Machine Learning Engineer

Selamat Datang di Situs Lowongan Kerja Indonesia Terbaru 2026 dan Saat ini kami ingin memberitahukan Info Terbaru Mengenai Informasi Loker dari Perusahaan Krom dengan posisi Machine Learning Engineer. Untuk selengkapnya silahkan baca deskripsi lowongan kerja di bawah ini dengan seksama dan teliti, beserta persyaratan minimal lowongan kerja di yang telah tertera dan dijelaskan di bawah ini.

Krom melalui program rekrutmennya saat ini sedang membuka lowongan kerja untuk posisi Machine Learning Engineer di Jakarta yang bertujuan untuk meningkatkan kinerja operasional di dalam maupun luar kantor Krom. Perusahaan Tersebut sedang mencari calon tenaga kerja yang siap diterjunkan ke setiap divisi bagian perusahaan yang sesuai dengan posisi, kemampuan dan keahlian para pencari kerja tersebut. Berikut ini adalah detail lengkap persyaratan untuk posisi Machine Learning Engineer di Jakarta Perusahaan Krom:

About The Role:

At Krom Bank Indonesia, we are building the future of digital banking through fast, reliable, and intelligent financial services powered by data and AI. We are looking for a Machine Learning Engineer who will work closely with the Data Science team to build and maintain machine learning systems across key business functions such as credit scoring, fraud detection, risk management, and customer intelligence.

You will be responsible for transforming data science models into scalable, production-ready systems and ensuring machine learning pipelines and infrastructure are reliable, maintainable, and efficient. Our ideal candidate is hands-on, detail-oriented, and passionate about building robust ML systems at scale.

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Job Purpose

Collaborate with the Data Science team to build reliable data pipelines, scalable ML infrastructure, and production-ready machine learning systems across credit, fraud, and risk functions.

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Key Responsibilities:

• Build and maintain ML pipeline infrastructure, including ETL processes and feature pipelines
• Automate model training, testing, deployment, monitoring, and maintenance
• Partner with Data Scientists to productionize predictive models into scalable systems
• Ensure ML services and data pipelines are reliable, maintainable, and debuggable
• Improve model performance through monitoring, validation, and optimization
• Collaborate with Engineering, Product, and Data teams to support end-to-end ML delivery
• Contribute to MLOps standards and best practices across the team

About You:

• Minimum Bachelor’s Degree (S1) in Computer Science, Mathematics, Statistics, Engineering, Artificial Intelligence, Data Science, or other related quantitative fields.
• Strong understanding of data structures, data modeling, and ML system architecture
• Proficiency in writing production-ready code using Python
• Familiarity with GoLang is a plus
• Strong knowledge of MySQL/PostgreSQL and data platforms such as S3
• Familiarity with ML/LLM libraries such as TensorFlow, Keras, PyTorch, scikit-learn, LangGraph, Strands Agents SDK, LiteLLM
• Experience using FastAPI, Airflow, or similar frameworks
• Experience with cloud platforms, preferably AWS
• Good understanding of CI/CD, deployment, and production monitoring for ML systems
• Strong problem-solving skills and ownership mindset
• Minimum 1 year of relevant experience in Data Engineering, Software Engineering, or Machine Learning Engineering
• Hands-on experience deploying machine learning models and building feature pipelines
• Experience in fintech, digital banking, or lending is a plus