploy on GCP cloud platforms.
- Set up monitoring tools to track various metrics like response time, error rates, and resource utilization.
- Establish alerts and notifications to quickly detect anomalies or deviations from expected behavior.
- Analyze monitoring data, log, files, and system metrics.
- Collaborate with the data science team to develop updated pipelines to cover any faults.
- Documenting and troubleshoots, changes, and optimization.
- Collaborate with cross-functional teams to integrate MLOps solutions into new / existing systems and applications.
- Work with cross-functional teams to assist in model selection and assisting in defining evaluation criteria.
- Willing to work in Banking Industry (Tangerang)
Jobs Summary
- Job Level
- Entry Level / Junior, Apprentice
- Job Category
- IT and Software
- Educational Requirement
- Bachelor's degree graduate
- Recruiter response to application
- Once in a while
- Office Address
- Jalan Jenderal Sudirman, Karet Kel., Setiabudi
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About PT Bumi Amartha Teknologi Mandiri
Bumi Amartha Teknologi Mandiri or “AMARTEK” was established to provide information technology solutions. Our mission from the very first day has been to cultivate professional relationships with our clients to provide effective and reliable information technology solutions for their needs. The team at "AMARTEK" is equipped with a highly developed skillset developed over decades of experience not only in information technology but also in business processes across a range of industry sectors. This business experience makes us uniquely positioned to offer solutions promising greater operational efficiency, productivity gains and cost savings for each of our clients, regardless of their industry.
As an established technology-intensive company, we pride ourselves on providing a comprehensive suite of solutions comprising of Infrastructure Consultancy, on/offsite services, Custom software and web development, Talent Augmentation, and enterprise architecture consulting. Our team consistently delivers state-of-the-art solutions in various areas including, but not limited to: integrated business solutions, system applications, product development and professional services.
At "AMARTEK", we guarantee rapid, reliable and robust information technology solutions that work.